feat: initial commit

This commit is contained in:
Menci
2026-01-01 03:40:41 +08:00
commit 631f8ed771
98 changed files with 14776 additions and 0 deletions
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root = true
[*.cs]
charset = utf-8
indent_style = space
indent_size = 4
end_of_line = lf
insert_final_newline = true
trim_trailing_whitespace = true
[*.{csproj,props,slnx}]
charset = utf-8
indent_style = space
indent_size = 2
end_of_line = lf
insert_final_newline = true
trim_trailing_whitespace = true
[*.{ts,tsx,js,json}]
charset = utf-8
indent_style = space
indent_size = 2
end_of_line = lf
insert_final_newline = true
trim_trailing_whitespace = true
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name: CI
on:
push:
pull_request:
jobs:
ci:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- name: Setup pnpm
uses: pnpm/action-setup@v4
- name: Setup Node.js
uses: actions/setup-node@v4
with:
node-version: 24
cache: pnpm
- name: Setup .NET
uses: actions/setup-dotnet@v4
with:
dotnet-version: 10.0.x
- name: Install dependencies
run: pnpm install --frozen-lockfile
- name: Typecheck
run: pnpm typecheck
- name: Lint
run: pnpm lint
- name: Test (TypeScript)
run: pnpm test
- name: Test (.NET)
run: pnpm test:dotnet
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# Logs
logs
*.log
npm-debug.log*
yarn-debug.log*
yarn-error.log*
lerna-debug.log*
# Diagnostic reports (https://nodejs.org/api/report.html)
report.[0-9]*.[0-9]*.[0-9]*.[0-9]*.json
# Runtime data
pids
*.pid
*.seed
*.pid.lock
# Directory for instrumented libs generated by jscoverage/JSCover
lib-cov
# Coverage directory used by tools like istanbul
coverage
*.lcov
# nyc test coverage
.nyc_output
# Grunt intermediate storage (https://gruntjs.com/creating-plugins#storing-task-files)
.grunt
# Bower dependency directory (https://bower.io/)
bower_components
# node-waf configuration
.lock-wscript
# Compiled binary addons (https://nodejs.org/api/addons.html)
build/Release
# Dependency directories
node_modules/
jspm_packages/
# Snowpack dependency directory (https://snowpack.dev/)
web_modules/
# TypeScript cache
*.tsbuildinfo
# Optional npm cache directory
.npm
# Optional eslint cache
.eslintcache
# Optional stylelint cache
.stylelintcache
# Optional REPL history
.node_repl_history
# Output of 'npm pack'
*.tgz
# Yarn Integrity file
.yarn-integrity
# dotenv environment variable files
.env
.env.*
!.env.example
# parcel-bundler cache (https://parceljs.org/)
.cache
.parcel-cache
# Next.js build output
.next
out
# Nuxt.js build / generate output
.nuxt
dist
.output
# Gatsby files
.cache/
# Comment in the public line in if your project uses Gatsby and not Next.js
# https://nextjs.org/blog/next-9-1#public-directory-support
# public
# vuepress build output
.vuepress/dist
# vuepress v2.x temp and cache directory
.temp
.cache
# Sveltekit cache directory
.svelte-kit/
# vitepress build output
**/.vitepress/dist
# vitepress cache directory
**/.vitepress/cache
# Docusaurus cache and generated files
.docusaurus
# Serverless directories
.serverless/
# FuseBox cache
.fusebox/
# DynamoDB Local files
.dynamodb/
# Firebase cache directory
.firebase/
# TernJS port file
.tern-port
# Stores VSCode versions used for testing VSCode extensions
.vscode-test
# yarn v3
.pnp.*
.yarn/*
!.yarn/patches
!.yarn/plugins
!.yarn/releases
!.yarn/sdks
!.yarn/versions
# Vite files
vite.config.js.timestamp-*
vite.config.ts.timestamp-*
.vite/
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{
"editor.tabSize": 4,
"dotnet.defaultSolution": "dotnet/MaigoLabs.NeedLe.slnx",
"files.associations": {
"*.slnx": "xml"
},
"eslint.useFlatConfig": true,
"editor.codeActionsOnSave": {
"source.fixAll.eslint": "explicit"
},
"eslint.rules.customizations": [
{
"rule": "*",
"severity": "warn"
}
],
"eslint.validate": ["javascript", "javascriptreact", "typescript", "typescriptreact", "vue"]
}
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The Free Software Foundation may publish revised and/or new versions of
the GNU Affero General Public License from time to time. Such new versions
will be similar in spirit to the present version, but may differ in detail to
address new problems or concerns.
Each version is given a distinguishing version number. If the
Program specifies that a certain numbered version of the GNU Affero General
Public License "or any later version" applies to it, you have the
option of following the terms and conditions either of that numbered
version or of any later version published by the Free Software
Foundation. If the Program does not specify a version number of the
GNU Affero General Public License, you may choose any version ever published
by the Free Software Foundation.
If the Program specifies that a proxy can decide which future
versions of the GNU Affero General Public License can be used, that proxy's
public statement of acceptance of a version permanently authorizes you
to choose that version for the Program.
Later license versions may give you additional or different
permissions. However, no additional obligations are imposed on any
author or copyright holder as a result of your choosing to follow a
later version.
15. Disclaimer of Warranty.
THERE IS NO WARRANTY FOR THE PROGRAM, TO THE EXTENT PERMITTED BY
APPLICABLE LAW. EXCEPT WHEN OTHERWISE STATED IN WRITING THE COPYRIGHT
HOLDERS AND/OR OTHER PARTIES PROVIDE THE PROGRAM "AS IS" WITHOUT WARRANTY
OF ANY KIND, EITHER EXPRESSED OR IMPLIED, INCLUDING, BUT NOT LIMITED TO,
THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR
PURPOSE. THE ENTIRE RISK AS TO THE QUALITY AND PERFORMANCE OF THE PROGRAM
IS WITH YOU. SHOULD THE PROGRAM PROVE DEFECTIVE, YOU ASSUME THE COST OF
ALL NECESSARY SERVICING, REPAIR OR CORRECTION.
16. Limitation of Liability.
IN NO EVENT UNLESS REQUIRED BY APPLICABLE LAW OR AGREED TO IN WRITING
WILL ANY COPYRIGHT HOLDER, OR ANY OTHER PARTY WHO MODIFIES AND/OR CONVEYS
THE PROGRAM AS PERMITTED ABOVE, BE LIABLE TO YOU FOR DAMAGES, INCLUDING ANY
GENERAL, SPECIAL, INCIDENTAL OR CONSEQUENTIAL DAMAGES ARISING OUT OF THE
USE OR INABILITY TO USE THE PROGRAM (INCLUDING BUT NOT LIMITED TO LOSS OF
DATA OR DATA BEING RENDERED INACCURATE OR LOSSES SUSTAINED BY YOU OR THIRD
PARTIES OR A FAILURE OF THE PROGRAM TO OPERATE WITH ANY OTHER PROGRAMS),
EVEN IF SUCH HOLDER OR OTHER PARTY HAS BEEN ADVISED OF THE POSSIBILITY OF
SUCH DAMAGES.
17. Interpretation of Sections 15 and 16.
If the disclaimer of warranty and limitation of liability provided
above cannot be given local legal effect according to their terms,
reviewing courts shall apply local law that most closely approximates
an absolute waiver of all civil liability in connection with the
Program, unless a warranty or assumption of liability accompanies a
copy of the Program in return for a fee.
END OF TERMS AND CONDITIONS
How to Apply These Terms to Your New Programs
If you develop a new program, and you want it to be of the greatest
possible use to the public, the best way to achieve this is to make it
free software which everyone can redistribute and change under these terms.
To do so, attach the following notices to the program. It is safest
to attach them to the start of each source file to most effectively
state the exclusion of warranty; and each file should have at least
the "copyright" line and a pointer to where the full notice is found.
<one line to give the program's name and a brief idea of what it does.>
Copyright (C) <year> <name of author>
This program is free software: you can redistribute it and/or modify
it under the terms of the GNU Affero General Public License as published
by the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU Affero General Public License for more details.
You should have received a copy of the GNU Affero General Public License
along with this program. If not, see <https://www.gnu.org/licenses/>.
Also add information on how to contact you by electronic and paper mail.
If your software can interact with users remotely through a computer
network, you should also make sure that it provides a way for users to
get its source. For example, if your program is a web application, its
interface could display a "Source" link that leads users to an archive
of the code. There are many ways you could offer source, and different
solutions will be better for different programs; see section 13 for the
specific requirements.
You should also get your employer (if you work as a programmer) or school,
if any, to sign a "copyright disclaimer" for the program, if necessary.
For more information on this, and how to apply and follow the GNU AGPL, see
<https://www.gnu.org/licenses/>.
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# needLe
Fuzzy search engine for small text pieces, with Chinese/Japanese pronunciation support.
Available in [TypeScript](./packages/needle) and [C#](./dotnet). Click the link for detailed documentation.
See also [in-browser demo](https://needle.maigo.dev).
## Packages
| Platform | Package | Install |
|:--------:|:-------:|:-------:|
| Node.js / Browser | [@maigolabs/needle](https://www.npmjs.com/package/@maigolabs/needle) | `pnpm add @maigolabs/needle` |
| .NET Standard 2.0 | [MaigoLabs.NeedLe](https://www.nuget.org/packages/MaigoLabs.NeedLe) | `dotnet add package MaigoLabs.NeedLe` |
## The Name
The word "needle" is from the phrase [Needle in a Haystack](https://en.wikipedia.org/wiki/Needle_in_a_haystack). Normally, searching tasks are finding a small string ("needle") in a large string ("haystack"). However, this project is designed for searching in small strings (specifically, music names) instead of large strings. We are finding needles in needles.
The capitalized "L" is from the music name [needLe](https://projectsekai.fandom.com/wiki/NeedLe).
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<!doctype html>
<html lang="en">
<head>
<meta charset="UTF-8" />
<meta name="viewport" content="width=device-width, initial-scale=1.0" />
<title>MaigoLabs :: needLe</title>
</head>
<body>
<div id="root"></div>
<script type="module" src="/src/main.tsx"></script>
</body>
</html>
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{
"name": "@maigolabs/needle-demo",
"version": "1.0.0",
"type": "module",
"scripts": {
"typecheck": "tsc",
"dev": "vite --port 5172",
"build": "tsc -b && vite build"
},
"license": "AGPL-3.0",
"packageManager": "pnpm@10.20.0",
"private": true,
"dependencies": {
"@maigolabs/needle": "workspace:*",
"react": "^19.2.0",
"react-dom": "^19.2.0"
},
"devDependencies": {
"@iconify-json/svg-spinners": "^1.2.4",
"@types/node": "^24.10.1",
"@types/react": "^19.2.5",
"@types/react-dom": "^19.2.3",
"@vitejs/plugin-react": "^5.1.1",
"unocss": "^66.5.12",
"vite": "^7.2.4",
"vite-plugin-top-level-await": "^1.6.0"
}
}
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/fonts
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import { TokenType } from '@maigolabs/needle/common';
import {
searchInvertedIndex,
highlightSearchResult,
type SearchResult,
} from '@maigolabs/needle/searcher';
import { useState, type FunctionComponent } from 'react';
type Tab = 'search' | 'tokenize';
type AppData = typeof import('./data');
export const Layout: FunctionComponent<{ dataPromise: Promise<AppData> }> = ({ dataPromise }) => {
const [appData, setAppData] = useState<AppData | null>(null);
const [error, setError] = useState<string | null>(null);
void dataPromise.then(props => setAppData(props)).catch(error => setError((error instanceof Error ? error.stack : undefined) ?? String(error)));
return (
<div className="min-h-screen bg-[#f9f2e0] text-[#8b7355] font-mono selection:bg-[#d4c4b0]/70">
<div className="max-w-200 mx-auto px-4 pt-8 pb-6">
<header className="mb-8">
<h1 className="pb-3 text-2xl text-[#a08060]">MaigoLabs :: needLe</h1>
<div className="pb-4 text-sm">
<p>Fuzzy search engine for small text pieces, with Chinese/Japanese pronunciation support</p>
<p>(Available in TypeScript and C#)</p>
</div>
<div className="flex gap-4 text-sm">
<a href="https://github.com/MaigoLabs/needLe" target="_blank" rel="noopener" className="text-[#b8a890] hover:text-[#8b7355]">[GitHub]</a>
<a href="https://www.npmjs.com/package/@maigolabs/needle" target="_blank" rel="noopener" className="text-[#b8a890] hover:text-[#8b7355]">[NPM]</a>
<a href="https://www.nuget.org/packages/MaigoLabs.NeedLe" target="_blank" rel="noopener" className="text-[#b8a890] hover:text-[#8b7355]">[NuGet]</a>
</div>
</header>
{
appData
? <App appData={appData} />
: error
? <div className="text-sm bg-[#efe5d0] px-4 py-3 rounded-lg whitespace-pre-wrap">{error}</div>
: <div>
<div className="flex flex-row items-center gap-2"><div className="i-svg-spinners:ring-resize" /> Loading...</div>
<div className="mt-6 text-sm bg-[#efe5d0] px-4 py-3 rounded-lg">
<div className="font-bold mb-2">Tips:</div>
<div>This demo loads Kuromoji/OpenCC/pinyin-pro for tokenization and index building.</div>
<div>However, searching on a prebuilt index doesn't require loading any external library/dictionary.</div>
</div>
</div>
}
</div>
</div>
);
};
interface AppProps {
appData: AppData;
}
export const App: FunctionComponent<AppProps> = ({ appData: { kuromoji, createTokenizer, invertedIndex } }) => {
const [input, setInput] = useState('');
const [tab, setTab] = useState<Tab>('search');
const searchResults = tab === 'search' && input.trim()
? searchInvertedIndex(invertedIndex, input).slice(0, 50)
: [];
const tokenizeResults = tab === 'tokenize' && input.trim()
? (() => {
const tokenizer = createTokenizer({ kuromoji });
const tokens = tokenizer.tokenize(input);
const tokenDefs = tokenizer.tokens;
const codePoints = [...input];
return tokens.map(t => {
const def = [...tokenDefs.values()].find(d => d.id === t.id)!;
const original = codePoints.slice(t.start, t.end).join('');
return { ...t, type: def.type, text: def.text, original };
});
})()
: [];
return (
<>
<input
type="text"
value={input}
onChange={e => setInput(e.target.value)}
placeholder={`Type something to ${tab}...`}
className="w-full bg-[#efe5d0] text-[#6b5a48] px-3 py-2 mb-2 outline-none placeholder-[#b8a890] rounded-lg"
/>
<div className="flex gap-4 mb-6 text-sm">
<button
onClick={() => setTab('search')}
className={`bg-transparent border-none cursor-pointer ${tab === 'search' ? 'text-[#6b5a48]' : 'text-[#c0b0a0]'}`}
>
Search
</button>
<button
onClick={() => setTab('tokenize')}
className={`bg-transparent border-none cursor-pointer ${tab === 'tokenize' ? 'text-[#6b5a48]' : 'text-[#c0b0a0]'}`}
>
Tokenize
</button>
</div>
<div className="space-y-2">
{tab === 'search' && searchResults.map((result, i) => (
<SearchResultItem key={i} result={result} input={input} />
))}
{tab === 'tokenize' && tokenizeResults.length > 0 && (
<div className="grid grid-cols-[repeat(auto-fill,minmax(280px,1fr))] gap-1">
{tokenizeResults.map((token, i) => (
<div key={i} className="bg-[#efe5d0] px-3 py-2 text-sm truncate rounded-lg">
<span className="text-[#a08060]">{TokenType[token.type]}: </span>
<span className="text-[#6b5a48]">{JSON.stringify(token.text)}</span>
<span className="text-[#c0b0a0]">{' <- '}</span>
<span className="text-[#8b7355]">{JSON.stringify(token.original)}</span>
<span className="text-[#c8bba8]">{` [${token.start}, ${token.end}]`}</span>
</div>
))}
</div>
)}
{input.trim() && tab === 'search' && searchResults.length === 0 && (
<div className="text-[#b8a890] text-sm">No results.</div>
)}
</div>
</>
);
};
const SearchResultItem: FunctionComponent<{ result: SearchResult; input: string }> = ({ result, input }) => {
const highlighted = highlightSearchResult(result);
const inputCodePoints = [...input];
const stats = [
`${result.rangeCount} range(s)`,
`${Math.round(result.matchRatio * 100)}%`,
result.prefixMatchCount > 0 ? `${result.prefixMatchCount} prefix` : null,
].filter(Boolean).join(', ');
return (
<div className="bg-[#efe5d0] px-3 py-2 text-sm rounded-lg">
<div className="flex gap-2">
<div className="flex-1 truncate">
{highlighted.map((part, i) =>
typeof part === 'string'
? <span key={i} className="text-[#b8a890]">{part}</span>
: <span key={i} className="text-[#5a4a38]">{part.highlight}</span>)}
</div>
<div className="text-[#c8bba8] shrink-0">{stats}</div>
</div>
<div className="grid grid-cols-[repeat(auto-fill,minmax(200px,1fr))] gap-x-2 mt-1">
{result.tokens.map((token, i) => {
const inputText = inputCodePoints.slice(token.inputOffset.start, token.inputOffset.end).join('');
const docText = result.documentCodePoints.slice(token.documentOffset.start, token.documentOffset.end).join('');
return (
<div key={i} className="text-[11px] truncate">
<span className="text-[#b8a890]">{TokenType[token.definition.type]}: </span>
<span className="text-[#8b7355]">{JSON.stringify(inputText)}</span>
<span className="text-[#c8bba8]">{' -> '}</span>
<span className="text-[#6b5a48]">{JSON.stringify(docText)}</span>
{token.isTokenPrefixMatching && <span className="text-[#b8a890]">{' (prefix)'}</span>}
</div>
);
})}
</div>
</div>
);
};
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import { buildInvertedIndex } from '@maigolabs/needle/indexer';
import { loadInvertedIndex } from '@maigolabs/needle/searcher';
import { TokenizerBuilder } from '@patdx/kuromoji';
// Indexer loads OpenCC and pinyin-pro which is large, put them in data.ts for dynamic importing.
export { createTokenizer } from '@maigolabs/needle/indexer';
const musicNames: string[] = [...new Set(
Object.values(
await (await fetch('https://sekai-world.github.io/sekai-master-db-diff/musics.json')).json(),
).map(music => (music as { title: string }).title),
)];
export const kuromoji = await new TokenizerBuilder({
loader: {
loadArrayBuffer: async (url: string) => {
url = `https://cdn.jsdelivr.net/npm/@aiktb/kuromoji@1.0.2/dict/${url.replace('.gz', '')}`;
const res = await fetch(url);
if (!res.ok) throw new Error(`Failed to fetch ${url}`);
return await res.arrayBuffer();
},
},
}).build();
export const compressed = buildInvertedIndex(musicNames, { kuromoji });
export const invertedIndex = loadInvertedIndex(compressed);
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import { StrictMode } from 'react';
import { createRoot } from 'react-dom/client';
import { Layout } from './App';
import 'virtual:uno.css';
import '@unocss/reset/tailwind.css';
createRoot(document.getElementById('root')!).render(
<StrictMode>
<Layout dataPromise={import('./data')} />
</StrictMode>,
);
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{
"compilerOptions": {
"target": "ESNext",
"jsx": "preserve",
"lib": ["DOM", "DOM.Iterable", "ESNext", "WebWorker"],
"types": ["vite/client"],
"module": "ESNext",
"moduleResolution": "Bundler",
"noUncheckedIndexedAccess": true,
"resolveJsonModule": true,
"allowJs": true,
"strict": true,
"strictNullChecks": true,
"noEmit": true,
"esModuleInterop": true,
"forceConsistentCasingInFileNames": true,
"isolatedModules": true,
"skipLibCheck": true,
"rootDir": ".",
"outDir": "dist"
},
"include": ["src/**/*.ts", "src/**/*.tsx"],
"exclude": ["dist", "node_modules"]
}
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import { createLocalFontProcessor } from '@unocss/preset-web-fonts/local';
import { defineConfig, presetWind3, presetTypography, presetWebFonts, transformerVariantGroup, transformerDirectives, presetIcons } from 'unocss';
export default defineConfig({
presets: [
presetWind3(),
presetTypography(),
presetIcons({
scale: 1.2,
warn: true,
}),
presetWebFonts({
fonts: {
mono: {
name: 'Maple Mono',
provider: 'fontsource',
},
},
processors: createLocalFontProcessor({
cacheDir: 'node_modules/.cache/unocss/fonts',
fontAssetsDir: 'public/assets/fonts/cache',
fontServeBaseUrl: '/assets/fonts/cache',
}),
}),
],
transformers: [
transformerDirectives(),
transformerVariantGroup(),
],
});
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import { defineConfig } from 'vite'
import UnoCSS from 'unocss/vite'
import react from '@vitejs/plugin-react'
import topLevelAwait from 'vite-plugin-top-level-await'
// https://vite.dev/config/
export default defineConfig({
plugins: [react(), UnoCSS(), topLevelAwait()],
build: {
assetsInlineLimit: 0,
minify: true
},
})
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{
"name": "@maigolabs/needle-playground-bot",
"version": "1.0.0",
"type": "module",
"scripts": {
"start": "tsx src/index.ts",
"typecheck": "tsc"
},
"license": "AGPL-3.0",
"packageManager": "pnpm@10.20.0",
"private": true,
"dependencies": {
"@maigolabs/needle": "workspace:*",
"telegraf": "^4.16.3"
},
"devDependencies": {
"@types/node": "^24.10.4"
}
}
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import fs from 'node:fs';
import path from 'node:path';
import url from 'node:url';
import { TokenType } from '@maigolabs/needle/common';
import { buildInvertedIndex, createTokenizer } from '@maigolabs/needle/indexer';
import { loadInvertedIndex, inspectSearchResult, searchInvertedIndex } from '@maigolabs/needle/searcher';
import { TokenizerBuilder } from '@patdx/kuromoji';
import NodeDictionaryLoader from '@patdx/kuromoji/node';
import { Telegraf } from 'telegraf';
const botToken = process.env.TELEGRAM_BOT_TOKEN!;
const targetChatId = parseInt(process.env.TARGET_CHAT_ID!);
if (!botToken || isNaN(targetChatId)) throw new Error('Missing environment variables TELEGRAM_BOT_TOKEN or TARGET_CHAT_ID');
const bot = new Telegraf(botToken);
const escapeHtml = (s: string) => s.replaceAll('&', '&amp;').replaceAll('<', '&lt;').replaceAll('>', '&gt;');
const commands = await (async () => {
const kuromojiDictPath = path.resolve(url.fileURLToPath(import.meta.resolve('@patdx/kuromoji')), '..', '..', 'dict');
const kuromoji = await new TokenizerBuilder({ loader: new NodeDictionaryLoader({ dic_path: kuromojiDictPath }) }).build();
const documents = (await fs.promises.readFile('../../example.txt', 'utf-8')).split('\n').filter(line => line.length > 0);
const startBuildInvertedIndex = performance.now();
const compressed = buildInvertedIndex(documents, { kuromoji });
const endBuildInvertedIndex = performance.now();
console.log(`Built inverted index in ${endBuildInvertedIndex - startBuildInvertedIndex}ms`);
const startLoadInvertedIndex = performance.now();
const invertedIndex = loadInvertedIndex(compressed);
const endLoadInvertedIndex = performance.now();
console.log(`Loaded inverted index in ${endLoadInvertedIndex - startLoadInvertedIndex}ms`);
const codify = (text: string) => `<code>${escapeHtml(text)}</code>`;
return {
needle: (text: string) => {
const startSearch = performance.now();
const results = searchInvertedIndex(invertedIndex, text);
const endSearch = performance.now();
const searchDuration = (endSearch - startSearch).toFixed(3);
const showingResults = results.slice(0, 5);
return results.length === 0 ? codify(`No results found after ${searchDuration}ms`) : [
codify(`Search completed in ${searchDuration}ms, showing ${showingResults.length}/${results.length} results:\n`),
...showingResults.map(result => inspectSearchResult(result, true)),
].join('\n').trimEnd();
},
tokenize: (text: string) => {
const startTokenize = performance.now();
const tokenizer = createTokenizer({ kuromoji });
const tokens = tokenizer.tokenize(text);
const tokenDefinitions = [...tokenizer.tokens.values()];
const endTokenize = performance.now();
const tokenizeDuration = (endTokenize - startTokenize).toFixed(3);
return codify(tokens.length === 0 ? `No tokens emitted after ${tokenizeDuration}ms` : [
`Tokenization completed in ${tokenizeDuration}ms, emitted ${tokens.length} tokens:`,
...tokens
.map(token => [tokenDefinitions[token.id]!, token, [...text].slice(token.start, token.end).join('')] as const)
.map(([token, { start, end }, originalPhrase]) => ` ${TokenType[token.type]}: ${JSON.stringify(token.text)} <- ${JSON.stringify(originalPhrase)} [${start}, ${end}]`),
].join('\n'));
},
};
})();
bot.on('message', async ctx => {
const text = 'text' in ctx.message ? ctx.message.text : undefined;
console.log(`${ctx.chat.id ?? 'N/A'}:${ctx.from!.id} ${JSON.stringify(text)}`);
if (ctx.chat.id === targetChatId) {
if (text?.startsWith('/needle ')) {
await ctx.reply(commands.needle(text.slice('/needle '.length)), { parse_mode: 'HTML' });
} else if (text?.startsWith('/tokenize ')) {
await ctx.reply(commands.tokenize(text.slice('/tokenize '.length)), { parse_mode: 'HTML' });
}
}
});
await bot.launch();
void bot.telegram.getMe().then(me => console.log(`Bot logged in as ${me.first_name} (@${me.username})`));
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{
"compilerOptions": {
"target": "ESNext",
"jsx": "preserve",
"lib": ["DOM", "DOM.Iterable", "ESNext", "WebWorker"],
"module": "ESNext",
"moduleResolution": "Bundler",
"noUncheckedIndexedAccess": true,
"resolveJsonModule": true,
"allowJs": true,
"strict": true,
"strictNullChecks": true,
"noEmit": true,
"esModuleInterop": true,
"forceConsistentCasingInFileNames": true,
"isolatedModules": true,
"skipLibCheck": true,
"rootDir": ".",
"outDir": "dist"
},
"include": ["src/**/*.ts"],
"exclude": ["dist", "node_modules"]
}
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# Created by https://www.toptal.com/developers/gitignore/api/git,visualstudio
