37 lines
1.1 KiB
TypeScript
37 lines
1.1 KiB
TypeScript
import minisearch from "minisearch";
|
|
// import { cutForSearch } from "nodejs-jieba";
|
|
import { getPostFileContent, sortedPosts } from "./post-process";
|
|
|
|
// TODO: The jieba tokenizer seems not be supported by vercel platform
|
|
// that causes the module loading error.
|
|
// So here is the remain task for seeking better Chinese tokenizer.
|
|
// function tokenizer(str: string) {
|
|
// return cutForSearch(str, true);
|
|
// }
|
|
|
|
function makeSearchIndex() {
|
|
let miniSearch = new minisearch({
|
|
fields: ["id", "title", "tags", "subtitle", "summary", "content"],
|
|
storeFields: ["id", "title", "tags"],
|
|
// tokenize: tokenizer,
|
|
searchOptions: {
|
|
fuzzy: 0.1,
|
|
},
|
|
});
|
|
for (let index = 0; index < sortedPosts.allPostList.length; index++) {
|
|
const post = sortedPosts.allPostList[index];
|
|
const content = getPostFileContent(post.id);
|
|
miniSearch.add({
|
|
id: post.id,
|
|
title: post.frontMatter.title,
|
|
tags: post.frontMatter.tags,
|
|
subtitle: post.frontMatter.subtitle,
|
|
summary: post.frontMatter.summary,
|
|
content: content,
|
|
});
|
|
}
|
|
return miniSearch;
|
|
}
|
|
|
|
export const SearchIndex = makeSearchIndex();
|