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build(docs-infra): improve search quality (#25750)

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PR Close #25750
This commit is contained in:
Pete Bacon Darwin
2018-09-14 14:08:48 +01:00
committed by Kara Erickson
parent 9931bd7576
commit 96f9f03d25
5 changed files with 41 additions and 27 deletions
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38
aio/tools/transforms/angular-base-package/processors/generateKeywords.js vendored
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@ -31,9 +31,6 @@ module.exports = function generateKeywordsProcessor(log, readFilesProcessor) {
var propertiesToIgnore;
var docTypesToIgnore;
// Keywords start with "ng:" or one of $, _ or a letter
var KEYWORD_REGEX = /^((ng:|[$_a-z])[\w\-_]+)/;
// Load up the keywords to ignore, if specified in the config
if (this.ignoreWordsFile) {
var ignoreWordsPath = path.resolve(readFilesProcessor.basePath, this.ignoreWordsFile);
@ -52,20 +49,33 @@ module.exports = function generateKeywordsProcessor(log, readFilesProcessor) {
// If the heading contains a name starting with ng, e.g. "ngController", then add the
// name without the ng to the text, e.g. "controller".
function preprocessText(text) {
return text.replace(/(^|\s)([nN]g([A-Z]\w*))/g, '$1$2 $3');
function tokenize(text) {
const rawTokens = text.split(/[\s\/]+/mg);
const tokens = [];
rawTokens.forEach(token => {
// Strip off unwanted trivial characters
token = token
.trim()
.replace(/^[_\-"'`({[<$*)}\]>.]+/, '')
.replace(/[_\-"'`({[<$*)}\]>.]+$/, '');
// Ignore tokens that contain weird characters
if (/^[\w.\-]+$/.test(token)) {
tokens.push(token.toLowerCase());
const ngTokenMatch = /^[nN]g([A-Z]\w*)/.exec(token);
if (ngTokenMatch) {
tokens.push(ngTokenMatch[1].toLowerCase());
}
}
});
return tokens;
}
function extractWords(text, words, keywordMap) {
var tokens = preprocessText(text).toLowerCase().split(/[.\s,`'"#]+/mg);
var tokens = tokenize(text);
tokens.forEach(function(token) {
var match = token.match(KEYWORD_REGEX);
if (match) {
var key = match[1];
if (!keywordMap[key]) {
keywordMap[key] = true;
words.push(key);
}
if (!keywordMap[token]) {
words.push(token);
keywordMap[token] = true;
}
});
}
@ -116,7 +126,7 @@ module.exports = function generateKeywordsProcessor(log, readFilesProcessor) {
// Attach all this search data to the document
doc.searchTerms = {
titleWords: preprocessText(doc.searchTitle),
titleWords: tokenize(doc.searchTitle).join(' '),
headingWords: headingWords.sort().join(' '),
keywords: words.sort().join(' '),
members: members.sort().join(' ')