# Edit at https://www.toptal.com/developers/gitignore?templates=git,visualstudio
### Git ###
# Created by git for backups. To disable backups in Git:
# $ git config --global mergetool.keepBackup false
*.orig
# Created by git when using merge tools for conflicts
*.BACKUP.*
*.BASE.*
*.LOCAL.*
*.REMOTE.*
*_BACKUP_*.txt
*_BASE_*.txt
*_LOCAL_*.txt
*_REMOTE_*.txt
### VisualStudio ###
## Ignore Visual Studio temporary files, build results, and
## files generated by popular Visual Studio add-ons.
##
## Get latest from https://github.com/github/gitignore/blob/master/VisualStudio.gitignore
# User-specific files
*.rsuser
*.suo
*.user
*.userosscache
*.sln.docstates
# User-specific files (MonoDevelop/Xamarin Studio)
*.userprefs
# Mono auto generated files
mono_crash.*
# Build results
[Dd]ebug/
[Dd]ebugPublic/
[Rr]elease/
[Rr]eleases/
x64/
x86/
[Aa][Rr][Mm]/
[Aa][Rr][Mm]64/
bld/
[Bb]in/
[Oo]bj/
[Ll]og/
[Ll]ogs/
# Visual Studio 2015/2017 cache/options directory
.vs/
# Uncomment if you have tasks that create the project's static files in wwwroot
#wwwroot/
# Visual Studio 2017 auto generated files
Generated\ Files/
# MSTest test Results
[Tt]est[Rr]esult*/
[Bb]uild[Ll]og.*
# NUnit
*.VisualState.xml
TestResult.xml
nunit-*.xml
# Build Results of an ATL Project
[Dd]ebugPS/
[Rr]eleasePS/
dlldata.c
# Benchmark Results
BenchmarkDotNet.Artifacts/
# .NET Core
project.lock.json
project.fragment.lock.json
artifacts/
# StyleCop
StyleCopReport.xml
# Files built by Visual Studio
*_i.c
*_p.c
*_h.h
*.ilk
*.meta
*.obj
*.iobj
*.pch
*.pdb
*.ipdb
*.pgc
*.pgd
*.rsp
*.sbr
*.tlb
*.tli
*.tlh
*.tmp
*.tmp_proj
*_wpftmp.csproj
*.log
*.vspscc
*.vssscc
.builds
*.pidb
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# because we have git ;-)
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# End of https://www.toptal.com/developers/gitignore/api/git,visualstudio
+31
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@@ -0,0 +1,31 @@
<Project>
<PropertyGroup>
<TargetFramework>netstandard2.0</TargetFramework>
<PreserveCompilationContext>true</PreserveCompilationContext>
<LangVersion>14</LangVersion>
<ImplicitUsings>enable</ImplicitUsings>
<Nullable>enable</Nullable>
<NoWarn>CA1822</NoWarn>
<ProjectName>MaigoLabs.NeedLe</ProjectName>
<VSTestLogger>console%3Bverbosity=detailed</VSTestLogger>
</PropertyGroup>
<PropertyGroup>
<IsPackable>false</IsPackable>
<Version>1.0.0</Version>
<Authors>Menci</Authors>
<Description>Fuzzy search engine for small text pieces, with Chinese/Japanese pronunciation support</Description>
<PackageLicenseExpression>AGPL-3.0-only</PackageLicenseExpression>
<RepositoryUrl>https://github.com/MaigoLabs/needLe</RepositoryUrl>
<RepositoryType>git</RepositoryType>
<PackageProjectUrl>https://github.com/MaigoLabs/needLe</PackageProjectUrl>
<PackageTags>search;fuzzy;cjk;chinese;japanese;pinyin;romaji</PackageTags>
<PackageReadmeFile>README.md</PackageReadmeFile>
</PropertyGroup>
<ItemGroup>
<None Include="..\README.md" Pack="true" PackagePath="\" />
</ItemGroup>
</Project>
+19
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@@ -0,0 +1,19 @@
<Project>
<PropertyGroup>
<ManagePackageVersionsCentrally>true</ManagePackageVersionsCentrally>
</PropertyGroup>
<ItemGroup>
<PackageVersion Include="Microsoft.NET.Test.Sdk" Version="18.0.1" />
<PackageVersion Include="coverlet.collector" Version="6.0.4" />
<PackageVersion Include="xunit" Version="2.9.3" />
<PackageVersion Include="xunit.runner.visualstudio" Version="3.1.5" />
</ItemGroup>
<ItemGroup>
<PackageVersion Include="DotNetCampus.LatestCSharpFeatures" Version="13.0.1" />
<PackageVersion Include="hyjiacan.pinyin4net" Version="4.1.1" />
<PackageVersion Include="MeCab.DotNet" Version="1.2.0" />
<PackageVersion Include="MyNihongo.KanaConverter" Version="1.0.5" />
<PackageVersion Include="OpenccNetLib" Version="1.4.0" />
<PackageVersion Include="Telegram.Bot" Version="22.5.0" />
</ItemGroup>
</Project>
@@ -0,0 +1,45 @@
namespace MaigoLabs.NeedLe.Common;
// This is for global normalization for any input and documents.
public static class CommonNormalization
{
public static int NormalizeCodePoint(int codePoint)
{
// Fullwidth ASCII -> Halfwidth ASCII
if (codePoint >= 0xFF01 && codePoint <= 0xFF5E) return ToLowerCaseAscii(codePoint - 0xFEE0);
// Fullwidth space -> Halfwidth space
else if (codePoint == /* ' ' */ 0x3000) return ' ';
// Halfwidth kana (U+FF66 - U+FF9D) -> Fullwidth kana
else if (codePoint >= 0xFF66 && codePoint <= 0xFF9D) return HALF_TO_FULL_KANA.TryGetValue(codePoint, out var value) ? value : codePoint;
else if (codePoint == /* '。' */ 0xFF61) return '。';
else if (codePoint == /* '「' */ 0xFF62) return '「';
else if (codePoint == /* '」' */ 0xFF63) return '」';
else if (codePoint == /* '、' */ 0xFF64) return '、';
else if (codePoint == /* '・' */ 0xFF65) return '・';
else if (codePoint == /* '゙' */ 0xFF9E || codePoint == /* '゛' */ 0x309B) return 0x3099; // -> COMBINING KATAKANA-HIRAGANA VOICED SOUND MARK
else if (codePoint == /* '゚' */ 0xFF9F || codePoint == /* '゜' */ 0x309C) return 0x309A; // -> COMBINING KATAKANA-HIRAGANA SEMI-VOICED SOUND MARK
else return ToLowerCaseAscii(codePoint);
}
private static readonly Dictionary<int, int> HALF_TO_FULL_KANA = new Dictionary<int, int> {
['ヲ'] = 'ヲ', ['ァ'] = 'ァ', ['ィ'] = 'ィ', ['ゥ'] = 'ゥ', ['ェ'] = 'ェ', ['ォ'] = 'ォ',
['ャ'] = 'ャ', ['ュ'] = 'ュ', ['ョ'] = 'ョ', ['ッ'] = 'ッ',
['ー'] = 'ー',
['ア'] = 'ア', ['イ'] = 'イ', ['ウ'] = 'ウ', ['エ'] = 'エ', ['オ'] = 'オ',
['カ'] = 'カ', ['キ'] = 'キ', ['ク'] = 'ク', ['ケ'] = 'ケ', ['コ'] = 'コ',
['サ'] = 'サ', ['シ'] = 'シ', ['ス'] = 'ス', ['セ'] = 'セ', ['ソ'] = 'ソ',
['タ'] = 'タ', ['チ'] = 'チ', ['ツ'] = 'ツ', ['テ'] = 'テ', ['ト'] = 'ト',
['ナ'] = 'ナ', ['ニ'] = 'ニ', ['ヌ'] = 'ヌ', ['ネ'] = 'ネ', ['ノ'] = '',
['ハ'] = 'ハ', ['ヒ'] = 'ヒ', ['フ'] = 'フ', ['ヘ'] = 'ヘ', ['ホ'] = 'ホ',
['マ'] = 'マ', ['ミ'] = 'ミ', ['ム'] = 'ム', ['メ'] = 'メ', ['モ'] = 'モ',
['ヤ'] = 'ヤ', ['ユ'] = 'ユ', ['ヨ'] = 'ヨ',
['ラ'] = 'ラ', ['リ'] = 'リ', ['ル'] = 'ル', ['レ'] = 'レ', ['ロ'] = 'ロ',
['ワ'] = 'ワ', ['ン'] = 'ン',
};
public static int ToLowerCaseAscii(int codePoint) => codePoint >= 0x41 && codePoint <= 0x5A ? codePoint + 0x20 : codePoint;
public static bool IsHiraganaRange(int codePoint) => (codePoint >= 0x3041 && codePoint <= 0x3096) || (codePoint >= 0x309D && codePoint <= 0x309E);
public static int ToKatakana(int codePoint) => IsHiraganaRange(codePoint) ? codePoint + 0x60 : codePoint;
public static string ToKatakana(string text) => string.Concat(text.Select(c => (char)ToKatakana(c)));
}
@@ -0,0 +1,21 @@
namespace MaigoLabs.NeedLe.Common;
public static class CommonUtils
{
public static bool IsWhitespace(int codePoint) =>
codePoint == 0x0009 /* \t */ ||
codePoint == 0x000A /* \n */ ||
codePoint == 0x000B /* Vertical Tab */ ||
codePoint == 0x000C /* \f */ ||
codePoint == 0x000D /* \r */ ||
codePoint == 0x0020 /* Space */ ||
codePoint == 0x0085 /* Next Line (NEL) */ ||
codePoint == 0x00A0 /* No-Break Space */ ||
codePoint == 0x1680 /* Ogham Space Mark */ ||
codePoint >= 0x2000 && codePoint <= 0x200A ||
codePoint == 0x2028 /* Line Separator */ ||
codePoint == 0x2029 /* Paragraph Separator */ ||
codePoint == 0x202F /* Narrow No-Break Space */ ||
codePoint == 0x205F /* Medium Mathematical Space */ ||
codePoint == 0x3000 /* Ideographic Space */;
}
@@ -0,0 +1,25 @@
using System.Text;
namespace MaigoLabs.NeedLe.Common.Extensions;
public static class UnicodeExtensions
{
public static IEnumerable<int> ToCodePoints(this string s)
{
for (int i = 0; i < s.Length; i++)
{
int codePoint = char.ConvertToUtf32(s, i);
if (codePoint > 0xffff) i++;
yield return codePoint;
}
}
public static StringBuilder ToUtf32StringBuilder(this IEnumerable<int> codePoints)
{
var sb = new StringBuilder();
foreach (var codePoint in codePoints) sb.Append(char.ConvertFromUtf32(codePoint));
return sb;
}
public static string ToUtf32String(this IEnumerable<int> codePoints) => ToUtf32StringBuilder(codePoints).ToString();
}
@@ -0,0 +1,19 @@
<Project Sdk="Microsoft.NET.Sdk">
<PropertyGroup>
<TargetFramework>netstandard2.0</TargetFramework>
<OutputType>Library</OutputType>
<RootNamespace>$(ProjectName).Common</RootNamespace>
<AssemblyName>$(RootNamespace)</AssemblyName>
</PropertyGroup>
<PropertyGroup>
<IsPackable>true</IsPackable>
<PackageId>$(RootNamespace)</PackageId>
</PropertyGroup>
<ItemGroup>
<PackageReference Include="DotNetCampus.LatestCSharpFeatures" PrivateAssets="all" />
</ItemGroup>
</Project>
+33
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@@ -0,0 +1,33 @@
namespace MaigoLabs.NeedLe.Common;
public class TrieNode
{
public required TrieNode? Parent { get; set; }
public required Dictionary<int, TrieNode> Children { get; set; } // Unicode code point -> child node
public required List<int> TokenIds { get; set; }
public required List<int> SubTreeTokenIds { get; set; } // Empty on root.
}
public static class TrieNodeExtensions
{
public static TrieNode? TraverseStep(this TrieNode? node, int codePoint, bool isIgnorable = false) =>
(node?.Children.TryGetValue(codePoint, out var child) ?? false)
? child
: isIgnorable ? node : null;
public static TrieNode? Traverse(this TrieNode? node, int[] codePoints, bool isIgnorable = false)
{
if (node == null) return null;
foreach (var codePoint in codePoints)
{
node = node?.TraverseStep(codePoint, isIgnorable);
if (node == null) return null;
}
return node;
}
public static List<int> GetTokenIds(this TrieNode? node, bool includeSubTree = false) =>
(includeSubTree ? node?.SubTreeTokenIds : node?.TokenIds) ?? [];
public static bool IsTokenExactMatch(this TrieNode? node, int tokenId) => node?.TokenIds.Contains(tokenId) ?? false;
}
@@ -0,0 +1,20 @@
namespace MaigoLabs.NeedLe.Common.Types;
#pragma warning disable IDE1006 // Naming rule violation
// For compatibility with TypeScript, we use camelCase property names here.
public class CompressedInvertedIndex
{
public required string[] documents { get; set; }
public required int[] tokenTypes { get; set; } // Use int values here instead of TokenType enum to avoid JSON serialization issues.
public required List<int[]>[] tokenReferences { get; set; } // tokenId -> [documentId, start1, end1, start2, end2, ...]
public required CompressedInvertedIndexTries tries { get; set; }
}
public class CompressedInvertedIndexTries
{
public required int[] romaji { get; set; }
public required int[] kana { get; set; }
public required int[] other { get; set; }
}
@@ -0,0 +1,9 @@
namespace MaigoLabs.NeedLe.Common.Types;
public class OffsetSpan
{
public required int Start { get; init; }
public required int End { get; init; }
public int Length => End - Start;
}
@@ -0,0 +1,9 @@
namespace MaigoLabs.NeedLe.Common.Types;
public class TokenDefinition
{
public required int Id { get; set; }
public required TokenType Type { get; set; }
public required string Text { get; set; }
public required int CodePointLength { get; set; }
}
@@ -0,0 +1,10 @@
namespace MaigoLabs.NeedLe.Common.Types;
public enum TokenType
{
Raw,
Kana,
Romaji,
Han,
Pinyin,
}
@@ -0,0 +1,80 @@
using MaigoLabs.NeedLe.Common.Extensions;
using OpenccNetLib;
namespace MaigoLabs.NeedLe.Indexer.Han;
public class HanVariantProvider
{
private readonly Dictionary<int, int[]> EXCHANGE_MAP;
public HanVariantProvider(DictWithMaxLength[]? dicts = null)
{
dicts ??=
[
DictionaryLib.Provider.hk_variants,
DictionaryLib.Provider.hk_variants_rev,
DictionaryLib.Provider.jp_variants,
DictionaryLib.Provider.jp_variants_rev,
DictionaryLib.Provider.st_characters,
DictionaryLib.Provider.ts_characters,
DictionaryLib.Provider.tw_variants,
DictionaryLib.Provider.tw_variants_rev,
];
EXCHANGE_MAP = BuildHanExchangeMap(dicts);
}
private Dictionary<int, int[]> BuildHanExchangeMap(DictWithMaxLength[] dicts)
{
var unionFindSet = new UnionFindSet();
foreach (var dict in dicts) foreach (var item in dict.Dict)
{
var from = item.Key.ToCodePoints().ToArray();
var to = item.Value.ToCodePoints().ToArray();
if (from.Length != 1 || to.Length != 1) continue;
unionFindSet.Union(from[0], to[0]);
}
var variants = new Dictionary<int, List<int>>();
foreach (var x in unionFindSet.Keys)
{
var parent = unionFindSet.Find(x);
if (!variants.TryGetValue(parent, out var list)) variants[parent] = list = [];
if (x != parent) variants[x] = list;
list.Add(x);
}
return variants.ToDictionary(item => item.Key, item => item.Value.OrderBy(x => x).ToArray());
}
// https://github.com/google/re2/blob/e7aec5985072c1dbe735add802653ef4b36c231a/re2/unicode_groups.cc#L5590-L5615
private static readonly (int Min, int Max)[] RE2_SCRIPT_HAN_RENAGES =
[
// Han_range16
(11904, 11929),
(11931, 12019),
(12032, 12245),
(12293, 12293),
(12295, 12295),
(12321, 12329),
(12344, 12347),
(13312, 19903),
(19968, 40959),
(63744, 64109),
(64112, 64217),
// Han_range32
(94178, 94179),
(94192, 94193),
(131072, 173791),
(173824, 177977),
(177984, 178205),
(178208, 183969),
(183984, 191456),
(191472, 192093),
(194560, 195101),
(196608, 201546),
(201552, 205743),
];
public static bool IsHanCharacter(int codePoint) => RE2_SCRIPT_HAN_RENAGES.Any(range => codePoint >= range.Min && codePoint <= range.Max);
public int[] GetHanVariants(int codePoint) => EXCHANGE_MAP.TryGetValue(codePoint, out var variants)
? variants
: IsHanCharacter(codePoint) ? [codePoint] : [];
}
@@ -0,0 +1,19 @@
using hyjiacan.py4n;
namespace MaigoLabs.NeedLe.Indexer.Han;
public static class PinyinHelper
{
private static readonly string[] PINYIN_INITIALS = ["b", "p", "m", "f", "d", "t", "n", "l", "g", "k", "h", "j", "q", "x", "zh", "ch", "sh", "r", "z", "c", "s", "y", "w"];
private static readonly Dictionary<string, string> PINYIN_FINALS_FUZZY_MAP = new() { ["ang"] = "an", ["eng"] = "en", ["ing"] = "in" };
public static IEnumerable<string> GetPinyinCandidates(int codePoint) => codePoint < char.MinValue || codePoint > char.MaxValue || !PinyinUtil.IsHanzi((char)codePoint) ? [] :
Pinyin4Net.GetPinyin((char)codePoint, PinyinFormat.LOWERCASE | PinyinFormat.WITHOUT_TONE).Where(pinyin => pinyin.Length > 0).SelectMany(pinyin =>
{
var initial = PINYIN_INITIALS.FirstOrDefault(initial => pinyin.StartsWith(initial));
var initialAlphabet = initial != null ? initial[..1] : pinyin[..1];
var fuzzySuffix = pinyin.Length < 3 ? null : pinyin[^3..];
var fuzzyPinyin = fuzzySuffix != null && PINYIN_FINALS_FUZZY_MAP.TryGetValue(fuzzySuffix, out var fuzzySuffixTarget) ? pinyin[..^3] + fuzzySuffixTarget : null;
return new string?[] { pinyin, initial, initialAlphabet, fuzzyPinyin }.OfType<string>();
}).Distinct();
}
@@ -0,0 +1,33 @@
namespace MaigoLabs.NeedLe.Indexer.Han;
public class UnionFindSet
{
private Dictionary<int, int> Parent { get; set; } = [];
private Dictionary<int, int> Rank { get; set; } = [];
public IEnumerable<int> Keys => Parent.Keys;
public int Find(int x)
{
if (!Parent.TryGetValue(x, out var parent)) return Parent[x] = x;
else if (x == parent) return x;
else return Parent[x] = Find(parent);
}
public void Union(int x, int y)
{
x = Find(x);
y = Find(y);
if (x == y) return;
int rankX = GetRank(x), rankY = GetRank(y);
if (rankX < rankY) Parent[x] = y;
else if (rankX > rankY) Parent[y] = x;
else
{
Parent[y] = x;
Rank[x] = rankX + 1;
}
}
private int GetRank(int x) => !Rank.TryGetValue(x, out var rank) ? 0 : rank;
}
@@ -0,0 +1,57 @@
using MaigoLabs.NeedLe.Common;
using MaigoLabs.NeedLe.Common.Extensions;
using MaigoLabs.NeedLe.Common.Types;
using MaigoLabs.NeedLe.Indexer.Japanese;
using MaigoLabs.NeedLe.Indexer.Trie;
namespace MaigoLabs.NeedLe.Indexer;
public static class InvertedIndexBuilder
{
private static TrieNode BuildTypedTrie(IEnumerable<TokenDefinition> tokenDefinitions, Func<TokenType, bool> typePredicate) =>
TrieBuilder.BuildTrie(tokenDefinitions
.Where(token => typePredicate(token.Type))
.Select(token => (token.Id, CodePoints: token.Text.ToCodePoints())));
public static CompressedInvertedIndex BuildInvertedIndex(string[] documents, TokenizerOptions? tokenizerOptions = null)
{
var tokenizer = new Tokenizer(tokenizerOptions);
var documentTokens = documents.Select(tokenizer.Tokenize).ToArray();
var tokenDefinitions = tokenizer.Tokens.Values;
var romajiRoot = BuildTypedTrie(tokenDefinitions, type => type == TokenType.Romaji);
var kanaRoot = BuildTypedTrie(tokenDefinitions, type => type == TokenType.Kana);
var otherRoot = BuildTypedTrie(tokenDefinitions, type => type != TokenType.Romaji && type != TokenType.Kana);
TrieBuilder.GraftTriePaths(romajiRoot, JapaneseNormalization.NORMALIZE_RULES_ROMAJI_CODEPOINTS);
TrieBuilder.GraftTriePaths(kanaRoot, JapaneseNormalization.NORMALIZE_RULES_KANA_DAKUTEN_CODEPOINTS);
var invertedIndex = new CompressedInvertedIndex
{
documents = documents,
tokenTypes = [.. tokenDefinitions.Select(token => (int)token.Type)],
tokenReferences = [.. tokenDefinitions.Select(_ => new List<int[]>())],
tries = new CompressedInvertedIndexTries
{
romaji = TrieSerializer.Serialize(romajiRoot),
kana = TrieSerializer.Serialize(kanaRoot),
other = TrieSerializer.Serialize(otherRoot),
},
};
for (var documentId = 0; documentId < documents.Length; documentId++)
{
var tokens = documentTokens[documentId];
var tokenOccurrences = new Dictionary<int, List<int>>();
foreach (var token in tokens)
{
if (!tokenOccurrences.TryGetValue(token.Id, out var occurrences)) tokenOccurrences[token.Id] = occurrences = [];
occurrences.Add(token.Start);
occurrences.Add(token.End);
}
foreach (var (tokenId, occurrences) in tokenOccurrences)
{
invertedIndex.tokenReferences[tokenId].Add([documentId, .. occurrences]);
}
}
return invertedIndex;
}
}
@@ -0,0 +1,69 @@
using MaigoLabs.NeedLe.Common.Extensions;
namespace MaigoLabs.NeedLe.Indexer.Japanese;
public static class JapaneseNormalization
{
public delegate string Normalizer(string text);
public static Normalizer CreateNormalizer(Dictionary<string, string> rules) => text =>
{
while (true)
{
var beforeCurrentIteration = text;
foreach (var (from, to) in rules) text = text.Replace(from, to);
if (text == beforeCurrentIteration) break;
}
return text;
};
public static IEnumerable<(int[] From, int[] To)> ToCodePointPairs(Dictionary<string, string> rules) =>
rules.Select(rule => (From: rule.Key.ToCodePoints().ToArray(), To: rule.Value.ToCodePoints().ToArray()));
public static readonly Dictionary<string, string> NORMALIZE_RULES_ROMAJI = new()
{
// Remove all long vowels (sa-ba- -> saba)
["-"] = "",
// Collapse consecutive vowels
["aa"] = "a",
["ii"] = "i",
["uu"] = "u",
["ee"] = "e",
["oo"] = "o",
["ou"] = "o",
// mb/mp/mm -> nb/np/nm (shimbun -> shinbun)
["mb"] = "nb",
["mp"] = "np",
["mm"] = "nm",
// Others
["sha"] = "sya",
["tsu"] = "tu",
["chi"] = "ti",
["shi"] = "si",
["ji"] = "zi",
};
public static readonly IEnumerable<(int[] From, int[] To)> NORMALIZE_RULES_ROMAJI_CODEPOINTS = ToCodePointPairs(NORMALIZE_RULES_ROMAJI);
public static readonly Normalizer NormalizeRomaji = CreateNormalizer(NORMALIZE_RULES_ROMAJI);
public static readonly Dictionary<string, string> NORMALIZE_RULES_KANA_DAKUTEN = new()
{
["う\u3099"] = "ゔ",
["か\u3099"] = "が", ["き\u3099"] = "ぎ", ["く\u3099"] = "ぐ", ["け\u3099"] = "げ", ["こ\u3099"] = "ご",
["さ\u3099"] = "ざ", ["し\u3099"] = "じ", ["す\u3099"] = "ず", ["せ\u3099"] = "ぜ", ["そ\u3099"] = "ぞ",
["た\u3099"] = "だ", ["ち\u3099"] = "ぢ", ["つ\u3099"] = "づ", ["て\u3099"] = "で", ["と\u3099"] = "ど",
["は\u3099"] = "ば", ["ひ\u3099"] = "び", ["ふ\u3099"] = "ぶ", ["へ\u3099"] = "べ", ["ほ\u3099"] = "ぼ",
["は\u309A"] = "ぱ", ["ひ\u309A"] = "ぴ", ["ふ\u309A"] = "ぷ", ["へ\u309A"] = "ぺ", ["ほ\u309A"] = "ぽ",
["ゝ\u3099"] = "ゞ",
["ウ\u3099"] = "ヴ",
["カ\u3099"] = "ガ", ["キ\u3099"] = "ギ", ["ク\u3099"] = "グ", ["ケ\u3099"] = "ゲ", ["コ\u3099"] = "ゴ",
["サ\u3099"] = "ザ", ["シ\u3099"] = "ジ", ["ス\u3099"] = "ズ", ["セ\u3099"] = "ゼ", ["ソ\u3099"] = "ゾ",
["タ\u3099"] = "ダ", ["チ\u3099"] = "ヂ", ["ツ\u3099"] = "ヅ", ["テ\u3099"] = "デ", ["ト\u3099"] = "ド",
["ハ\u3099"] = "バ", ["ヒ\u3099"] = "ビ", ["フ\u3099"] = "ブ", ["ヘ\u3099"] = "ベ", ["ホ\u3099"] = "ボ",
["ハ\u309A"] = "パ", ["ヒ\u309A"] = "ピ", ["フ\u309A"] = "プ", ["ヘ\u309A"] = "ペ", ["ホ\u309A"] = "ポ",
["ワ\u3099"] = "ヷ", ["ヰ\u3099"] = "ヸ", ["ヱ\u3099"] = "ヹ", ["ヲ\u3099"] = "ヺ",
["ヽ\u3099"] = "ヾ",
};
public static readonly IEnumerable<(int[] From, int[] To)> NORMALIZE_RULES_KANA_DAKUTEN_CODEPOINTS = ToCodePointPairs(NORMALIZE_RULES_KANA_DAKUTEN);
public static readonly Normalizer NormalizeKanaDakuten = CreateNormalizer(NORMALIZE_RULES_KANA_DAKUTEN);
}
@@ -0,0 +1,52 @@
using MaigoLabs.NeedLe.Indexer.Han;
using MyNihongo.KanaConverter;
namespace MaigoLabs.NeedLe.Indexer.Japanese;
public static class JapaneseUtils
{
public static bool IsMaybeJapanese(int codePoint) =>
HanVariantProvider.IsHanCharacter(codePoint) ||
IsKana(codePoint) ||
IsJapaneseSoundMark(codePoint) ||
codePoint == 0x3005 || codePoint == 0x3006 || codePoint == 0x30FC;
// See also Common/Normalization.cs
public static bool IsJapaneseSoundMark(int codePoint) => codePoint == 0x3099 || codePoint == 0x309A;
public static string StripJapaneseSoundMarks(string text) => string.Concat(text.Where(codePoint => !IsJapaneseSoundMark(codePoint)));
public static bool IsKana(int codePoint) => (codePoint >= 0x3041 && codePoint <= 0x309F) || (codePoint >= 0x30A0 && codePoint <= 0x30FF);
private static readonly int[] KANAS_CANNOT_BE_FIRST =
[
'ァ', 'ィ', 'ゥ', 'ェ', 'ォ',
'ぁ', 'ぃ', 'ぅ', 'ぇ', 'ぉ',
'ャ', 'ュ', 'ョ',
'ゃ', 'ゅ', 'ょ',
'ヮ', 'ゎ',
'ㇰ', 'ㇱ', 'ㇲ', 'ㇳ', 'ㇴ', 'ㇵ', 'ㇶ', 'ㇷ', 'ㇸ', 'ㇹ', 'ㇺ', 'ㇻ', 'ㇼ', 'ㇽ', 'ㇾ', 'ㇿ',
'ー',
];
private static readonly int[] KANAS_CANNOT_BE_LAST =
[
'ッ', 'っ'
];
public static string ToRomajiStrictly(string kanaText)
{
if (kanaText.Length == 0) return "";
if (KANAS_CANNOT_BE_FIRST.Contains(kanaText[0])) return "";
if (KANAS_CANNOT_BE_LAST.Contains(kanaText[^1])) return "";
string romaji;
try { romaji = kanaText.ToRomaji(); }
catch { return ""; }
if (!romaji.All(c => c is >= 'a' and <= 'z')) return "";
return romaji;
}
public static bool IsValidJapanesePhrase(ReadOnlySpan<int> codePoints, int start, int length) =>
// Skip splittings that cause sound marks to occur in the first position of a phrase
!IsJapaneseSoundMark(codePoints[start]) && (start + length == codePoints.Length || !IsJapaneseSoundMark(codePoints[start + length]));
public static bool IsValidJapanesePhrase(ReadOnlyMemory<int> codePoints, int start, int length) => IsValidJapanesePhrase(codePoints.Span, start, length);
}
@@ -0,0 +1,105 @@
using System.Runtime.InteropServices;
using MaigoLabs.NeedLe.Common;
using MaigoLabs.NeedLe.Common.Extensions;
using MeCab;
using MeCab.Core;
namespace MaigoLabs.NeedLe.Indexer.Japanese;
public class Transcription
{
public required int Start { get; set; }
public required int Length { get; set; }
public required string[] Transcriptions { get; set; }
}
public delegate IEnumerable<Transcription> TranscriptionEnumerator(ReadOnlyMemory<int> codePoints);
public delegate bool IsValidPhraseDelegate(ReadOnlyMemory<int> codePoints, int start, int length);
public delegate HashSet<string> GetAllTranscriptionsDelegate(string phrase);
public class TranscriptionProvider
{
public MeCabDictionary[] Dictionaries { get; set; }
public TranscriptionProvider(MeCabDictionary[]? dictionaries = null)
{
if (dictionaries == null)
{
var param = new MeCabParam();
param.LoadDicRC();
var dictionary = new MeCabDictionary();
dictionary.Open(Path.Combine(param.DicDir, "sys.dic"));
dictionaries = [dictionary];
}
Dictionaries = dictionaries;
}
public static TranscriptionEnumerator CreateTranscriptionEnumerator(IsValidPhraseDelegate isValidPhrase, GetAllTranscriptionsDelegate getAllTranscriptions) => codePoints =>
{
var resultMap = new Dictionary<(int Start, int Length), Transcription>();
for (int phraseLength = 1; phraseLength <= codePoints.Length; phraseLength++) for (int start = 0; start + phraseLength <= codePoints.Length; start++)
{
if (!isValidPhrase(codePoints, start, phraseLength)) continue;
var phrase = MemoryMarshal.ToEnumerable(codePoints.Slice(start, phraseLength)).ToUtf32String();
var atomicTranscriptions = getAllTranscriptions(phrase).Where(transcription => transcription != null).Where(candidateTranscription =>
{
if (candidateTranscription.Length == 0) return false;
// Ensure the transcription is atomic (not a combination of multiple shorter transcriptions, separated by any midpoints)
var visitedStates = new HashSet<(int PhrasePosition, int TranscriptionPosition)>();
var queue = new Queue<(int PhrasePosition, int TranscriptionPosition)>();
queue.Enqueue((0, 0));
while (queue.Count > 0)
{
var (phrasePosition, transcriptionPosition) = queue.Dequeue();
for (int prefixLength = 1; prefixLength <= phraseLength - phrasePosition; prefixLength++)
{
if (!resultMap.TryGetValue((start + phrasePosition, prefixLength), out var prefixResult)) continue;
foreach (var transcription in prefixResult.Transcriptions) if (string.Compare(candidateTranscription, transcriptionPosition, transcription, 0, transcription.Length) == 0)
{
var nextState = (PhrasePosition: phrasePosition + prefixLength, TranscriptionPosition: transcriptionPosition + transcription.Length);
if (nextState.PhrasePosition == phraseLength && nextState.TranscriptionPosition == candidateTranscription.Length) return false; // Found a valid combination
if (visitedStates.Contains(nextState)) continue;
visitedStates.Add(nextState);
queue.Enqueue(nextState);
}
}
}
return true;
}).ToArray();
if (atomicTranscriptions.Length > 0) resultMap[(start, phraseLength)] = new() { Start = start, Length = phraseLength, Transcriptions = atomicTranscriptions };
}
return resultMap.Values;
};
public HashSet<string> GetAllKanaReadings(string phrase)
{
var result = new HashSet<string>();
var isKana = phrase.All(ch => JapaneseUtils.IsKana(ch));
if (isKana) result.Add(CommonNormalization.ToKatakana(phrase));
if (isKana && phrase.Length == 1) return result;
foreach (var dictionary in Dictionaries)
{
var searchResult = dictionary.ExactMatchSearch(phrase);
if (searchResult.Value == -1) continue;
var tokens = dictionary.GetToken(searchResult);
foreach (var token in tokens)
{
var feature = dictionary.GetFeature(token.Feature);
var parts = feature.Split(',');
if (parts.Length > 7) result.Add(CommonNormalization.ToKatakana(parts[7]));
}
}
return result;
}
public HashSet<string> GetAllKanaReadingsWithNormalization(string phrase) =>
GetAllKanaReadings(JapaneseUtils.StripJapaneseSoundMarks(JapaneseNormalization.NormalizeKanaDakuten(phrase)));
public TranscriptionEnumerator EnumerateKanaTranscriptions => CreateTranscriptionEnumerator(
JapaneseUtils.IsValidJapanesePhrase,
GetAllKanaReadingsWithNormalization);
public TranscriptionEnumerator EnumerateRomajiTranscriptions => CreateTranscriptionEnumerator(
JapaneseUtils.IsValidJapanesePhrase,
phrase => [.. GetAllKanaReadingsWithNormalization(phrase).Select(kana => JapaneseNormalization.NormalizeRomaji(JapaneseUtils.ToRomajiStrictly(kana)))]);
}
@@ -0,0 +1,29 @@
<Project Sdk="Microsoft.NET.Sdk">
<PropertyGroup>
<TargetFramework>netstandard2.0</TargetFramework>
<OutputType>Library</OutputType>
<RootNamespace>$(ProjectName).Indexer</RootNamespace>
<AssemblyName>$(RootNamespace)</AssemblyName>
</PropertyGroup>
<PropertyGroup>
<IsPackable>true</IsPackable>
<PackageId>$(RootNamespace)</PackageId>
<!-- Don't include MeCab dictionaries in this package; let MeCab.DotNet provide them to end users -->
<MeCabUseDefaultDictionary>False</MeCabUseDefaultDictionary>
</PropertyGroup>
<ItemGroup>
<ProjectReference Include="..\MaigoLabs.NeedLe.Common\MaigoLabs.NeedLe.Common.csproj" />
</ItemGroup>
<ItemGroup>
<PackageReference Include="DotNetCampus.LatestCSharpFeatures" PrivateAssets="all" />
<PackageReference Include="hyjiacan.pinyin4net" />
<PackageReference Include="MeCab.DotNet" PrivateAssets="analyzers" />
<PackageReference Include="MyNihongo.KanaConverter" />
<PackageReference Include="OpenccNetLib" PrivateAssets="analyzers" />
</ItemGroup>
</Project>
@@ -0,0 +1,104 @@
using MaigoLabs.NeedLe.Common;
using MaigoLabs.NeedLe.Common.Extensions;
using MaigoLabs.NeedLe.Common.Types;
using MaigoLabs.NeedLe.Indexer.Han;
using MaigoLabs.NeedLe.Indexer.Japanese;
namespace MaigoLabs.NeedLe.Indexer;
public class TokenizerOptions
{
public HanVariantProvider? HanVariantProvider { get; set; }
public TranscriptionProvider? TranscriptionProvider { get; set; }
}
public class Tokenizer(TokenizerOptions? options = null)
{
public HanVariantProvider HanVariantProvider { get; set; } = options?.HanVariantProvider ?? new HanVariantProvider();
public TranscriptionProvider TranscriptionProvider { get; set; } = options?.TranscriptionProvider ?? new TranscriptionProvider();
public class Token
{
public required int Id { get; set; }
public required int Start { get; set; }
public required int End { get; set; }
}
public Dictionary<(TokenType Type, string Text), TokenDefinition> Tokens { get; } = [];
private TokenDefinition EnsureToken(TokenType type, string text)
{
var key = (type, text);
if (Tokens.TryGetValue(key, out var tokenDefinition)) return tokenDefinition;
tokenDefinition = new TokenDefinition { Id = Tokens.Count, Type = type, Text = text, CodePointLength = text.ToCodePoints().Count() };
Tokens.Add(key, tokenDefinition);
return tokenDefinition;
}
public List<Token> Tokenize(string text)
{
var codePoints = text.ToCodePoints().Select(CommonNormalization.NormalizeCodePoint).ToArray();
var results = new List<Token>();
Action<TokenType /* tokenType */, string /* text */> Emitter(int start, int end) =>
(tokenType, codePoints) => results.Add(new Token { Id = EnsureToken(tokenType, codePoints).Id, Start = start, End = end });
void EmitMaybeJapanese(ReadOnlyMemory<int> codePoints, int offset)
{
foreach (var combination in TranscriptionProvider.EnumerateKanaTranscriptions(codePoints))
{
var emit = Emitter(offset + combination.Start, offset + combination.Start + combination.Length);
foreach (var transcription in combination.Transcriptions) emit(TokenType.Kana, transcription);
}
foreach (var combination in TranscriptionProvider.EnumerateRomajiTranscriptions(codePoints))
{
var emit = Emitter(offset + combination.Start, offset + combination.Start + combination.Length);
foreach (var transcription in combination.Transcriptions) emit(TokenType.Romaji, transcription);
}
for (int i = 0; i < codePoints.Length; i++)
{
// Single character may have not only kana readings, but also Chinese pronunciations or Simplified/Traditional/Japanese variants.
var hanAlternates = HanVariantProvider.GetHanVariants(codePoints.Span[i]); // All possible variant characters (Simplified/Traditional/Japanese)
var pinyinAlternates = hanAlternates.SelectMany(PinyinHelper.GetPinyinCandidates).Distinct();
var emit = Emitter(offset + i, offset + i + 1);
foreach (var han in hanAlternates) emit(TokenType.Han, char.ConvertFromUtf32(han));
foreach (var pinyin in pinyinAlternates) emit(TokenType.Pinyin, pinyin);
}
}
var consequentCharsets = new (Func<int, bool> Is, Action<ReadOnlyMemory<int>, int> Emit)[]
{
(Is: JapaneseUtils.IsMaybeJapanese, Emit: EmitMaybeJapanese),
};
void EmitRaw(int codePoint, int offset) => Emitter(offset, offset + 1)(TokenType.Raw, char.ConvertFromUtf32(codePoint));
for (int start = 0; start < codePoints.Length; )
{
var codePoint = codePoints[start];
var emitted = false;
foreach (var (Is, Emit) in consequentCharsets)
{
var length = 0;
while (start + length < codePoints.Length && Is(codePoints[start + length])) length++;
if (length > 0)
{
Emit(new Memory<int>(codePoints, start, length), start);
start += length;
emitted = true;
break;
}
}
if (emitted) continue;
// Skip whitespaces
if (CommonUtils.IsWhitespace(codePoint))
{
start++;
continue;
}
EmitRaw(codePoint, start);
start++;
}
return results;
}
}
@@ -0,0 +1,93 @@
using MaigoLabs.NeedLe.Common;
namespace MaigoLabs.NeedLe.Indexer.Trie;
public static class TrieBuilder
{
private static TrieNode NewNode(TrieNode? parent) => new() { Parent = parent, Children = [], TokenIds = [], SubTreeTokenIds = [] };
public static TrieNode BuildTrie(IEnumerable<(int Id, IEnumerable<int> CodePoints)> tokens)
{
var root = NewNode(null);
foreach (var (id, codePoints) in tokens)
{
var node = root;
foreach (var codePoint in codePoints)
{
node.Children.TryGetValue(codePoint, out var childNode);
if (childNode == null) node.Children[codePoint] = childNode = NewNode(node);
node = childNode;
node.SubTreeTokenIds.Add(id);
}
node.TokenIds.Add(id);
}
return root;
}
public static void GraftTriePaths(TrieNode root, IEnumerable<(int[] From, int[] To)> rules)
{
foreach (var (inputPhrase, graftTo) in rules) if (graftTo.Length > inputPhrase.Length) throw new ArgumentException($"Graft rule {inputPhrase} -> {graftTo} maps to longer string and may cause infinite loop");
var visitedNodes = new HashSet<TrieNode>();
void GraftFromNode(TrieNode node, bool recursiveChildren)
{
if (!visitedNodes.Add(node)) return;
if (recursiveChildren) foreach (var child in node.Children.Values) GraftFromNode(child, true);
while (true)
{
var nodesWithNewGraftedChildren = new Dictionary<TrieNode, /* depth from initial node */ int>();
foreach (var (inputPhrase, graftTo) in rules)
{
var targetNode = node.Traverse(graftTo);
if (targetNode == null) continue;
var graftedPath = new TrieNode[inputPhrase.Length - 1];
var isGrafted = false;
var currentNode = node;
for (var i = 0; i < inputPhrase.Length; i++)
{
var codePoint = inputPhrase[i];
currentNode.Children.TryGetValue(codePoint, out var childNode);
if (i == inputPhrase.Length - 1)
{
if (childNode != null)
{
if (childNode != targetNode) throw new ArgumentException($"Grafted path {inputPhrase} conflicts with existing path");
// Already grafted
}
else
{
currentNode.Children[codePoint] = childNode = targetNode;
isGrafted = true;
}
}
else
{
if (childNode == null)
{
childNode = NewNode(currentNode);
childNode.SubTreeTokenIds = targetNode.SubTreeTokenIds;
currentNode.Children[codePoint] = childNode;
}
else
{
// Part of another grafted path?
childNode.SubTreeTokenIds = new HashSet<int>(childNode.SubTreeTokenIds.Concat(targetNode.SubTreeTokenIds)).ToList();
}
graftedPath[i] = currentNode = childNode;
}
}
if (isGrafted) for (var i = 0; i < graftedPath.Length; i++) nodesWithNewGraftedChildren[graftedPath[i]!] = i + 1;
}
if (nodesWithNewGraftedChildren.Count > 0)
{
// Re-check graft rules on the newly grafted path
// 1. No need to recursive other children (not on this path) since their children are not affected
// 2. No need to consider ancestors of this node since they're handled later (we run in DFS order)
var sortedNodes = nodesWithNewGraftedChildren.OrderByDescending(x => x.Value);
foreach (var (changedNode, _) in sortedNodes) GraftFromNode(changedNode, false);
}
else break; // No new grafts applied
}
}
GraftFromNode(root, true);
}
}
@@ -0,0 +1,41 @@
using MaigoLabs.NeedLe.Common;
namespace MaigoLabs.NeedLe.Indexer.Trie;
public static class TrieSerializer
{
private class NodeEntry
{
public int Id { get; set; }
public bool Visited { get; set; }
public int[]? Data { get; set; }
}
public static int[] Serialize(TrieNode root)
{
var nodeEntries = new Dictionary<TrieNode, NodeEntry>();
var currentId = 0;
NodeEntry GetNodeEntry(TrieNode node) => nodeEntries.TryGetValue(node, out var nodeEntry) ? nodeEntry :
nodeEntries[node] = new NodeEntry { Id = ++currentId, Visited = false, Data = null };
int SerializeNode(TrieNode node)
{
var entry = GetNodeEntry(node);
if (entry.Visited) return entry.Id;
entry.Visited = true;
var children = node.Children.Select(child => (CodePoint: child.Key, ChildId: SerializeNode(child.Value))).ToArray();
entry.Data =
[
node.Parent != null ? GetNodeEntry(node.Parent).Id : 0,
.. children.Select(child => child.CodePoint),
.. children.Select(child => child.ChildId),
// End of children list (<= 0 are not valid code points nor node IDs)
.. node.TokenIds.Count > 0
? node.TokenIds.Select(tokenId => -(tokenId + 1)) // Use the negative value of (tokenId + 1)
: [0], // End of children list, no token IDs (token IDs are encoded to negative values)
];
return entry.Id;
}
SerializeNode(root);
return nodeEntries.Values.OrderBy(entry => entry.Id).SelectMany(entry => entry.Data ?? []).ToArray();
}
}
@@ -0,0 +1,18 @@
<Project Sdk="Microsoft.NET.Sdk">
<PropertyGroup>
<TargetFramework>net10.0</TargetFramework>
<OutputType>Exe</OutputType>
<RootNamespace>$(ProjectName).Playground</RootNamespace>
<AssemblyName>$(RootNamespace)</AssemblyName>
</PropertyGroup>
<ItemGroup>
<PackageReference Include="Telegram.Bot" />
</ItemGroup>
<ItemGroup>
<ProjectReference Include="..\MaigoLabs.NeedLe\MaigoLabs.NeedLe.csproj" />
</ItemGroup>
</Project>
@@ -0,0 +1,162 @@
using System.Diagnostics;
using System.Text.Encodings.Web;
using System.Text.Json;
using MaigoLabs.NeedLe.Common.Extensions;
using MaigoLabs.NeedLe.Indexer;
using MaigoLabs.NeedLe.Searcher;
using Telegram.Bot;
using Telegram.Bot.Polling;
using Telegram.Bot.Types;
using Telegram.Bot.Types.Enums;
namespace MaigoLabs.NeedLe.Playground;
public class Program
{
private static LoadedInvertedIndex _invertedIndex = null!;
private static long _targetChatId;
public static async Task Main(string[] args)
{
var botToken = Environment.GetEnvironmentVariable("TELEGRAM_BOT_TOKEN")
?? throw new InvalidOperationException("Missing environment variable TELEGRAM_BOT_TOKEN");
var targetChatIdStr = Environment.GetEnvironmentVariable("TARGET_CHAT_ID")
?? throw new InvalidOperationException("Missing environment variable TARGET_CHAT_ID");
_targetChatId = long.Parse(targetChatIdStr);
// Build inverted index
var exampleDocuments = File.ReadAllLines("../../example.txt").Where(line => line.Length > 0).ToArray();
var startBuild = Stopwatch.GetTimestamp();
var compressed = InvertedIndexBuilder.BuildInvertedIndex(exampleDocuments);
var endBuild = Stopwatch.GetTimestamp();
Console.WriteLine($"Built inverted index in {Stopwatch.GetElapsedTime(startBuild, endBuild).TotalMilliseconds}ms");
var startLoad = Stopwatch.GetTimestamp();
_invertedIndex = InvertedIndexLoader.Load(compressed);
var endLoad = Stopwatch.GetTimestamp();
Console.WriteLine($"Loaded inverted index in {Stopwatch.GetElapsedTime(startLoad, endLoad).TotalMilliseconds}ms");
// Start bot
var bot = new TelegramBotClient(botToken);
var me = await bot.GetMe();
Console.WriteLine($"Bot logged in as {me.FirstName} (@{me.Username})");
using var cts = new CancellationTokenSource();
Console.CancelKeyPress += (_, e) => { e.Cancel = true; cts.Cancel(); };
bot.StartReceiving(
updateHandler: HandleUpdateAsync,
errorHandler: HandleErrorAsync,
receiverOptions: new ReceiverOptions { AllowedUpdates = [UpdateType.Message] },
cancellationToken: cts.Token
);
await Task.Delay(-1, cts.Token).ContinueWith(_ => { });
}
private static async Task HandleUpdateAsync(ITelegramBotClient bot, Update update, CancellationToken ct)
{
if (update.Message is not { Text: { } text, Chat.Id: var chatId, From: { } from }) return;
Console.WriteLine($"{chatId}:{from.Id} {JsonSerializer.Serialize(text, JsonSerializerOptions)}");
if (chatId != _targetChatId) return;
if (text.StartsWith("/needle "))
{
var query = text["/needle ".Length..];
var response = HandleNeedleCommand(query);
await bot.SendMessage(chatId, response, parseMode: ParseMode.Html, cancellationToken: ct);
}
else if (text.StartsWith("/tokenize "))
{
var query = text["/tokenize ".Length..];
var response = HandleTokenizeCommand(query);
await bot.SendMessage(chatId, response, parseMode: ParseMode.Html, cancellationToken: ct);
}
}
private static Task HandleErrorAsync(ITelegramBotClient bot, Exception exception, HandleErrorSource source, CancellationToken ct)
{
Console.WriteLine($"Error: {exception.Message}");
return Task.CompletedTask;
}
private static string HandleNeedleCommand(string query)
{
var startSearch = Stopwatch.GetTimestamp();
var results = InvertedIndexSearcher.Search(_invertedIndex, query);
var endSearch = Stopwatch.GetTimestamp();
var searchDuration = Stopwatch.GetElapsedTime(startSearch, endSearch).TotalMilliseconds.ToString("F3");
if (results.Length == 0)
return Codify($"No results found after {searchDuration}ms");
var showingResults = results.Take(5).ToArray();
return string.Join('\n',
[
Codify($"Search completed in {searchDuration}ms, showing {showingResults.Length}/{results.Length} results:\n"),
.. showingResults.Select(result => InspectSearchResult(result, true))
]).TrimEnd();
}
private static string HandleTokenizeCommand(string query)
{
var tokenizer = new Tokenizer();
var startTokenize = Stopwatch.GetTimestamp();
var tokens = tokenizer.Tokenize(query);
var tokenDefinitions = tokenizer.Tokens.Values.ToArray();
var endTokenize = Stopwatch.GetTimestamp();
var tokenizeDuration = Stopwatch.GetElapsedTime(startTokenize, endTokenize).TotalMilliseconds.ToString("F3");
if (tokens.Count == 0) return Codify($"No tokens emitted after {tokenizeDuration}ms");
var codePoints = query.ToCodePoints().ToArray();
var lines = new List<string>
{
$"Tokenization completed in {tokenizeDuration}ms, emitted {tokens.Count} tokens:"
};
foreach (var token in tokens)
{
var tokenDef = tokenDefinitions[token.Id];
var originalPhrase = codePoints.Skip(token.Start).Take(token.End - token.Start).ToUtf32String();
lines.Add($" {tokenDef.Type}: {JsonSerializer.Serialize(tokenDef.Text, JsonSerializerOptions)} <- {JsonSerializer.Serialize(originalPhrase, JsonSerializerOptions)} [{token.Start}, {token.End}]");
}
return Codify(string.Join('\n', lines));
}
private static string InspectSearchResult(SearchResult result, bool htmlHighlight)
{
var documentText = result.DocumentText;
var documentCodePoints = result.DocumentCodePoints;
var tokens = result.Tokens;
var rangeCount = result.RangeCount;
var matchRatio = result.MatchRatio;
var matchRatioLevel = result.MatchRatioLevel;
var resultText = htmlHighlight
? string.Join("", SearchResultHighlighter.Highlight(result).Select(part => !part.IsHighlighted ? EscapeHtml(part.Text) : $"<u><b>{EscapeHtml(part.Text)}</b></u>"))
: documentText;
var description = $" ({rangeCount} ranges, {Math.Round(matchRatio * 10000) / 10000} => L{matchRatioLevel})";
return string.Join('\n',
[
resultText + (htmlHighlight ? $"<code>{description}</code>" : description),
.. tokens.Select(token =>
{
var escapedTokenText = JsonSerializer.Serialize(token.Definition.Text, JsonSerializerOptions);
var escapedDocumentText = JsonSerializer.Serialize(documentCodePoints.Skip(token.DocumentOffset.Start).Take(token.DocumentOffset.Length).ToUtf32String(), JsonSerializerOptions);
if (htmlHighlight)
{
escapedTokenText = EscapeHtml(escapedTokenText);
escapedDocumentText = EscapeHtml(escapedDocumentText);
}
var line = $" {token.Definition.Type}: {escapedTokenText} -> {escapedDocumentText}" + (token.IsTokenPrefixMatching ? " (prefix match)" : "");
return htmlHighlight ? $"<code>{line}</code>" : line;
}),
"",
]);
}
private static string Codify(string text) => $"<code>{EscapeHtml(text)}</code>";
private static JsonSerializerOptions JsonSerializerOptions => new() { Encoder = JavaScriptEncoder.UnsafeRelaxedJsonEscaping };
private static string EscapeHtml(string text) => text.Replace("&", "&amp;").Replace("<", "&lt;").Replace(">", "&gt;");
}
@@ -0,0 +1,72 @@
using MaigoLabs.NeedLe.Common;
using MaigoLabs.NeedLe.Common.Extensions;
using MaigoLabs.NeedLe.Common.Types;
using MaigoLabs.NeedLe.Searcher.Trie;
namespace MaigoLabs.NeedLe.Searcher;
public class LoadedInvertedIndex
{
public class TokenDocumentReference
{
public required int DocumentId { get; set; }
public required OffsetSpan[] Offsets { get; set; }
}
public class TokenDefinitionExtended : TokenDefinition
{
public required TokenDocumentReference[] References { get; set; }
}
public class TypedTries
{
public required TrieNode Romaji { get; set; }
public required TrieNode Kana { get; set; }
public required TrieNode Other { get; set; }
}
public required string[] Documents { get; set; }
public required int[][] DocumentCodePoints { get; set; }
public required TokenDefinitionExtended[] TokenDefinitions { get; set; }
public required TypedTries Tries { get; set; }
}
public class InvertedIndexLoader
{
public static LoadedInvertedIndex Load(CompressedInvertedIndex compressed)
{
var documents = compressed.documents;
var documentCodePoints = documents.Select(document => document.ToCodePoints().ToArray()).ToArray();
var romajiTrie = TrieDeserializer.Deserialize(compressed.tries.romaji);
var kanaTrie = TrieDeserializer.Deserialize(compressed.tries.kana);
var otherTrie = TrieDeserializer.Deserialize(compressed.tries.other);
var tokenCodePoints = romajiTrie.TokenCodePoints.Concat(kanaTrie.TokenCodePoints).Concat(otherTrie.TokenCodePoints)
.ToDictionary(entry => entry.Key, entry => entry.Value);
var tokenDefinitions = compressed.tokenTypes.Select((type, index) => new LoadedInvertedIndex.TokenDefinitionExtended
{
Id = index, Type = (TokenType)type, Text = tokenCodePoints[index].ToUtf32String(),
CodePointLength = tokenCodePoints[index].Length,
References = compressed.tokenReferences[index].Select(data => new LoadedInvertedIndex.TokenDocumentReference
{
DocumentId = data[0],
Offsets = Enumerable.Range(0, data.Length / 2)
.Select(i => new OffsetSpan { Start = data[i * 2 + 1], End = data[i * 2 + 2] }).ToArray(),
}).ToArray(),
}).ToArray();
return new LoadedInvertedIndex
{
Documents = documents,
DocumentCodePoints = documentCodePoints,
TokenDefinitions = tokenDefinitions,
Tries = new LoadedInvertedIndex.TypedTries
{
Romaji = romajiTrie.Root,
Kana = kanaTrie.Root,
Other = otherTrie.Root,
},
};
}
}
@@ -0,0 +1,270 @@
using MaigoLabs.NeedLe.Common;
using MaigoLabs.NeedLe.Common.Extensions;
using MaigoLabs.NeedLe.Common.Types;
namespace MaigoLabs.NeedLe.Searcher;
public class SearchResultToken
{
public required TokenDefinition Definition { get; set; }
public required OffsetSpan DocumentOffset { get; set; }
public required OffsetSpan InputOffset { get; set; }
public required bool IsTokenPrefixMatching { get; set; }
}
public class SearchResult
{
public required int DocumentId { get; set; }
public required string DocumentText { get; set; }
public required int[] DocumentCodePoints { get; set; }
public required SearchResultToken[] Tokens { get; set; }
public required int PrefixMatchCount { get; set; }
public required int RangeCount { get; set; }
public required double MatchRatio { get; set; }
public required int MatchRatioLevel { get; set; }
}
public static class InvertedIndexSearcher
{
public abstract class ComparableStateBase<T> : IComparable<T>
where T : ComparableStateBase<T>
{
protected abstract int GetRangeCount();
protected abstract int GetPrefixMatchCount();
protected abstract OffsetSpan GetFirstTokenDocumentOffset();
protected abstract OffsetSpan GetLastTokenDocumentOffset();
protected virtual SearchResultToken? GetLastToken() => null; // Not on intermediate results
protected virtual int? GetMatchRatioLevel() => null; // Not on intermediate/candidate results
protected abstract double GetMatchRatio();
protected virtual int FallbackCompareTo(T other) => 0; // Called when all other comparisons are equal
public int CompareTo(T other)
{
// Prefer matches that not relying on end-of-input loose matching (full match over prefix match)
SearchResultToken? aLastToken = GetLastToken(), bLastToken = other.GetLastToken();
if (aLastToken != null && bLastToken != null)
{
var aDidPrefixMatchByTokenType = aLastToken.IsTokenPrefixMatching && tokenTypePrefixMatchingPolicy[aLastToken.Definition.Type] == TokenTypePrefixMatchingPolicy.AllowOnlyAtInputEnd;
var bDidPrefixMatchByTokenType = bLastToken.IsTokenPrefixMatching && tokenTypePrefixMatchingPolicy[bLastToken.Definition.Type] == TokenTypePrefixMatchingPolicy.AllowOnlyAtInputEnd;
if (aDidPrefixMatchByTokenType != bDidPrefixMatchByTokenType) return aDidPrefixMatchByTokenType ? 1 : -1;
}
// Prefer results that matched fewer discontinuous ranges over more
int aRangeCount = GetRangeCount(), bRangeCount = other.GetRangeCount();
if (aRangeCount != bRangeCount) return aRangeCount - bRangeCount;
// Prefer results that matches first token in document earlier over later
OffsetSpan aFirstTokenDocumentOffset = GetFirstTokenDocumentOffset(), bFirstTokenDocumentOffset = other.GetFirstTokenDocumentOffset();
if (aFirstTokenDocumentOffset.Start != bFirstTokenDocumentOffset.Start) return aFirstTokenDocumentOffset.Start - bFirstTokenDocumentOffset.Start;
// Prefer results that has higher match ratio (but don't distinguish similar ratios, so we introduced `matchRatioLevel`)
int? aMatchRatioLevel = GetMatchRatioLevel(), bMatchRatioLevel = other.GetMatchRatioLevel();
if (aMatchRatioLevel != null && bMatchRatioLevel != null)
{
if (aMatchRatioLevel.Value != bMatchRatioLevel.Value) return bMatchRatioLevel.Value - aMatchRatioLevel.Value;
}
// Prefer results that last token occurred earlier (if same, ended earlier) in the document over later
OffsetSpan aLastTokenDocumentOffset = GetLastTokenDocumentOffset(), bLastTokenDocumentOffset = other.GetLastTokenDocumentOffset();
if (aLastTokenDocumentOffset.Start != bLastTokenDocumentOffset.Start) return aLastTokenDocumentOffset.Start - bLastTokenDocumentOffset.Start;
if (aLastTokenDocumentOffset.End != bLastTokenDocumentOffset.End) return aLastTokenDocumentOffset.End - bLastTokenDocumentOffset.End;
// Prefer results that has higher match ratio (precisely)
double aMatchRatio = GetMatchRatio(), bMatchRatio = other.GetMatchRatio();
if (aMatchRatio != bMatchRatio) return bMatchRatio < aMatchRatio ? -1 : bMatchRatio > aMatchRatio ? 1 : 0;
return FallbackCompareTo(other);
}
}
public class IntermediateResult : ComparableStateBase<IntermediateResult>
{
public required IntermediateResult? PreviousState { get; init; }
public required OffsetSpan FirstTokenDocumentOffset { get; init; }
public required int RangeCount { get; init; }
public required int TokenCount { get; init; }
public required int PrefixMatchCount { get; init; }
public required double MatchedTokenLength { get; init; }
public required int TokenId { get; init; }
public required OffsetSpan DocumentOffset { get; init; }
public required OffsetSpan InputOffset { get; init; }
public required bool IsTokenPrefixMatching { get; init; }
protected override int GetRangeCount() => RangeCount;
protected override int GetPrefixMatchCount() => PrefixMatchCount;
protected override OffsetSpan GetFirstTokenDocumentOffset() => FirstTokenDocumentOffset;
protected override OffsetSpan GetLastTokenDocumentOffset() => DocumentOffset;
protected override double GetMatchRatio() => MatchedTokenLength; // No need to divide document length since intermediate results are for same document
}
public class CandidateResult : ComparableStateBase<CandidateResult>
{
public required SearchResultToken[] Tokens { get; init; }
public required int PrefixMatchCount { get; init; }
public required double MatchedTokenLength { get; init; }
public required int RangeCount { get; init; }
protected override int GetRangeCount() => RangeCount;
protected override int GetPrefixMatchCount() => PrefixMatchCount;
protected override OffsetSpan GetFirstTokenDocumentOffset() => Tokens[0].DocumentOffset;
protected override OffsetSpan GetLastTokenDocumentOffset() => Tokens[^1].DocumentOffset;
protected override SearchResultToken? GetLastToken() => Tokens[^1];
protected override double GetMatchRatio() => MatchedTokenLength; // No need to divide document length since intermediate results are for same document
}
public class FinalResult : ComparableStateBase<FinalResult>
{
public required SearchResult Result { get; init; }
protected override int GetRangeCount() => Result.RangeCount;
protected override int GetPrefixMatchCount() => Result.PrefixMatchCount;
protected override OffsetSpan GetFirstTokenDocumentOffset() => Result.Tokens[0].DocumentOffset;
protected override OffsetSpan GetLastTokenDocumentOffset() => Result.Tokens[^1].DocumentOffset;
protected override SearchResultToken? GetLastToken() => Result.Tokens[^1];
protected override double GetMatchRatio() => Result.MatchRatio;
protected override int? GetMatchRatioLevel() => Result.MatchRatioLevel;
protected override int FallbackCompareTo(FinalResult other) => string.Compare(Result.DocumentText, other.Result.DocumentText, StringComparison.InvariantCulture);
}
private static bool IsIgnorableCodePoint(int codePoint) => CommonUtils.IsWhitespace(codePoint) || codePoint == 0x3099 || codePoint == 0x309A;
public enum TokenTypePrefixMatchingPolicy {
AlwaysAllow,
NeverAllow,
AllowOnlyAtInputEnd,
}
private static Dictionary<TokenType, TokenTypePrefixMatchingPolicy> tokenTypePrefixMatchingPolicy = new()
{
[TokenType.Romaji] = TokenTypePrefixMatchingPolicy.NeverAllow,
[TokenType.Kana] = TokenTypePrefixMatchingPolicy.AlwaysAllow,
// These token types are in an "other" Trie
[TokenType.Han] = TokenTypePrefixMatchingPolicy.AllowOnlyAtInputEnd, // No effect because always 1 code point
[TokenType.Pinyin] = TokenTypePrefixMatchingPolicy.AllowOnlyAtInputEnd,
[TokenType.Raw] = TokenTypePrefixMatchingPolicy.AllowOnlyAtInputEnd, // No effect because always 1 code point
};
private static bool ShouldAllowPrefixMatching(TokenType tokenType, bool isAtInputEnd) =>
tokenTypePrefixMatchingPolicy[tokenType] == TokenTypePrefixMatchingPolicy.AlwaysAllow ||
(tokenTypePrefixMatchingPolicy[tokenType] != TokenTypePrefixMatchingPolicy.NeverAllow && isAtInputEnd);
private static bool HasNonEmptyCharacters(int[] documentCodePoints, int start, int end) =>
start != end && !documentCodePoints.Skip(start).Take(end - start).All(CommonUtils.IsWhitespace);
public static SearchResult[] Search(LoadedInvertedIndex invertedIndex, string text)
{
var documents = invertedIndex.Documents;
var documentCodePoints = invertedIndex.DocumentCodePoints;
var tokenDefinitions = invertedIndex.TokenDefinitions;
var tries = invertedIndex.Tries;
var codePoints = text.ToCodePoints().Select(CommonNormalization.NormalizeCodePoint).Select(CommonNormalization.ToKatakana).ToArray();
// dp[i] = docId => end => IntermediateResult, starts from dp[-1] (l === 0), ends at dp[N - 1] (r === N - 1)
var dp = Enumerable.Range(0, codePoints.Length).Select(l => new Dictionary<int, Dictionary<int, IntermediateResult>>()).ToArray();
for (var l = 0; l < codePoints.Length; l++)
{
if (l != 0 && dp[l - 1].Count == 0) continue; // No documents match input from beginning to this position
var romajiNode = tries.Romaji;
var kanaNode = tries.Kana;
var otherNode = tries.Other;
for (var r = l; r < codePoints.Length && (romajiNode != null || kanaNode != null || otherNode != null); r++) // [l, r]
{
var codePoint = codePoints[r];
romajiNode = romajiNode.TraverseStep(codePoint, IsIgnorableCodePoint(codePoint));
kanaNode = kanaNode.TraverseStep(codePoint, IsIgnorableCodePoint(codePoint));
otherNode = otherNode.TraverseStep(codePoint, IsIgnorableCodePoint(codePoint));
var reachingInputEnd = r == codePoints.Length - 1;
HashSet<int> matchingTokenIds =
[
// Allow suffix matching of romaji/other tokens if we're at the end of the input
.. romajiNode.GetTokenIds(ShouldAllowPrefixMatching(TokenType.Romaji, reachingInputEnd)),
.. kanaNode.GetTokenIds(ShouldAllowPrefixMatching(TokenType.Kana, reachingInputEnd)),
.. otherNode.GetTokenIds(reachingInputEnd),
];
foreach (var tokenId in matchingTokenIds) foreach (var reference in tokenDefinitions[tokenId].References)
{
var isTokenPrefixMatching = !romajiNode.IsTokenExactMatch(tokenId) && !kanaNode.IsTokenExactMatch(tokenId) && !otherNode.IsTokenExactMatch(tokenId);
var previousMatchesOfDocument = l != 0 && dp[l - 1].TryGetValue(reference.DocumentId, out var previousMatches) ? previousMatches : null;
if (l != 0 && previousMatchesOfDocument == null) continue;
foreach (var documentOffset in reference.Offsets)
{
int currentStart = documentOffset.Start, currentEnd = documentOffset.End;
if (l == 0) ContributeNextMatchingState(null);
else foreach (var (previousEnd, previousMatch) in previousMatchesOfDocument!) if (currentStart >= previousEnd) ContributeNextMatchingState(previousMatch);
void ContributeNextMatchingState(IntermediateResult? previousState)
{
var nextMatchingMap = dp[r];
if (!nextMatchingMap.TryGetValue(reference.DocumentId, out var nextMatches)) nextMatches = nextMatchingMap[reference.DocumentId] = [];
var oldResult = nextMatches.TryGetValue(currentEnd, out var result) ? result : null;
var inputOffset = new OffsetSpan { Start = l, End = r + 1 };
var newResult = new IntermediateResult
{
PreviousState = previousState,
FirstTokenDocumentOffset = previousState?.FirstTokenDocumentOffset ?? documentOffset,
RangeCount = previousState == null ? 1 :
previousState.RangeCount + (HasNonEmptyCharacters(documentCodePoints[reference.DocumentId], previousState.DocumentOffset.End, currentStart) ? 1 : 0),
TokenCount = (previousState?.TokenCount ?? 0) + 1,
PrefixMatchCount = (previousState?.PrefixMatchCount ?? 0) + (isTokenPrefixMatching ? 1 : 0),
MatchedTokenLength = (previousState?.MatchedTokenLength ?? 0) + documentOffset.Length *
Math.Min(isTokenPrefixMatching ? (double)inputOffset.Length / tokenDefinitions[tokenId].CodePointLength : double.PositiveInfinity, 1),
TokenId = tokenId,
DocumentOffset = documentOffset,
InputOffset = inputOffset,
IsTokenPrefixMatching = isTokenPrefixMatching,
};
nextMatches[currentEnd] = oldResult == null || newResult.CompareTo(oldResult) < 0 ? newResult : oldResult;
}
}
}
}
}
// Build search results and sort documents
return dp[codePoints.Length - 1].Select(entry =>
{
var (documentId, matches) = entry;
var sortedMatches = matches.Values.Select(match =>
{
var tokens = new List<SearchResultToken>();
// Build token list from backtracking
var state = match;
while (state != null)
{
tokens.Add(new SearchResultToken
{
Definition = tokenDefinitions[state.TokenId],
DocumentOffset = state.DocumentOffset, InputOffset = state.InputOffset,
IsTokenPrefixMatching = state.IsTokenPrefixMatching,
});
state = state.PreviousState;
}
tokens.Reverse();
return new CandidateResult
{
Tokens = tokens.ToArray(),
PrefixMatchCount = match.PrefixMatchCount,
MatchedTokenLength = match.MatchedTokenLength,
RangeCount = match.RangeCount,
};
}).OrderBy(match => match);
var bestMatch = sortedMatches.First();
var documentText = documents[documentId];
var matchRatio = bestMatch.MatchedTokenLength / documentCodePoints[documentId].Length;
var matchRatioLevel = (int)Math.Round(matchRatio * 5);
return new FinalResult
{
Result = new SearchResult
{
DocumentId = documentId,
DocumentText = documentText,
DocumentCodePoints = documentCodePoints[documentId],
Tokens = bestMatch.Tokens,
PrefixMatchCount = bestMatch.PrefixMatchCount,
RangeCount = bestMatch.RangeCount,
MatchRatio = matchRatio,
MatchRatioLevel = matchRatioLevel,
}
};
}).OrderBy(result => result).Select(result => result.Result).ToArray();
}
}
@@ -0,0 +1,23 @@
<Project Sdk="Microsoft.NET.Sdk">
<PropertyGroup>
<TargetFramework>netstandard2.0</TargetFramework>
<OutputType>Library</OutputType>
<RootNamespace>$(ProjectName).Searcher</RootNamespace>
<AssemblyName>$(RootNamespace)</AssemblyName>
</PropertyGroup>
<PropertyGroup>
<IsPackable>true</IsPackable>
<PackageId>$(RootNamespace)</PackageId>
</PropertyGroup>
<ItemGroup>
<ProjectReference Include="..\MaigoLabs.NeedLe.Common\MaigoLabs.NeedLe.Common.csproj" />
</ItemGroup>
<ItemGroup>
<PackageReference Include="DotNetCampus.LatestCSharpFeatures" PrivateAssets="all" />
</ItemGroup>
</Project>
@@ -0,0 +1,37 @@
using MaigoLabs.NeedLe.Common.Extensions;
using MaigoLabs.NeedLe.Common.Types;
namespace MaigoLabs.NeedLe.Searcher;
public class HighlightedTextPart
{
public required string Text { get; init; }
public required bool IsHighlighted { get; init; }
}
public static class SearchResultHighlighter
{
public static List<HighlightedTextPart> Highlight(SearchResult resultDocument)
{
var result = new List<HighlightedTextPart>();
var previousHighlightEnd = 0;
foreach (var token in resultDocument.Tokens)
{
var notHighlightedText = resultDocument.DocumentCodePoints.Skip(previousHighlightEnd).Take(token.DocumentOffset.Start - previousHighlightEnd).ToUtf32String();
if (notHighlightedText.Length > 0) result.Add(new HighlightedTextPart { Text = notHighlightedText, IsHighlighted = false });
var highlightEnd = token.IsTokenPrefixMatching && token.Definition.Type == TokenType.Kana
? token.DocumentOffset.Start + Math.Max(
1,
(int)Math.Round(
token.DocumentOffset.Length *
Math.Min(1, (double)token.InputOffset.Length / token.Definition.CodePointLength)
)
)
: token.DocumentOffset.End;
result.Add(new HighlightedTextPart { Text = resultDocument.DocumentCodePoints.Skip(token.DocumentOffset.Start).Take(highlightEnd - token.DocumentOffset.Start).ToUtf32String(), IsHighlighted = true });
previousHighlightEnd = highlightEnd;
}
if (previousHighlightEnd < resultDocument.DocumentCodePoints.Length) result.Add(new HighlightedTextPart { Text = resultDocument.DocumentCodePoints.Skip(previousHighlightEnd).ToUtf32String(), IsHighlighted = false });
return result;
}
}
@@ -0,0 +1,73 @@
using MaigoLabs.NeedLe.Common;
namespace MaigoLabs.NeedLe.Searcher.Trie;
public class DeserializedTrie
{
public required TrieNode Root { get; set; }
public required Dictionary<int, int[]> TokenCodePoints { get; set; }
}
public static class TrieDeserializer
{
public static DeserializedTrie Deserialize(int[] data)
{
var nodes = new List<TrieNode?>();
TrieNode GetNode(int id)
{
if (id > nodes.Count) nodes.AddRange(Enumerable.Repeat<TrieNode?>(null, id - nodes.Count));
return nodes[id - 1] ??= new TrieNode { Parent = null, Children = [], TokenIds = [], SubTreeTokenIds = [] };
}
var currentId = 0;
for (var i = 0; i < data.Length; )
{
var node = GetNode(++currentId);
var parentId = data[i++];
node.Parent = parentId != 0 ? GetNode(parentId) : null;
var endOfChildren = i;
while (endOfChildren < data.Length && data[endOfChildren] > 0) endOfChildren++;
var numberOfChildren = (endOfChildren - i) / 2;
for (var j = i; j < i + numberOfChildren; j++)
{
var codePoint = data[j];
var child = GetNode(data[j + numberOfChildren]);
node.Children.Add(codePoint, child);
}
i = endOfChildren;
if (data[i] == 0) i++; // No token IDs
else while (i < data.Length && data[i] < 0) node.TokenIds.Add(-data[i++] - 1);
}
var root = nodes[0]!;
// DFS to construct code point paths for each token
var tokenCodePoints = new Dictionary<int, int[]>();
var currentCodePoints = new List<int>();
void DfsCodePoints(TrieNode node)
{
foreach (var tokenId in node.TokenIds) tokenCodePoints.Add(tokenId, [.. currentCodePoints]);
foreach (var (codePoint, child) in node.Children)
{
if (child.Parent != node) continue; // Skip grafted paths as these are not the canonical representation of the tokens
currentCodePoints.Add(codePoint);
DfsCodePoints(child);
currentCodePoints.RemoveAt(currentCodePoints.Count - 1);
}
}
DfsCodePoints(root);
// DFS to construct subTreeTokenIds for each node
var visitedNodes = new HashSet<TrieNode>();
List<int> DfsSubTreeTokenIds(TrieNode node)
{
if (visitedNodes.Contains(node)) return node.SubTreeTokenIds;
visitedNodes.Add(node);
node.SubTreeTokenIds = new HashSet<int>(node.TokenIds.Concat(node.Children.Values.SelectMany(DfsSubTreeTokenIds))).ToList();
return node.SubTreeTokenIds;
};
DfsSubTreeTokenIds(root);
return new DeserializedTrie { Root = root, TokenCodePoints = tokenCodePoints };
}
}
@@ -0,0 +1,126 @@
using MaigoLabs.NeedLe.Common;
namespace MaigoLabs.NeedLe.Tests.Common;
#region ToKatakana
public sealed class ToKatakana_ConvertsHiraganaToKatakanaTest : NeedleTestBase
{
[Fact]
public void Execute()
{
Assert.Equal("アイウエオ", CommonNormalization.ToKatakana("あいうえお"));
Assert.Equal("カキクケコ", CommonNormalization.ToKatakana("かきくけこ"));
Assert.Equal("サシスセソ", CommonNormalization.ToKatakana("さしすせそ"));
}
}
public sealed class ToKatakana_KeepsKatakanaUnchangedTest : NeedleTestBase
{
[Fact]
public void Execute()
{
Assert.Equal("アイウエオ", CommonNormalization.ToKatakana("アイウエオ"));
}
}
public sealed class ToKatakana_KeepsNonKanaUnchangedTest : NeedleTestBase
{
[Fact]
public void Execute()
{
Assert.Equal("abc123", CommonNormalization.ToKatakana("abc123"));
Assert.Equal("漢字", CommonNormalization.ToKatakana("漢字"));
}
}
public sealed class ToKatakana_HandlesMixedInputTest : NeedleTestBase
{
[Fact]
public void Execute()
{
Assert.Equal("アアa漢", CommonNormalization.ToKatakana("あアa漢"));
}
}
#endregion
#region NormalizeCodePoint
public sealed class NormalizeCodePoint_ConvertsFullwidthAsciiToHalfwidthLowercaseTest : NeedleTestBase
{
[Fact]
public void Execute()
{
Assert.Equal('a', CommonNormalization.NormalizeCodePoint(''));
Assert.Equal('b', CommonNormalization.NormalizeCodePoint(''));
Assert.Equal('c', CommonNormalization.NormalizeCodePoint(''));
Assert.Equal('1', CommonNormalization.NormalizeCodePoint(''));
Assert.Equal('2', CommonNormalization.NormalizeCodePoint(''));
Assert.Equal('3', CommonNormalization.NormalizeCodePoint(''));
Assert.Equal('!', CommonNormalization.NormalizeCodePoint(''));
}
}
public sealed class NormalizeCodePoint_ConvertsFullwidthSpaceToHalfwidthTest : NeedleTestBase
{
[Fact]
public void Execute()
{
Assert.Equal(' ', CommonNormalization.NormalizeCodePoint(' '));
}
}
public sealed class NormalizeCodePoint_ConvertsHalfwidthKanaToFullwidthTest : NeedleTestBase
{
[Fact]
public void Execute()
{
Assert.Equal('ア', CommonNormalization.NormalizeCodePoint('ア'));
Assert.Equal('イ', CommonNormalization.NormalizeCodePoint('イ'));
Assert.Equal('ウ', CommonNormalization.NormalizeCodePoint('ウ'));
Assert.Equal('エ', CommonNormalization.NormalizeCodePoint('エ'));
Assert.Equal('オ', CommonNormalization.NormalizeCodePoint('オ'));
Assert.Equal('カ', CommonNormalization.NormalizeCodePoint('カ'));
}
}
public sealed class NormalizeCodePoint_NormalizesVoicedSoundMarksTest : NeedleTestBase
{
[Fact]
public void Execute()
{
Assert.Equal(0x3099, CommonNormalization.NormalizeCodePoint('゙')); // halfwidth voiced -> combining
Assert.Equal(0x309A, CommonNormalization.NormalizeCodePoint('゚')); // halfwidth semi-voiced -> combining
Assert.Equal(0x3099, CommonNormalization.NormalizeCodePoint('゛')); // fullwidth voiced -> combining
Assert.Equal(0x309A, CommonNormalization.NormalizeCodePoint('゜')); // fullwidth semi-voiced -> combining
}
}
public sealed class NormalizeCodePoint_ConvertsHalfwidthPunctuationToFullwidthTest : NeedleTestBase
{
[Fact]
public void Execute()
{
Assert.Equal('。', CommonNormalization.NormalizeCodePoint('。'));
Assert.Equal('「', CommonNormalization.NormalizeCodePoint('「'));
Assert.Equal('」', CommonNormalization.NormalizeCodePoint('」'));
Assert.Equal('、', CommonNormalization.NormalizeCodePoint('、'));
Assert.Equal('・', CommonNormalization.NormalizeCodePoint('・'));
}
}
public sealed class NormalizeCodePoint_LowercasesRegularAsciiTest : NeedleTestBase
{
[Fact]
public void Execute()
{
Assert.Equal('a', CommonNormalization.NormalizeCodePoint('A'));
Assert.Equal('b', CommonNormalization.NormalizeCodePoint('B'));
Assert.Equal('c', CommonNormalization.NormalizeCodePoint('C'));
}
}
#endregion
@@ -0,0 +1,91 @@
using MaigoLabs.NeedLe.Indexer;
using MaigoLabs.NeedLe.Searcher;
namespace MaigoLabs.NeedLe.Tests.E2E;
public sealed class Search_MatchesWithMixedSearchQueryTest : NeedleTestBase
{
private static readonly string[] TestDocuments =
[
"ミーティア",
"エンドマークに希望と涙を添えて",
"宵の鳥",
"僕の和風本当上手",
];
[Fact]
public void Execute()
{
var compressed = InvertedIndexBuilder.BuildInvertedIndex(TestDocuments, TokenizerOptions);
var invertedIndex = InvertedIndexLoader.Load(compressed);
var results = InvertedIndexSearcher.Search(invertedIndex, "bokunoh风じょう");
// Should have at least one result
Assert.NotEmpty(results);
// The first result should be "僕の和風本当上手"
Assert.Equal("僕の和風本当上手", results[0].DocumentText);
}
}
public sealed class Search_HighlightsSearchResultCorrectlyTest : NeedleTestBase
{
private static readonly string[] TestDocuments =
[
"ミーティア",
"エンドマークに希望と涙を添えて",
"宵の鳥",
"僕の和風本当上手",
];
[Fact]
public void Execute()
{
var compressed = InvertedIndexBuilder.BuildInvertedIndex(TestDocuments, TokenizerOptions);
var invertedIndex = InvertedIndexLoader.Load(compressed);
var results = InvertedIndexSearcher.Search(invertedIndex, "bokunoh风じょう");
Assert.NotEmpty(results);
var highlighted = SearchResultHighlighter.Highlight(results[0]);
// Should be a list of parts
Assert.NotEmpty(highlighted);
// Collect highlighted text
var highlightedTexts = highlighted.Where(p => p.IsHighlighted).Select(p => p.Text).ToList();
var highlightedJoined = string.Join("", highlightedTexts);
Assert.Contains("僕", highlightedJoined);
Assert.Contains("の", highlightedJoined);
Assert.Contains("和", highlightedJoined);
Assert.Contains("風", highlightedJoined);
Assert.Contains("上", highlightedJoined);
}
}
public sealed class Search_MatchesRomajiInputToKanaDocumentsTest : NeedleTestBase
{
private static readonly string[] TestDocuments =
[
"ミーティア",
"エンドマークに希望と涙を添えて",
"宵の鳥",
"僕の和風本当上手",
];
[Fact]
public void Execute()
{
var compressed = InvertedIndexBuilder.BuildInvertedIndex(TestDocuments, TokenizerOptions);
var invertedIndex = InvertedIndexLoader.Load(compressed);
// Search for "yoi" should match "宵の鳥"
var results = InvertedIndexSearcher.Search(invertedIndex, "yoi");
var matchedTexts = results.Select(r => r.DocumentText).ToList();
Assert.Contains("宵の鳥", matchedTexts);
}
}
@@ -0,0 +1,143 @@
using MaigoLabs.NeedLe.Common;
using MaigoLabs.NeedLe.Common.Extensions;
using MaigoLabs.NeedLe.Indexer.Trie;
using MaigoLabs.NeedLe.Searcher.Trie;
namespace MaigoLabs.NeedLe.Tests.E2E;
#region Trie Building
public sealed class TrieBuilding_BuildsTrieWithMultipleDifferentTokensTest : NeedleTestBase
{
[Fact]
public void Execute()
{
var trie = TrieBuilder.BuildTrie([
(0, "hello".ToCodePoints()),
(1, "help".ToCodePoints()),
(2, "world".ToCodePoints()),
(3, "word".ToCodePoints()),
]);
// Traverse to verify structure
var helloNode = trie.Traverse("hello".ToCodePoints().ToArray());
var helpNode = trie.Traverse("help".ToCodePoints().ToArray());
var worldNode = trie.Traverse("world".ToCodePoints().ToArray());
var wordNode = trie.Traverse("word".ToCodePoints().ToArray());
Assert.NotNull(helloNode);
Assert.NotNull(helpNode);
Assert.NotNull(worldNode);
Assert.NotNull(wordNode);
// Check token IDs
Assert.Contains(0, helloNode!.TokenIds);
Assert.Contains(1, helpNode!.TokenIds);
Assert.Contains(2, worldNode!.TokenIds);
Assert.Contains(3, wordNode!.TokenIds);
// Check that 'hel' prefix node has both tokens in subTree
var helNode = trie.Traverse("hel".ToCodePoints().ToArray());
Assert.NotNull(helNode);
Assert.Contains(0, helNode!.SubTreeTokenIds);
Assert.Contains(1, helNode.SubTreeTokenIds);
}
}
public sealed class TrieBuilding_HandlesJapaneseTextTokensTest : NeedleTestBase
{
[Fact]
public void Execute()
{
var trie = TrieBuilder.BuildTrie([
(0, "さくら".ToCodePoints()),
(1, "サクラ".ToCodePoints()),
(2, "桜".ToCodePoints()),
]);
Assert.Contains(0, trie.Traverse("さくら".ToCodePoints().ToArray())?.TokenIds ?? []);
Assert.Contains(1, trie.Traverse("サクラ".ToCodePoints().ToArray())?.TokenIds ?? []);
Assert.Contains(2, trie.Traverse("桜".ToCodePoints().ToArray())?.TokenIds ?? []);
}
}
#endregion
#region Trie Serialization
public sealed class TrieSerialization_SerializesAndDeserializesCorrectlyTest : NeedleTestBase
{
[Fact]
public void Execute()
{
var originalTrie = TrieBuilder.BuildTrie([
(0, "apple".ToCodePoints()),
(1, "app".ToCodePoints()),
(2, "banana".ToCodePoints()),
]);
// Serialize
var serialized = TrieSerializer.Serialize(originalTrie);
Assert.True(serialized.Length > 0);
// Deserialize
var deserialized = TrieDeserializer.Deserialize(serialized);
var deserializedTrie = deserialized.Root;
var tokenCodePoints = deserialized.TokenCodePoints;
// Verify structure is preserved
var appleNode = deserializedTrie.Traverse("apple".ToCodePoints().ToArray());
var appNode = deserializedTrie.Traverse("app".ToCodePoints().ToArray());
var bananaNode = deserializedTrie.Traverse("banana".ToCodePoints().ToArray());
Assert.NotNull(appleNode);
Assert.NotNull(appNode);
Assert.NotNull(bananaNode);
Assert.Contains(0, appleNode!.TokenIds);
Assert.Contains(1, appNode!.TokenIds);
Assert.Contains(2, bananaNode!.TokenIds);
// Verify tokenCodePoints map
Assert.Equal("apple", tokenCodePoints[0].ToUtf32String());
Assert.Equal("app", tokenCodePoints[1].ToUtf32String());
Assert.Equal("banana", tokenCodePoints[2].ToUtf32String());
// Verify subTreeTokenIds are reconstructed
Assert.Contains(0, appNode.SubTreeTokenIds);
Assert.Contains(1, appNode.SubTreeTokenIds);
}
}
public sealed class TrieSerialization_PreservesParentReferencesAfterDeserializationTest : NeedleTestBase
{
[Fact]
public void Execute()
{
var originalTrie = TrieBuilder.BuildTrie([
(0, "test".ToCodePoints()),
]);
var serialized = TrieSerializer.Serialize(originalTrie);
var deserialized = TrieDeserializer.Deserialize(serialized);
var root = deserialized.Root;
var testNode = root.Traverse("test".ToCodePoints().ToArray());
Assert.NotNull(testNode);
// Walk back to root via parent references
TrieNode? node = testNode;
var depth = 0;
while (node?.Parent != null)
{
node = node.Parent;
depth++;
}
Assert.Equal(4, depth); // 't' -> 'e' -> 's' -> 't' -> root
Assert.Same(root, node);
}
}
#endregion
@@ -0,0 +1,75 @@
using MaigoLabs.NeedLe.Indexer.Han;
namespace MaigoLabs.NeedLe.Tests.Indexer.Han;
#region IsHanCharacter
public sealed class IsHanCharacter_ReturnsTrueForCjkCharactersTest : NeedleTestBase
{
[Fact]
public void Execute()
{
Assert.True(HanVariantProvider.IsHanCharacter('中'));
Assert.True(HanVariantProvider.IsHanCharacter('国'));
Assert.True(HanVariantProvider.IsHanCharacter('日'));
Assert.True(HanVariantProvider.IsHanCharacter('本'));
}
}
public sealed class IsHanCharacter_ReturnsFalseForNonCjkCharactersTest : NeedleTestBase
{
[Fact]
public void Execute()
{
Assert.False(HanVariantProvider.IsHanCharacter('a'));
Assert.False(HanVariantProvider.IsHanCharacter('あ'));
Assert.False(HanVariantProvider.IsHanCharacter('ア'));
Assert.False(HanVariantProvider.IsHanCharacter('1'));
}
}
#endregion
#region GetHanVariants
public sealed class GetHanVariants_ReturnsVariantsForSimplifiedTraditionalTest : NeedleTestBase
{
[Fact]
public void Execute()
{
var provider = new HanVariantProvider();
// 国 (simplified) and 國 (traditional) should be variants of each other
var variants1 = provider.GetHanVariants('国');
var variants2 = provider.GetHanVariants('國');
Assert.Contains('国', variants1);
Assert.Contains('國', variants1);
Assert.Contains('国', variants2);
Assert.Contains('國', variants2);
}
}
public sealed class GetHanVariants_ReturnsCharacterItselfForNoVariantsTest : NeedleTestBase
{
[Fact]
public void Execute()
{
var provider = new HanVariantProvider();
var variants = provider.GetHanVariants('一');
Assert.Contains('一', variants);
}
}
public sealed class GetHanVariants_ReturnsEmptyForNonHanCharactersTest : NeedleTestBase
{
[Fact]
public void Execute()
{
var provider = new HanVariantProvider();
Assert.Empty(provider.GetHanVariants('a'));
Assert.Empty(provider.GetHanVariants('あ'));
}
}
#endregion
@@ -0,0 +1,51 @@
using MaigoLabs.NeedLe.Indexer.Han;
namespace MaigoLabs.NeedLe.Tests.Indexer.Han;
public sealed class GetPinyinCandidates_ReturnsPinyinForHanCharacterTest : NeedleTestBase
{
[Fact]
public void Execute()
{
var candidates = PinyinHelper.GetPinyinCandidates('中').ToList();
Assert.Contains("zhong", candidates);
Assert.Contains("zh", candidates); // initial
Assert.Contains("z", candidates); // first letter
}
}
public sealed class GetPinyinCandidates_ReturnsMultiplePinyinForPolyphonicTest : NeedleTestBase
{
[Fact]
public void Execute()
{
// 行 can be "xing" or "hang"
var candidates = PinyinHelper.GetPinyinCandidates('行').ToList();
Assert.Contains("xing", candidates);
Assert.Contains("hang", candidates);
}
}
public sealed class GetPinyinCandidates_IncludesFuzzyPinyinVariantsTest : NeedleTestBase
{
[Fact]
public void Execute()
{
// 风 is "feng", should also have fuzzy variant "fen"
var candidates = PinyinHelper.GetPinyinCandidates('风').ToList();
Assert.Contains("feng", candidates);
Assert.Contains("fen", candidates); // fuzzy: eng -> en
}
}
public sealed class GetPinyinCandidates_ReturnsEmptyForNonHanCharactersTest : NeedleTestBase
{
[Fact]
public void Execute()
{
Assert.Empty(PinyinHelper.GetPinyinCandidates('a'));
Assert.Empty(PinyinHelper.GetPinyinCandidates('あ'));
}
}
@@ -0,0 +1,59 @@
using MaigoLabs.NeedLe.Indexer.Han;
namespace MaigoLabs.NeedLe.Tests.Indexer.Han;
public sealed class UnionFindSet_FindsSelfAsRootInitiallyTest : NeedleTestBase
{
[Fact]
public void Execute()
{
var ufs = new UnionFindSet();
Assert.Equal(1, ufs.Find(1));
Assert.Equal(2, ufs.Find(2));
}
}
public sealed class UnionFindSet_UnionsTwoElementsTest : NeedleTestBase
{
[Fact]
public void Execute()
{
var ufs = new UnionFindSet();
ufs.Union(1, 2);
Assert.Equal(ufs.Find(1), ufs.Find(2));
}
}
public sealed class UnionFindSet_UnionsMultipleElementsTransitivelyTest : NeedleTestBase
{
[Fact]
public void Execute()
{
var ufs = new UnionFindSet();
ufs.Union(1, 2);
ufs.Union(2, 3);
ufs.Union(4, 5);
Assert.Equal(ufs.Find(1), ufs.Find(3));
Assert.NotEqual(ufs.Find(1), ufs.Find(4));
ufs.Union(3, 4);
Assert.Equal(ufs.Find(1), ufs.Find(5));
}
}
public sealed class UnionFindSet_IteratesAllKeysTest : NeedleTestBase
{
[Fact]
public void Execute()
{
var ufs = new UnionFindSet();
ufs.Union(1, 2);
ufs.Union(3, 4);
var keys = ufs.Keys.ToList();
Assert.Contains(1, keys);
Assert.Contains(2, keys);
Assert.Contains(3, keys);
Assert.Contains(4, keys);
}
}
@@ -0,0 +1,69 @@
using MaigoLabs.NeedLe.Indexer.Japanese;
namespace MaigoLabs.NeedLe.Tests.Indexer.Japanese;
#region ToRomajiStrictly
public sealed class ToRomajiStrictly_ConvertsBasicKanaToRomajiTest : NeedleTestBase
{
[Fact]
public void Execute()
{
Assert.Equal("a", JapaneseUtils.ToRomajiStrictly("あ"));
Assert.Equal("ka", JapaneseUtils.ToRomajiStrictly("か"));
Assert.Equal("sakura", JapaneseUtils.ToRomajiStrictly("さくら"));
}
}
public sealed class ToRomajiStrictly_ConvertsKatakanaToRomajiTest : NeedleTestBase
{
[Fact]
public void Execute()
{
Assert.Equal("a", JapaneseUtils.ToRomajiStrictly("ア"));
Assert.Equal("ka", JapaneseUtils.ToRomajiStrictly("カ"));
Assert.Equal("sakura", JapaneseUtils.ToRomajiStrictly("サクラ"));
}
}
public sealed class ToRomajiStrictly_HandlesLongVowelsTest : NeedleTestBase
{
[Fact]
public void Execute()
{
Assert.Equal("ou", JapaneseUtils.ToRomajiStrictly("おう"));
Assert.Equal("oo", JapaneseUtils.ToRomajiStrictly("おお"));
}
}
public sealed class ToRomajiStrictly_ReturnsEmptyForInvalidFirstCharacterTest : NeedleTestBase
{
[Fact]
public void Execute()
{
Assert.Equal("", JapaneseUtils.ToRomajiStrictly("ー")); // prolonged sound mark cannot be first
Assert.Equal("", JapaneseUtils.ToRomajiStrictly("ゃ")); // small ya cannot be first
}
}
public sealed class ToRomajiStrictly_ReturnsEmptyForInvalidLastCharacterTest : NeedleTestBase
{
[Fact]
public void Execute()
{
Assert.Equal("", JapaneseUtils.ToRomajiStrictly("っ")); // small tsu cannot be last
}
}
public sealed class ToRomajiStrictly_HandlesGeminationTest : NeedleTestBase
{
[Fact]
public void Execute()
{
Assert.Equal("katta", JapaneseUtils.ToRomajiStrictly("かった"));
}
}
#endregion
@@ -0,0 +1,40 @@
using MaigoLabs.NeedLe.Indexer.Japanese;
namespace MaigoLabs.NeedLe.Tests.Indexer.Japanese;
public sealed class GetAllKanaReadings_ReturnsKatakanaForPureKanaInputTest : NeedleTestBase
{
[Fact]
public void Execute()
{
var provider = new TranscriptionProvider();
var readings = provider.GetAllKanaReadings("あ");
Assert.Contains("ア", readings);
}
}
public sealed class GetAllKanaReadings_ReturnsReadingsForKanjiTest : NeedleTestBase
{
[Fact]
public void Execute()
{
var provider = new TranscriptionProvider();
var readings = provider.GetAllKanaReadings("僕");
Assert.NotEmpty(readings);
// 僕 should have reading ボク
Assert.Contains("ボク", readings);
}
}
public sealed class GetAllKanaReadings_ReturnsReadingsForCompoundWordsTest : NeedleTestBase
{
[Fact]
public void Execute()
{
var provider = new TranscriptionProvider();
var readings = provider.GetAllKanaReadings("和風");
Assert.NotEmpty(readings);
}
}
@@ -0,0 +1,165 @@
using MaigoLabs.NeedLe.Common.Types;
using MaigoLabs.NeedLe.Indexer;
namespace MaigoLabs.NeedLe.Tests.Indexer;
public sealed class Tokenizer_TokenizesMixedJapaneseTextTest : NeedleTestBase
{
[Fact]
public void Execute()
{
var tokenizer = new Tokenizer(TokenizerOptions);
var tokens = tokenizer.Tokenize("僕の和風本当上手");
var tokenDefs = tokenizer.Tokens.Values.ToList();
// Should have tokens of various types
var types = tokenDefs.Select(t => t.Type).ToHashSet();
Assert.Contains(TokenType.Han, types);
Assert.Contains(TokenType.Pinyin, types);
Assert.Contains(TokenType.Kana, types);
Assert.Contains(TokenType.Romaji, types);
// Helper to get token texts at a specific position by type
List<string> GetTokenTextsAt(int pos, TokenType type) => tokens
.Where(t => t.Start <= pos && t.End > pos)
.Select(t => tokenDefs.First(d => d.Id == t.Id))
.Where(d => d.Type == type)
.Select(d => d.Text)
.ToList();
// Position 0: 僕
Assert.Contains("僕", GetTokenTextsAt(0, TokenType.Han));
Assert.Contains("pu", GetTokenTextsAt(0, TokenType.Pinyin));
Assert.Contains("ボク", GetTokenTextsAt(0, TokenType.Kana));
Assert.Contains("boku", GetTokenTextsAt(0, TokenType.Romaji));
// Position 1: の (hiragana, no Han/Pinyin)
Assert.Empty(GetTokenTextsAt(1, TokenType.Han));
Assert.Empty(GetTokenTextsAt(1, TokenType.Pinyin));
Assert.Contains("", GetTokenTextsAt(1, TokenType.Kana));
Assert.Contains("no", GetTokenTextsAt(1, TokenType.Romaji));
// Position 2: 和
Assert.Contains("和", GetTokenTextsAt(2, TokenType.Han));
Assert.Contains("he", GetTokenTextsAt(2, TokenType.Pinyin));
Assert.Contains("ワ", GetTokenTextsAt(2, TokenType.Kana));
Assert.Contains("wa", GetTokenTextsAt(2, TokenType.Romaji));
// Position 3: 風
Assert.Contains("風", GetTokenTextsAt(3, TokenType.Han));
Assert.Contains("风", GetTokenTextsAt(3, TokenType.Han)); // simplified variant
Assert.Contains("feng", GetTokenTextsAt(3, TokenType.Pinyin));
Assert.Contains("フウ", GetTokenTextsAt(3, TokenType.Kana));
Assert.Contains("fu", GetTokenTextsAt(3, TokenType.Romaji));
// Position 4: 本
Assert.Contains("本", GetTokenTextsAt(4, TokenType.Han));
Assert.Contains("ben", GetTokenTextsAt(4, TokenType.Pinyin));
Assert.Contains("ホン", GetTokenTextsAt(4, TokenType.Kana));
Assert.Contains("hon", GetTokenTextsAt(4, TokenType.Romaji));
// Position 5: 当
Assert.Contains("当", GetTokenTextsAt(5, TokenType.Han));
Assert.Contains("當", GetTokenTextsAt(5, TokenType.Han)); // traditional variant
Assert.Contains("dang", GetTokenTextsAt(5, TokenType.Pinyin));
Assert.Contains("トウ", GetTokenTextsAt(5, TokenType.Kana));
Assert.Contains("to", GetTokenTextsAt(5, TokenType.Romaji)); // normalized: tou -> to
// Position 6: 上
Assert.Contains("上", GetTokenTextsAt(6, TokenType.Han));
Assert.Contains("shang", GetTokenTextsAt(6, TokenType.Pinyin));
Assert.Contains("ジョウ", GetTokenTextsAt(6, TokenType.Kana));
Assert.Contains("jo", GetTokenTextsAt(6, TokenType.Romaji)); // normalized: jou -> jo
// Position 7: 手
Assert.Contains("手", GetTokenTextsAt(7, TokenType.Han));
Assert.Contains("shou", GetTokenTextsAt(7, TokenType.Pinyin));
Assert.Contains("シュ", GetTokenTextsAt(7, TokenType.Kana));
Assert.Contains("shu", GetTokenTextsAt(7, TokenType.Romaji));
}
}
public sealed class Tokenizer_NoDuplicateTokensTest : NeedleTestBase
{
[Fact]
public void Execute()
{
var tokenizer = new Tokenizer(TokenizerOptions);
// Tokenize multiple music names that share some characters
tokenizer.Tokenize("僕の和風本当上手");
tokenizer.Tokenize("僕");
tokenizer.Tokenize("和風");
// Check that there are no duplicate tokens
var tokenDefs = tokenizer.Tokens.Values.ToList();
var tokenKeys = tokenDefs.Select(t => $"{t.Type}:{t.Text}").ToList();
var uniqueKeys = tokenKeys.ToHashSet();
Assert.Equal(uniqueKeys.Count, tokenKeys.Count);
// Also check that IDs are unique
var ids = tokenDefs.Select(t => t.Id).ToList();
var uniqueIds = ids.ToHashSet();
Assert.Equal(uniqueIds.Count, ids.Count);
}
}
public sealed class Tokenizer_HandlesRawTokensForNonCjkTest : NeedleTestBase
{
[Fact]
public void Execute()
{
var tokenizer = new Tokenizer(TokenizerOptions);
tokenizer.Tokenize("a-b");
var tokenDefs = tokenizer.Tokens.Values.ToList();
var rawTokenTexts = tokenDefs.Where(t => t.Type == TokenType.Raw).Select(t => t.Text).ToList();
Assert.Contains("a", rawTokenTexts);
Assert.Contains("-", rawTokenTexts);
Assert.Contains("b", rawTokenTexts);
}
}
public sealed class Tokenizer_TokenizesCompoundWordKyouTest : NeedleTestBase
{
[Fact]
public void Execute()
{
var tokenizer = new Tokenizer(TokenizerOptions);
var tokens = tokenizer.Tokenize("今日");
var tokenDefs = tokenizer.Tokens.Values.ToList();
// Helper to get tokens with specific type and span
List<string> GetTokensWithSpan(TokenType type, int start, int end) => tokens
.Where(t => t.Start == start && t.End == end)
.Select(t => tokenDefs.First(d => d.Id == t.Id))
.Where(d => d.Type == type)
.Select(d => d.Text)
.ToList();
// Individual character readings at position 0: 今
Assert.Contains("今", GetTokensWithSpan(TokenType.Han, 0, 1));
Assert.Contains("jin", GetTokensWithSpan(TokenType.Pinyin, 0, 1));
Assert.Contains("コン", GetTokensWithSpan(TokenType.Kana, 0, 1));
Assert.Contains("イマ", GetTokensWithSpan(TokenType.Kana, 0, 1));
Assert.Contains("kon", GetTokensWithSpan(TokenType.Romaji, 0, 1));
Assert.Contains("ima", GetTokensWithSpan(TokenType.Romaji, 0, 1));
// Individual character readings at position 1: 日
Assert.Contains("日", GetTokensWithSpan(TokenType.Han, 1, 2));
Assert.Contains("ri", GetTokensWithSpan(TokenType.Pinyin, 1, 2));
Assert.Contains("ニチ", GetTokensWithSpan(TokenType.Kana, 1, 2));
Assert.Contains("ヒ", GetTokensWithSpan(TokenType.Kana, 1, 2));
Assert.Contains("niti", GetTokensWithSpan(TokenType.Romaji, 1, 2));
Assert.Contains("hi", GetTokensWithSpan(TokenType.Romaji, 1, 2));
// Combined reading for "今日" [0, 2] - this is an indivisible compound word
Assert.Contains("キョウ", GetTokensWithSpan(TokenType.Kana, 0, 2));
Assert.Contains("kyo", GetTokensWithSpan(TokenType.Romaji, 0, 2)); // normalized: kyou -> kyo
}
}
@@ -0,0 +1,66 @@
using MaigoLabs.NeedLe.Common;
using MaigoLabs.NeedLe.Common.Extensions;
using MaigoLabs.NeedLe.Indexer.Trie;
namespace MaigoLabs.NeedLe.Tests.Indexer;
#region GraftTriePaths
public sealed class GraftTriePaths_GraftsPathsAccordingToNormalizationRulesTest : NeedleTestBase
{
[Fact]
public void Execute()
{
// Build a trie with tokens containing normalized forms
var trie = TrieBuilder.BuildTrie([
(0, "sya".ToCodePoints()), // normalized form of "sha"
(1, "tu".ToCodePoints()), // normalized form of "tsu"
]);
// Graft paths so that "sha" -> "sya" and "tsu" -> "tu"
TrieBuilder.GraftTriePaths(trie, [
("sha".ToCodePoints().ToArray(), "sya".ToCodePoints().ToArray()),
("tsu".ToCodePoints().ToArray(), "tu".ToCodePoints().ToArray()),
]);
// Now we should be able to traverse using both the original and grafted paths
var syaNode = trie.Traverse("sya".ToCodePoints().ToArray());
var shaNode = trie.Traverse("sha".ToCodePoints().ToArray());
Assert.NotNull(syaNode);
Assert.NotNull(shaNode);
Assert.Same(syaNode, shaNode); // Both paths should lead to the same node
var tuNode = trie.Traverse("tu".ToCodePoints().ToArray());
var tsuNode = trie.Traverse("tsu".ToCodePoints().ToArray());
Assert.NotNull(tuNode);
Assert.NotNull(tsuNode);
Assert.Same(tuNode, tsuNode);
}
}
public sealed class GraftTriePaths_HandlesChainedGraftRulesTest : NeedleTestBase
{
[Fact]
public void Execute()
{
var trie = TrieBuilder.BuildTrie([
(0, "o".ToCodePoints()), // normalized vowel
]);
// Chain: "ou" -> "o", "oo" -> "o"
TrieBuilder.GraftTriePaths(trie, [
("ou".ToCodePoints().ToArray(), "o".ToCodePoints().ToArray()),
("oo".ToCodePoints().ToArray(), "o".ToCodePoints().ToArray()),
]);
var oNode = trie.Traverse("o".ToCodePoints().ToArray());
var ouNode = trie.Traverse("ou".ToCodePoints().ToArray());
var ooNode = trie.Traverse("oo".ToCodePoints().ToArray());
Assert.NotNull(oNode);
Assert.Same(oNode, ouNode);
Assert.Same(oNode, ooNode);
}
}
#endregion
@@ -0,0 +1,28 @@
<Project Sdk="Microsoft.NET.Sdk">
<PropertyGroup>
<TargetFramework>net10.0</TargetFramework>
<RootNamespace>$(ProjectName).Tests</RootNamespace>
<AssemblyName>$(RootNamespace)</AssemblyName>
<IsPackable>false</IsPackable>
</PropertyGroup>
<ItemGroup>
<PackageReference Include="coverlet.collector" />
<PackageReference Include="Microsoft.NET.Test.Sdk" />
<PackageReference Include="xunit" />
<PackageReference Include="xunit.runner.visualstudio" />
</ItemGroup>
<ItemGroup>
<ProjectReference Include="..\MaigoLabs.NeedLe.Common\MaigoLabs.NeedLe.Common.csproj" />
<ProjectReference Include="..\MaigoLabs.NeedLe.Indexer\MaigoLabs.NeedLe.Indexer.csproj" />
<ProjectReference Include="..\MaigoLabs.NeedLe.Searcher\MaigoLabs.NeedLe.Searcher.csproj" />
</ItemGroup>
<ItemGroup>
<Using Include="Xunit" />
</ItemGroup>
</Project>
@@ -0,0 +1,12 @@
using MaigoLabs.NeedLe.Indexer;
using MaigoLabs.NeedLe.Indexer.Han;
using MaigoLabs.NeedLe.Indexer.Japanese;
namespace MaigoLabs.NeedLe.Tests;
public abstract class NeedleTestBase
{
public static HanVariantProvider HanVariantProvider { get; set; } = new();
public static TranscriptionProvider TranscriptionProvider { get; set; } = new();
public static TokenizerOptions TokenizerOptions => new() { HanVariantProvider = HanVariantProvider, TranscriptionProvider = TranscriptionProvider };
}
+16
View File
@@ -0,0 +1,16 @@
<Solution>
<Configurations>
<Platform Name="Any CPU" />
<Platform Name="x64" />
<Platform Name="x86" />
</Configurations>
<Project Path="MaigoLabs.NeedLe/MaigoLabs.NeedLe.csproj" />
<Project Path="MaigoLabs.NeedLe.Common/MaigoLabs.NeedLe.Common.csproj" />
<Project Path="MaigoLabs.NeedLe.Indexer/MaigoLabs.NeedLe.Indexer.csproj" />
<Project Path="MaigoLabs.NeedLe.Searcher/MaigoLabs.NeedLe.Searcher.csproj" />
<Project Path="MaigoLabs.NeedLe.Playground/MaigoLabs.NeedLe.Playground.csproj" />
<Project Path="MaigoLabs.NeedLe.Tests/MaigoLabs.NeedLe.Tests.csproj" />
</Solution>
@@ -0,0 +1,35 @@
<Project Sdk="Microsoft.NET.Sdk">
<PropertyGroup>
<OutputType>Library</OutputType>
<RootNamespace>$(ProjectName)</RootNamespace>
<AssemblyName>$(RootNamespace)</AssemblyName>
</PropertyGroup>
<PropertyGroup>
<IsPackable>true</IsPackable>
<PackageId>$(RootNamespace)</PackageId>
<IncludeBuildOutput>false</IncludeBuildOutput>
<IncludeContentInPack>false</IncludeContentInPack>
<NoPackageAnalysis>true</NoPackageAnalysis>
<MeCabUseDefaultDictionary>False</MeCabUseDefaultDictionary>
<PackageReadmeFile></PackageReadmeFile>
</PropertyGroup>
<ItemGroup>
<ProjectReference Include="..\MaigoLabs.NeedLe.Common\MaigoLabs.NeedLe.Common.csproj" PrivateAssets="none" />
<ProjectReference Include="..\MaigoLabs.NeedLe.Indexer\MaigoLabs.NeedLe.Indexer.csproj" PrivateAssets="none" />
<ProjectReference Include="..\MaigoLabs.NeedLe.Searcher\MaigoLabs.NeedLe.Searcher.csproj" PrivateAssets="none" />
</ItemGroup>
<!-- Directly add README to package files -->
<Target Name="AddReadmeToPackage" BeforeTargets="GenerateNuspec">
<ItemGroup>
<_PackageFiles Include="..\README.md" PackagePath="/" />
</ItemGroup>
<PropertyGroup>
<PackageReadmeFile>README.md</PackageReadmeFile>
</PropertyGroup>
</Target>
</Project>
+57
View File
@@ -0,0 +1,57 @@
# `MaigoLabs.NeedLe`
Fuzzy search engine for small text pieces, with Chinese/Japanese pronunciation support.
See also [in-browser demo](https://needle.maigo.dev) (TypeScript version, but the same features as in C#).
## Install
```bash
dotnet add package MaigoLabs.NeedLe
```
Or install sub-packages separately:
```bash
dotnet add package MaigoLabs.NeedLe.Indexer # For building indexes
dotnet add package MaigoLabs.NeedLe.Searcher # For searching only
```
## Usage
### Indexing
Indexing requires dictionaries. These are installed as dependencies of the `MaigoLabs.NeedLe.Indexer` package:
* MeCab.DotNet
* OpenccNetLib
* hyjiacan.pinyin4net
```csharp
using MaigoLabs.NeedLe.Indexer;
var documents = new[] { "你好世界", "こんにちは" };
var compressedIndex = InvertedIndexBuilder.BuildInvertedIndex(documents);
// To customize dictionary paths, pass the second argument `TokenizerOptions` to `BuildInvertedIndex`.
// The built index could be stored for later use, or sent to frontend to load with TypeScript package `@maigolabs/needle`.
// For compatibility with .NET Standard, we don't provide JSON related methods. You can use any JSON library to serialize/deserialize the index in the way you prefer.
var json = JsonSerializer.Serialize(compressedIndex);
```
### Searching
Searching requires a prebuilt index but doesn't require dictionaries. Searcher is a lightweight package without dependencies.
```csharp
using MaigoLabs.NeedLe.Searcher;
// Index returned by `BuildInvertedIndex`.
var index = InvertedIndexLoader.Load(compressedIndex);
var results = InvertedIndexSearcher.Search(index, "sekai");
foreach (var result in results) Console.WriteLine($"{result.DocumentText} ({result.MatchRatio:P0})")
// → 你好世界 (50%)
```
To highlight the search result, see also `SearchResultHighlighter`.
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import tsParser from '@typescript-eslint/parser';
import tsPlugin from '@typescript-eslint/eslint-plugin';
import importPlugin from 'eslint-plugin-import';
import stylisticPlugin from '@stylistic/eslint-plugin';
import type { Linter } from 'eslint';
const commonConfig: Linter.Config = {
plugins: {
import: importPlugin,
'@typescript-eslint': tsPlugin as any,
stylistic: stylisticPlugin,
},
rules: {
'import/order': [
'error',
{
groups: ['builtin', 'external', ['internal', 'parent', 'sibling', 'index']],
pathGroups: [
{
pattern: '@proj-marina/**',
group: 'internal',
position: 'before',
},
{
pattern: '@/**',
group: 'internal',
position: 'before',
},
],
'newlines-between': 'always',
distinctGroup: false,
alphabetize: {
order: 'asc',
caseInsensitive: true,
},
},
],
'import/no-duplicates': 'error',
'@typescript-eslint/no-unused-vars': ['error', { argsIgnorePattern: '^_' }],
'prefer-const': 'error',
'no-var': 'error',
'no-debugger': 'error',
'object-shorthand': 'error',
'prefer-template': 'error',
eqeqeq: ['error', 'always', { null: 'ignore' }],
'@typescript-eslint/prefer-optional-chain': 'error',
'@typescript-eslint/prefer-nullish-coalescing': 'error',
'@typescript-eslint/return-await': ['error', 'always'],
'@typescript-eslint/no-floating-promises': 'error',
'@typescript-eslint/await-thenable': 'error',
'@typescript-eslint/no-misused-promises': ['error'],
'@typescript-eslint/prefer-as-const': 'error',
'@typescript-eslint/prefer-for-of': 'error',
'@typescript-eslint/prefer-includes': 'error',
'@typescript-eslint/prefer-string-starts-ends-with': 'error',
'@typescript-eslint/consistent-type-imports': ['error', { disallowTypeAnnotations: false }],
'stylistic/indent': ['error', 2, {
'offsetTernaryExpressions': true
}],
'stylistic/linebreak-style': ['error', 'unix'],
'stylistic/semi': ['error', 'always'],
'stylistic/quotes': ['error', 'single', {
'avoidEscape': true,
'allowTemplateLiterals': 'avoidEscape',
}],
'stylistic/comma-dangle': ['error', 'always-multiline'],
'stylistic/arrow-parens': ['error', 'as-needed'],
'stylistic/object-curly-spacing': ['error', 'always'],
'stylistic/array-bracket-spacing': ['error', 'never'],
'stylistic/space-before-function-paren': ['error', {
'anonymous': 'always',
'named': 'never',
'asyncArrow': 'always',
}],
'stylistic/space-in-parens': ['error', 'never'],
'stylistic/comma-spacing': ['error', { 'before': false, 'after': true }],
'stylistic/key-spacing': ['error', { 'beforeColon': false, 'afterColon': true }],
'stylistic/keyword-spacing': ['error'],
'stylistic/space-before-blocks': ['error', 'always'],
'stylistic/space-infix-ops': ['error'],
'stylistic/no-trailing-spaces': ['error'],
'stylistic/eol-last': ['error', 'always'],
'stylistic/no-multiple-empty-lines': ['error', { 'max': 1, 'maxEOF': 0 }],
'stylistic/brace-style': ['error', '1tbs', { 'allowSingleLine': true }],
'stylistic/object-curly-newline': ['error', {
'ObjectExpression': { 'multiline': true, 'consistent': true },
'ObjectPattern': { 'multiline': true, 'consistent': true },
'ImportDeclaration': { 'multiline': true, 'consistent': true },
'ExportDeclaration': { 'multiline': true, 'consistent': true }
}],
'stylistic/array-bracket-newline': ['error', 'consistent'],
'stylistic/function-paren-newline': ['error', 'consistent'],
'stylistic/member-delimiter-style': ['error', {
'multiline': {
'delimiter': 'semi',
'requireLast': true
},
'singleline': {
'delimiter': 'semi',
'requireLast': false
}
}],
'stylistic/type-annotation-spacing': ['error'],
'stylistic/jsx-quotes': ['error', 'prefer-double'],
},
settings: {
'import/internal-regex': '^@proj-marina/',
'import/resolver': {
typescript: {
project: ['./apps/*/tsconfig.json', './packages/*/tsconfig.json'],
noWarnOnMultipleProjects: true,
},
},
},
};
const parserOptions: Linter.ParserOptions = {
parser: tsParser,
ecmaVersion: 'latest',
sourceType: 'module',
project: ['./apps/*/tsconfig.json', './packages/*/tsconfig.json'],
noWarnOnMultipleProjects: true,
};
const config: Linter.Config[] = [
{
...commonConfig,
files: ['**/*.{ts,tsx}'],
languageOptions: {
parser: tsParser,
ecmaVersion: 'latest',
sourceType: 'module',
parserOptions,
},
},
{
ignores: [
'**/node_modules/**',
// Build output
'**/dist/**',
'**/build/**',
'**/coverage/**',
'eslint.config.ts',
'**/uno.config.ts',
'**/vite.config.ts',
'**/jest.config.ts',
'**/tsdown.config.ts',
],
},
];
export default config;
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{
"name": "@maigolabs/needle-root",
"version": "1.0.0",
"type": "module",
"scripts": {
"build:packages": "pnpm -F=\"./packages/*\" run build",
"build:demo": "pnpm -F=\"./apps/demo\" build",
"dev:demo": "pnpm -F=\"./apps/demo\" dev",
"typecheck": "pnpm -rF=\"./packages/*\" -F=\"./apps/*\" typecheck",
"test": "pnpm -rF=\"./packages/*\" -F=\"./apps/*\" test",
"test:dotnet": "cd dotnet && dotnet test",
"lint": "eslint --cache --ext .",
"lint:fix": "eslint --cache --ext . --fix"
},
"license": "AGPL-3.0",
"packageManager": "pnpm@10.20.0",
"private": true,
"devDependencies": {
"@eslint/js": "^9.39.1",
"@stylistic/eslint-plugin": "^5.5.0",
"@typescript-eslint/eslint-plugin": "^8.46.3",
"@typescript-eslint/parser": "^8.46.3",
"cross-env": "^10.1.0",
"eslint": "^9.39.1",
"eslint-import-resolver-typescript": "^4.4.4",
"eslint-plugin-import": "^2.32.0",
"jiti": "^2.6.1",
"tsdown": "^0.18.4",
"tsx": "^4.21.0",
"typescript": "^5.9.3",
"unplugin-unused": "^0.5.6"
},
"dependencies": {
"@types/node": "^24.10.0"
}
}
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../../LICENSE
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# `@maigolabs/needle`
Fuzzy search engine for small text pieces, with Chinese/Japanese pronunciation support.
See also [in-browser demo](https://needle.maigo.dev).
## Install
Dictionaries are installed as dependencies of the package, but if you don't use the indexer, they could be tree-shaken when bundling.
```bash
pnpm install @maigolabs/needle
```
## Usage
### Indexing
NeedLe uses Kuromoji for Japanese tokenization, which loads dictionaries dynamically. You need to create a Kuromoji `TokenizerBuilder` first:
```ts
// In Node.js you can just load the dictionary from the file system.
import { TokenizerBuilder } from '@patdx/kuromoji';
import NodeDictionaryLoader from '@patdx/kuromoji/node';
const kuromojiDictPath = path.resolve(url.fileURLToPath(import.meta.resolve('@patdx/kuromoji')), '..', '..', 'dict');
const kuromoji = await new TokenizerBuilder({ loader: new NodeDictionaryLoader({ dic_path: kuromojiDictPath }) }).build();
// In browser you need to provide a custom loader to load the dictionary files with fetch().
import { TokenizerBuilder } from '@patdx/kuromoji';
// You can load dict files from CDN (See also the README of https://github.com/patdx/kuromoji.js)
const kuromoji = await new TokenizerBuilder({
loader: {
loadArrayBuffer: async (url: string) => {
url = `https://cdn.jsdelivr.net/npm/@aiktb/kuromoji@1.0.2/dict/${url.replace('.gz', '')}`;
const res = await fetch(url);
if (!res.ok) throw new Error(`Failed to fetch ${url}`);
return await res.arrayBuffer();
},
},
}).build();
```
After creating the Kuromoji instance, you can build the inverted index:
```ts
import { buildInvertedIndex } from '@maigolabs/needle/indexer';
const documents = ['你好世界', 'こんにちは'];
const compressedIndex = buildInvertedIndex(documents, { kuromoji });
// The built index could be stored for later use.
const json = JSON.stringify(compressedIndex);
```
### Searching
If you only import the searcher in your frontend code, indexer and dictionary-related dependencies will be tree-shaken.
```ts
import { loadInvertedIndex, searchInvertedIndex } from '@maigolabs/needle/searcher';
const loadedIndex = loadInvertedIndex(compressedIndex);
const results = searchInvertedIndex(loadedIndex, 'sekai');
for (const result of results) console.log(`${result.documentText} (${(result.matchRatio * 100).toFixed(0)}%)`);
// → 你好世界 (50%)
```
To highlight the search result, see also `highlightSearchResult`.
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import type { Config } from 'jest';
const config: Config = {
preset: 'ts-jest/presets/default-esm',
testEnvironment: 'node',
extensionsToTreatAsEsm: ['.ts'],
moduleNameMapper: {
'^(\\.{1,2}/.*)\\.js$': '$1',
},
transform: {
'^.+\\.tsx?$': ['ts-jest', { useESM: true }],
},
testMatch: ['**/*.test.ts'],
testTimeout: 30000,
};
export default config;
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{
"name": "@maigolabs/needle",
"version": "1.0.1",
"description": "Fuzzy search engine for small text pieces, with Chinese/Japanese pronunciation support.",
"type": "module",
"main": "./src/index.ts",
"scripts": {
"build": "tsdown",
"typecheck": "tsc",
"test": "cross-env NODE_OPTIONS=--experimental-vm-modules jest",
"prepare": "pnpm run build"
},
"license": "AGPL-3.0",
"homepage": "https://needle.maigo.dev",
"repository": {
"type": "git",
"url": "git+https://github.com/MaigoLabs/needLe.git",
"directory": "packages/needle"
},
"bugs": "https://github.com/MaigoLabs/needLe/issues",
"keywords": [
"needle",
"search",
"fuzzy",
"cjk",
"chinese",
"japanese",
"pinyin",
"romaji"
],
"author": "Menci <mencici@msn.com>",
"sideEffects": false,
"exports": {
".": "./src/index.ts",
"./common": "./src/common/index.ts",
"./indexer": "./src/indexer/index.ts",
"./searcher": "./src/searcher/index.ts",
"./package.json": "./package.json"
},
"packageManager": "pnpm@10.20.0",
"dependencies": {
"@patdx/kuromoji": "^1.0.4",
"hepburn": "^1.2.2",
"opencc-js": "^1.0.5",
"pinyin-pro": "^3.27.0"
},
"devDependencies": {
"@types/hepburn": "^1.2.2",
"@types/jest": "^30.0.0",
"@types/opencc-js": "^1.0.3",
"jest": "^30.2.0",
"ts-jest": "^29.4.6"
},
"files": [
"README.md",
"dist",
"package.json"
],
"publishConfig": {
"access": "public",
"main": "./dist/index.mjs",
"module": "./dist/index.mjs",
"types": "./dist/index.d.mts",
"exports": {
".": {
"types": "./dist/index.d.mts",
"default": "./dist/index.mjs"
},
"./common": {
"types": "./dist/common/index.d.mts",
"default": "./dist/common/index.mjs"
},
"./indexer": {
"types": "./dist/indexer/index.d.mts",
"default": "./dist/indexer/index.mjs"
},
"./searcher": {
"types": "./dist/searcher/index.d.mts",
"default": "./dist/searcher/index.mjs"
},
"./package.json": "./package.json"
}
}
}
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export * from './types';
export * from './utils';
export * from './normalize';
export * from './trie';
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import { normalizeByCodePoint, toKatakana } from './normalize';
describe('toKatakana', () => {
it('should convert hiragana to katakana', () => {
expect(toKatakana('あいうえお')).toBe('アイウエオ');
expect(toKatakana('かきくけこ')).toBe('カキクケコ');
expect(toKatakana('さしすせそ')).toBe('サシスセソ');
});
it('should keep katakana unchanged', () => {
expect(toKatakana('アイウエオ')).toBe('アイウエオ');
});
it('should keep non-kana characters unchanged', () => {
expect(toKatakana('abc123')).toBe('abc123');
expect(toKatakana('漢字')).toBe('漢字');
});
it('should handle mixed input', () => {
expect(toKatakana('あアa漢')).toBe('アアa漢');
});
});
describe('normalizeByCodePoint', () => {
it('should convert fullwidth ASCII to halfwidth lowercase', () => {
expect(normalizeByCodePoint('ABC')).toBe('abc');
expect(normalizeByCodePoint('123')).toBe('123');
expect(normalizeByCodePoint('!@#')).toBe('!@#');
});
it('should convert fullwidth space to halfwidth space', () => {
expect(normalizeByCodePoint(' ')).toBe(' ');
});
it('should convert halfwidth kana to fullwidth kana', () => {
expect(normalizeByCodePoint('アイウエオ')).toBe('アイウエオ');
expect(normalizeByCodePoint('カキクケコ')).toBe('カキクケコ');
});
it('should normalize voiced/semi-voiced sound marks', () => {
expect(normalizeByCodePoint('゙')).toBe('\u3099'); // halfwidth voiced -> combining
expect(normalizeByCodePoint('゚')).toBe('\u309A'); // halfwidth semi-voiced -> combining
expect(normalizeByCodePoint('゛')).toBe('\u3099'); // fullwidth voiced -> combining
expect(normalizeByCodePoint('゜')).toBe('\u309A'); // fullwidth semi-voiced -> combining
});
it('should convert halfwidth punctuation to fullwidth', () => {
expect(normalizeByCodePoint('。')).toBe('。');
expect(normalizeByCodePoint('「')).toBe('「');
expect(normalizeByCodePoint('」')).toBe('」');
expect(normalizeByCodePoint('、')).toBe('、');
expect(normalizeByCodePoint('・')).toBe('・');
});
it('should lowercase regular ASCII', () => {
expect(normalizeByCodePoint('ABC')).toBe('abc');
});
// Should keep hiragana unchanged
});
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export const normalizeByCodePoint = (string: string) => [...string].map(normalizeCodePoint).join('');
export const normalizeCodePoint = (char: string) => {
const codePoint = char.codePointAt(0)!;
// Fullwidth ASCII -> Halfwidth ASCII
if (codePoint >= 0xFF01 && codePoint <= 0xFF5E) return String.fromCodePoint(codePoint - 0xFEE0).toLowerCase();
// Fullwidth space -> Halfwidth space
else if (codePoint === /* ' ' */ 0x3000) return ' ';
// Halfwidth kana (U+FF66 - U+FF9D) -> Fullwidth kana
else if (codePoint >= 0xFF66 && codePoint <= 0xFF9D) return HALF_TO_FULL_KANA[char] ?? char;
else if (codePoint === /* '。' */ 0xFF61) return '。';
else if (codePoint === /* '「' */ 0xFF62) return '「';
else if (codePoint === /* '」' */ 0xFF63) return '」';
else if (codePoint === /* '、' */ 0xFF64) return '、';
else if (codePoint === /* '・' */ 0xFF65) return '・';
else if (codePoint === /* '゙' */ 0xFF9E || codePoint === /* '゛' */ 0x309B) return '\u3099'; // -> COMBINING KATAKANA-HIRAGANA VOICED SOUND MARK
else if (codePoint === /* '゚' */ 0xFF9F || codePoint === /* '゜' */ 0x309C) return '\u309A'; // -> COMBINING KATAKANA-HIRAGANA SEMI-VOICED SOUND MARK
else return char.toLowerCase();
};
const HALF_TO_FULL_KANA: Record<string, string> = {
'ヲ': 'ヲ', 'ァ': 'ァ', 'ィ': 'ィ', 'ゥ': 'ゥ', 'ェ': 'ェ', 'ォ': 'ォ',
'ャ': 'ャ', 'ュ': 'ュ', 'ョ': 'ョ', 'ッ': 'ッ',
'ー': 'ー',
'ア': 'ア', 'イ': 'イ', 'ウ': 'ウ', 'エ': 'エ', 'オ': 'オ',
'カ': 'カ', 'キ': 'キ', 'ク': 'ク', 'ケ': 'ケ', 'コ': 'コ',
'サ': 'サ', 'シ': 'シ', 'ス': 'ス', 'セ': 'セ', 'ソ': 'ソ',
'タ': 'タ', 'チ': 'チ', 'ツ': 'ツ', 'テ': 'テ', 'ト': 'ト',
'ナ': 'ナ', 'ニ': 'ニ', 'ヌ': 'ヌ', 'ネ': 'ネ', 'ノ': '',
'ハ': 'ハ', 'ヒ': 'ヒ', 'フ': 'フ', 'ヘ': 'ヘ', 'ホ': 'ホ',
'マ': 'マ', 'ミ': 'ミ', 'ム': 'ム', 'メ': 'メ', 'モ': 'モ',
'ヤ': 'ヤ', 'ユ': 'ユ', 'ヨ': 'ヨ',
'ラ': 'ラ', 'リ': 'リ', 'ル': 'ル', 'レ': 'レ', 'ロ': 'ロ',
'ワ': 'ワ', 'ン': 'ン',
};
const isHiraganaRange = (charCode: number) => (charCode >= 0x3041 && charCode <= 0x3096) || (charCode >= 0x309D && charCode <= 0x309E);
export const toKatakanaSingle = (char: string) => {
const code = char.charCodeAt(0);
return isHiraganaRange(code) ? String.fromCharCode(code + 0x60) : char;
};
export const toKatakana = (string: string) => [...string].map(toKatakanaSingle).join('');
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export interface TrieNode {
parent: TrieNode | undefined;
children: Map<number, TrieNode>; // Unicode code point -> child node
tokenIds: number[];
subTreeTokenIds: number[]; // Empty on root. Will Uint16Array be faster?
}
export const traverseTrieStep = (node: TrieNode | undefined, codePoint: string, ignorableCodePoints?: RegExp) =>
node?.children.get(codePoint.codePointAt(0)!) ?? (ignorableCodePoints?.test(codePoint) ? node : undefined);
export const traverseTrie = (node: TrieNode | undefined, text: string, ignorableCodePoints?: RegExp) => {
if (!node) return;
for (const codePoint of text) {
node = traverseTrieStep(node, codePoint, ignorableCodePoints);
if (!node) return;
}
return node;
};
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export enum TokenType {
Raw,
Kana,
Romaji,
Han,
Pinyin,
}
export interface TokenDefinition {
id: number;
type: TokenType;
text: string;
codePointLength: number;
}
// [start, end)
export interface OffsetSpan {
start: number;
end: number;
}
export type CompressedInvertedIndex = {
documents: string[];
tokenTypes: TokenType[];
tokenReferences: number[][][]; // tokenId -> [documentId, start1, end1, start2, end2, ...][]
tries: {
romaji: number[];
kana: number[];
other: number[];
};
};
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import type { OffsetSpan } from './types';
export const getSpanLength = (offset: OffsetSpan) => offset.end - offset.start;
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import path from 'node:path';
import url from 'node:url';
import { TokenizerBuilder } from '@patdx/kuromoji';
import NodeDictionaryLoader from '@patdx/kuromoji/node';
import { buildInvertedIndex, type KuromojiTokenizer } from '../indexer';
import { highlightSearchResult, loadInvertedIndex, searchInvertedIndex } from '../searcher';
let kuromoji: KuromojiTokenizer;
beforeAll(async () => {
const kuromojiDictPath = path.resolve(url.fileURLToPath(import.meta.resolve('@patdx/kuromoji')), '..', '..', 'dict');
kuromoji = await new TokenizerBuilder({ loader: new NodeDictionaryLoader({ dic_path: kuromojiDictPath }) }).build();
});
describe('search', () => {
const testDocuments = [
'ミーティア',
'エンドマークに希望と涙を添えて',
'宵の鳥',
'僕の和風本当上手',
];
it('should match with mixed search query', () => {
const compressed = buildInvertedIndex(testDocuments, { kuromoji });
const invertedIndex = loadInvertedIndex(compressed);
const results = searchInvertedIndex(invertedIndex, 'bokunoh风じょう');
// Should have at least one result
expect(results.length).toBeGreaterThan(0);
// The first result should be "僕の和風本当上手"
expect(results[0]!.documentText).toBe('僕の和風本当上手');
});
it('should highlight search result correctly', () => {
const compressed = buildInvertedIndex(testDocuments, { kuromoji });
const invertedIndex = loadInvertedIndex(compressed);
const results = searchInvertedIndex(invertedIndex, 'bokunoh风じょう');
expect(results.length).toBeGreaterThan(0);
const highlighted = highlightSearchResult(results[0]!);
// Should be an array of parts
expect(Array.isArray(highlighted)).toBe(true);
expect(highlighted.length).toBeGreaterThan(0);
// Collect highlighted text
const highlightedTexts = highlighted
.filter((part): part is { highlight: string } => typeof part !== 'string')
.map(part => part.highlight);
expect(highlightedTexts.some(text => text.includes('僕'))).toBe(true);
expect(highlightedTexts.some(text => text.includes('の'))).toBe(true);
expect(highlightedTexts.some(text => text.includes('和'))).toBe(true);
expect(highlightedTexts.some(text => text.includes('風'))).toBe(true);
expect(highlightedTexts.some(text => text.includes('上'))).toBe(true);
});
it('should match romaji input to kana documents', () => {
const compressed = buildInvertedIndex(testDocuments, { kuromoji });
const invertedIndex = loadInvertedIndex(compressed);
// Search for "yoi" should match "宵の鳥"
const results = searchInvertedIndex(invertedIndex, 'yoi');
const matchedTexts = results.map(r => r.documentText);
expect(matchedTexts).toContain('宵の鳥');
});
});
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import { traverseTrie } from '../common';
import { buildTrie, serializeTrie } from '../indexer/trie';
import { deserializeTrie } from '../searcher/trie';
describe('Trie building', () => {
it('should build a Trie with multiple different tokens', () => {
const trie = buildTrie([
[0, 'hello'],
[1, 'help'],
[2, 'world'],
[3, 'word'],
]);
// Traverse to verify structure
const helloNode = traverseTrie(trie, 'hello');
const helpNode = traverseTrie(trie, 'help');
const worldNode = traverseTrie(trie, 'world');
const wordNode = traverseTrie(trie, 'word');
expect(helloNode).toBeDefined();
expect(helpNode).toBeDefined();
expect(worldNode).toBeDefined();
expect(wordNode).toBeDefined();
// Check token IDs
expect(helloNode!.tokenIds).toContain(0);
expect(helpNode!.tokenIds).toContain(1);
expect(worldNode!.tokenIds).toContain(2);
expect(wordNode!.tokenIds).toContain(3);
// Check that 'hel' prefix node has both tokens in subTree
const helNode = traverseTrie(trie, 'hel');
expect(helNode).toBeDefined();
expect(helNode!.subTreeTokenIds).toContain(0);
expect(helNode!.subTreeTokenIds).toContain(1);
});
it('should handle Japanese text tokens', () => {
const trie = buildTrie([
[0, 'さくら'],
[1, 'サクラ'],
[2, '桜'],
]);
expect(traverseTrie(trie, 'さくら')?.tokenIds).toContain(0);
expect(traverseTrie(trie, 'サクラ')?.tokenIds).toContain(1);
expect(traverseTrie(trie, '桜')?.tokenIds).toContain(2);
});
});
describe('Trie serialization and deserialization', () => {
it('should serialize and deserialize a Trie correctly', () => {
const originalTrie = buildTrie([
[0, 'apple'],
[1, 'app'],
[2, 'banana'],
]);
// Serialize
const serialized = serializeTrie(originalTrie);
expect(Array.isArray(serialized)).toBe(true);
expect(serialized.length).toBeGreaterThan(0);
// Deserialize
const { root: deserializedTrie, tokenCodePoints } = deserializeTrie(serialized);
// Verify structure is preserved
const appleNode = traverseTrie(deserializedTrie, 'apple');
const appNode = traverseTrie(deserializedTrie, 'app');
const bananaNode = traverseTrie(deserializedTrie, 'banana');
expect(appleNode).toBeDefined();
expect(appNode).toBeDefined();
expect(bananaNode).toBeDefined();
expect(appleNode!.tokenIds).toContain(0);
expect(appNode!.tokenIds).toContain(1);
expect(bananaNode!.tokenIds).toContain(2);
// Verify tokenCodePoints map
expect(tokenCodePoints.get(0)?.join('')).toBe('apple');
expect(tokenCodePoints.get(1)?.join('')).toBe('app');
expect(tokenCodePoints.get(2)?.join('')).toBe('banana');
// Verify subTreeTokenIds are reconstructed
expect(appNode!.subTreeTokenIds).toContain(0);
expect(appNode!.subTreeTokenIds).toContain(1);
});
it('should preserve parent references after deserialization', () => {
const originalTrie = buildTrie([
[0, 'test'],
]);
const serialized = serializeTrie(originalTrie);
const { root } = deserializeTrie(serialized);
const testNode = traverseTrie(root, 'test');
expect(testNode).toBeDefined();
// Walk back to root via parent references
let node = testNode;
let depth = 0;
while (node?.parent) {
node = node.parent;
depth++;
}
expect(depth).toBe(4); // 't' -> 'e' -> 's' -> 't' -> root
expect(node).toBe(root);
});
});
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export * from './common';
export * from './indexer';
export * from './searcher';
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import { getHanVariants, getPinyinCandidates, isHanCharacter, unionFindSet } from './han';
describe('unionFindSet', () => {
it('should find self as root initially', () => {
const ufs = unionFindSet<number>();
expect(ufs.find(1)).toBe(1);
expect(ufs.find(2)).toBe(2);
});
it('should union two elements', () => {
const ufs = unionFindSet<number>();
ufs.union(1, 2);
expect(ufs.find(1)).toBe(ufs.find(2));
});
it('should union multiple elements transitively', () => {
const ufs = unionFindSet<number>();
ufs.union(1, 2);
ufs.union(2, 3);
ufs.union(4, 5);
expect(ufs.find(1)).toBe(ufs.find(3));
expect(ufs.find(1)).not.toBe(ufs.find(4));
ufs.union(3, 4);
expect(ufs.find(1)).toBe(ufs.find(5));
});
it('should iterate all keys', () => {
const ufs = unionFindSet<string>();
ufs.union('a', 'b');
ufs.union('c', 'd');
const keys = [...ufs.keys()];
expect(keys).toContain('a');
expect(keys).toContain('b');
expect(keys).toContain('c');
expect(keys).toContain('d');
});
});
describe('isHanCharacter', () => {
it('should return true for CJK characters', () => {
expect(isHanCharacter('中')).toBe(true);
expect(isHanCharacter('国')).toBe(true);
expect(isHanCharacter('日')).toBe(true);
expect(isHanCharacter('本')).toBe(true);
});
it('should return false for non-CJK characters', () => {
expect(isHanCharacter('a')).toBe(false);
expect(isHanCharacter('あ')).toBe(false);
expect(isHanCharacter('ア')).toBe(false);
expect(isHanCharacter('1')).toBe(false);
});
});
describe('getHanVariants', () => {
it('should return variants for simplified/traditional characters', () => {
// 国 (simplified) and 國 (traditional) should be variants of each other
const variants1 = getHanVariants('国');
const variants2 = getHanVariants('國');
expect(variants1).toContain('国');
expect(variants1).toContain('國');
expect(variants2).toContain('国');
expect(variants2).toContain('國');
});
it('should return the character itself for characters without variants', () => {
const variants = getHanVariants('一');
expect(variants).toContain('一');
});
it('should return empty array for non-Han characters', () => {
expect(getHanVariants('a')).toEqual([]);
expect(getHanVariants('あ')).toEqual([]);
});
});
describe('getPinyinCandidates', () => {
it('should return pinyin for a Han character', () => {
const candidates = getPinyinCandidates('中');
expect(candidates).toContain('zhong');
expect(candidates).toContain('zh'); // initial
expect(candidates).toContain('z'); // first letter
});
it('should return multiple pinyin for polyphonic characters', () => {
// 行 can be "xing" or "hang"
const candidates = getPinyinCandidates('行');
expect(candidates).toContain('xing');
expect(candidates).toContain('hang');
});
it('should include fuzzy pinyin variants', () => {
// 风 is "feng", should also have fuzzy variant "fen"
const candidates = getPinyinCandidates('风');
expect(candidates).toContain('feng');
expect(candidates).toContain('fen'); // fuzzy: eng -> en
});
it('should return empty array for non-Han characters', () => {
expect(getPinyinCandidates('a')).toEqual([]);
expect(getPinyinCandidates('あ')).toEqual([]);
});
});
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// @ts-expect-error No declaration file
import hkVariants from 'opencc-js/dict/HKVariants';
// @ts-expect-error No declaration file
import hkVariantsRev from 'opencc-js/dict/HKVariantsRev';
// @ts-expect-error No declaration file
import jpVariants from 'opencc-js/dict/JPVariants';
// @ts-expect-error No declaration file
import jpVariantsRev from 'opencc-js/dict/JPVariantsRev';
// @ts-expect-error No declaration file
import stCharacters from 'opencc-js/dict/STCharacters';
// @ts-expect-error No declaration file
import tsCharacters from 'opencc-js/dict/TSCharacters';
// @ts-expect-error No declaration file
import twVariants from 'opencc-js/dict/TWVariants';
// @ts-expect-error No declaration file
import twVariantsRev from 'opencc-js/dict/TWVariantsRev';
import { polyphonic } from 'pinyin-pro';
export const unionFindSet = <T>() => {
const parent = new Map<T, T>();
const rank = new Map<T, number>();
const find = (x: T): T => {
const p = parent.get(x);
if (p == null) {
parent.set(x, x);
return x;
} else if (p === x) return x;
else {
const root = find(p);
parent.set(x, root);
return root;
}
};
const union = (x: T, y: T) => {
x = find(x);
y = find(y);
if (x === y) return;
const rankX = rank.get(x) ?? 0, rankY = rank.get(y) ?? 0;
if (rankX < rankY) parent.set(x, y);
else if (rankX > rankY) parent.set(y, x);
else {
parent.set(y, x);
rank.set(x, rankX + 1);
}
};
const keys = () => parent.keys();
return { find, union, keys };
};
const exchangeMap = (() => {
const ufs = unionFindSet<string>();
for (const dict of [hkVariants, hkVariantsRev, jpVariants, jpVariantsRev, stCharacters, tsCharacters, twVariants, twVariantsRev] as string[]) {
for (const [from, to] of dict.split('|').map(pair => pair.split(' '))) {
if (!from || !to || [...from].length !== 1 || [...to].length !== 1) continue;
ufs.union(from, to);
}
}
const map = new Map<string, string[]>();
for (const key of ufs.keys()) {
const root = ufs.find(key);
let list = map.get(root);
if (!list) map.set(root, list = []);
if (key !== root) map.set(key, list);
list.push(key);
}
for (const list of map.values()) list.sort();
return map;
})();
export const isHanCharacter = (phrase: string) => /^[\p{Script=Han}]+$/u.test(phrase);
export const getHanVariants = (character: string) => exchangeMap.get(character) ?? (isHanCharacter(character) ? [character] : []);
const PINYIN_INITIALS: string[] = ['b', 'p', 'm', 'f', 'd', 't', 'n', 'l', 'g', 'k', 'h', 'j', 'q', 'x', 'zh', 'ch', 'sh', 'r', 'z', 'c', 's', 'y', 'w'];
const PINYIN_FINALS_FUZZY_MAP: Record<string, string> = { 'ang': 'an', 'eng': 'en', 'ing': 'in' };
export const getPinyinCandidates = (character: string) => {
const pinyins = polyphonic(character, { type: 'array', toneType: 'none', removeNonZh: true })[0] ?? [];
return Array.from(new Set(pinyins.filter(fullPinyin => fullPinyin).flatMap(fullPinyin => {
const initial = PINYIN_INITIALS.find(initial => fullPinyin.startsWith(initial));
const initialAlphabet = initial?.[0] ?? fullPinyin[0]!;
const fuzzySuffix = fullPinyin.slice(-3);
const fuzzyPinyin = fuzzySuffix in PINYIN_FINALS_FUZZY_MAP ? fullPinyin.slice(0, -3) + PINYIN_FINALS_FUZZY_MAP[fuzzySuffix] : undefined;
return [fullPinyin, initial, initialAlphabet, fuzzyPinyin].filter((s): s is string => !!s);
})));
};
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export * from './han';
export * from './japanese';
export * from './tokenizer';
export * from './trie';
export * from './inverted-index';
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import { NORMALIZE_RULES_KANA_DAKUTEN, NORMALIZE_RULES_ROMAJI } from './japanese';
import { createTokenizer, type TokenizerOptions } from './tokenizer';
import { buildTrie, graftTriePaths, serializeTrie } from './trie';
import type { CompressedInvertedIndex, TokenDefinition } from '../common/types';
import { TokenType } from '../common/types';
const buildTypedTrie = (tokens: TokenDefinition[], typePredicate: (tokenType: TokenType) => boolean) =>
buildTrie(tokens.filter(token => typePredicate(token.type)).map(token => [token.id, token.text]));
export const buildInvertedIndex = (documents: string[], tokenizerOptions: TokenizerOptions) => {
const tokenizer = createTokenizer(tokenizerOptions);
const documentTokens = documents.map(document => tokenizer.tokenize(document));
const tokenDefinitions = [...tokenizer.tokens.values()];
const romajiRoot = buildTypedTrie(tokenDefinitions, type => type === TokenType.Romaji);
const kanaRoot = buildTypedTrie(tokenDefinitions, type => type === TokenType.Kana);
const otherRoot = buildTypedTrie(tokenDefinitions, type => type !== TokenType.Romaji && type !== TokenType.Kana);
graftTriePaths(romajiRoot, NORMALIZE_RULES_ROMAJI);
graftTriePaths(kanaRoot, NORMALIZE_RULES_KANA_DAKUTEN);
const invertedIndex: CompressedInvertedIndex = {
documents,
tokenTypes: tokenDefinitions.map(token => token.type),
tokenReferences: Array.from({ length: tokenDefinitions.length }, () => []),
tries: {
romaji: serializeTrie(romajiRoot),
kana: serializeTrie(kanaRoot),
other: serializeTrie(otherRoot),
},
};
for (const [documentId, tokens] of documentTokens.entries()) {
const tokenOccurrences = new Map<number, number[]>();
for (const token of tokens) {
let occurrences = tokenOccurrences.get(token.id);
if (!occurrences) {
occurrences = [];
tokenOccurrences.set(token.id, occurrences);
}
occurrences.push(token.start, token.end);
}
for (const [tokenId, occurrences] of tokenOccurrences) {
invertedIndex.tokenReferences[tokenId]!.push([documentId, ...occurrences]);
}
}
return invertedIndex;
};
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import path from 'node:path';
import url from 'node:url';
import { TokenizerBuilder } from '@patdx/kuromoji';
import NodeDictionaryLoader from '@patdx/kuromoji/node';
import { getAllKanaReadings, toRomajiStrictly } from './japanese';
import type { KuromojiTokenizer } from './tokenizer';
let kuromoji: KuromojiTokenizer;
beforeAll(async () => {
const kuromojiDictPath = path.resolve(url.fileURLToPath(import.meta.resolve('@patdx/kuromoji')), '..', '..', 'dict');
kuromoji = await new TokenizerBuilder({ loader: new NodeDictionaryLoader({ dic_path: kuromojiDictPath }) }).build();
});
describe('toRomajiStrictly', () => {
it('should convert basic kana to romaji', () => {
expect(toRomajiStrictly('あ')).toBe('a');
expect(toRomajiStrictly('か')).toBe('ka');
expect(toRomajiStrictly('さくら')).toBe('sakura');
});
it('should convert katakana to romaji', () => {
expect(toRomajiStrictly('ア')).toBe('a');
expect(toRomajiStrictly('カ')).toBe('ka');
expect(toRomajiStrictly('サクラ')).toBe('sakura');
});
it('should handle long vowels', () => {
expect(toRomajiStrictly('おう')).toBe('ou');
expect(toRomajiStrictly('おお')).toBe('oo');
});
it('should return empty string for invalid first character', () => {
expect(toRomajiStrictly('ー')).toBe(''); // prolonged sound mark cannot be first
expect(toRomajiStrictly('ゃ')).toBe(''); // small ya cannot be first
});
it('should return empty string for invalid last character', () => {
expect(toRomajiStrictly('っ')).toBe(''); // small tsu cannot be last
});
it('should handle gemination (small tsu)', () => {
expect(toRomajiStrictly('かった')).toBe('katta');
});
});
describe('getAllKanaReadings', () => {
it('should return katakana reading for pure kana input', () => {
const readings = getAllKanaReadings(kuromoji, 'あ');
expect(readings).toContain('ア');
});
it('should return readings for kanji', () => {
const readings = getAllKanaReadings(kuromoji, '僕');
expect(readings.length).toBeGreaterThan(0);
// 僕 should have reading ボク
expect(readings).toContain('ボク');
});
it('should return readings for compound words', () => {
const readings = getAllKanaReadings(kuromoji, '和風');
expect(readings.length).toBeGreaterThan(0);
});
});
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import { fromKana } from 'hepburn';
import type { KuromojiTokenizer } from './tokenizer';
import { toKatakana } from '../common';
// We have normalized all other sound marks to \u3099 and \u309A (combining kata-hiragana voiced/semi-voiced sound marks)
export const isMaybeJapanese = (phrase: string) => /^[\p{Script=Han}\u3041-\u309F\u30A0-\u30FF\u3005\u3006\u30FC\u3099\u309A]+$/u.test(phrase);
// See also normalize.ts
export const isJapaneseSoundMark = (phrase: string) => /^[\u3099\u309A]+$/.test(phrase);
export const stripJapaneseSoundMarks = (phrase: string) => phrase.replaceAll('\u3099', '').replaceAll('\u309A', '');
export const isKanaSingle = (char: string) => {
const code = char.charCodeAt(0);
return (code >= 0x3041 && code <= 0x309F) || (code >= 0x30A0 && code <= 0x30FF);
};
export const isKana = (phrase: string) => [...phrase].every(isKanaSingle);
const KANAS_CANNOT_BE_FIRST = [
'ァ', 'ィ', 'ゥ', 'ェ', 'ォ',
'ぁ', 'ぃ', 'ぅ', 'ぇ', 'ぉ',
'ャ', 'ュ', 'ョ',
'ゃ', 'ゅ', 'ょ',
'ヮ', 'ゎ',
'ㇰ', 'ㇱ', 'ㇲ', 'ㇳ', 'ㇴ', 'ㇵ', 'ㇶ', 'ㇷ', 'ㇸ', 'ㇹ', 'ㇺ', 'ㇻ', 'ㇼ', 'ㇽ', 'ㇾ', 'ㇿ',
'ー',
];
const KANAS_CANNOT_BE_LAST = [
'ッ', 'っ',
];
export const toRomajiStrictly = (kana: string) => {
if (KANAS_CANNOT_BE_FIRST.includes(kana[0]!)) return '';
if (KANAS_CANNOT_BE_LAST.includes(kana[kana.length - 1]!)) return '';
const romaji = fromKana(kana).toLowerCase()
.replaceAll('ā', 'aa')
.replaceAll('ī', 'ii')
.replaceAll('ū', 'uu')
.replaceAll('ē', 'ee')
.replaceAll('ō', 'ou');
if (!romaji.match(/^[a-z]+$/)) return '';
return romaji;
};
export const createTranscriptionEnumerator = (
isValidPhrase: (codePoints: string[], start: number, length: number) => boolean,
getAllTranscriptions: (phrase: string) => string[],
) => (codePoints: string[]) => {
const toKey = (start: number, length: number) => `${start}:${length}`;
const resultMap = new Map<string, { start: number; length: number; transcriptions: string[] }>();
for (let phraseLength = 1; phraseLength <= codePoints.length; phraseLength++) for (let start = 0; start + phraseLength <= codePoints.length; start++) {
if (!isValidPhrase(codePoints, start, phraseLength)) continue;
const phrase = codePoints.slice(start, start + phraseLength).join('');
const atomicTranscriptions = [...new Set(getAllTranscriptions(phrase))].filter(candidateTranscription => {
if (!candidateTranscription) return false;
// Ensure the transcription is atomic (not a combination of multiple shorter transcriptions, separated by any midpoints)
type State = { phrasePosition: number; transcriptionPosition: number };
const toStateKey = (state: State) => `${state.phrasePosition}:${state.transcriptionPosition}`;
const visitedStates = new Set<string>();
const queue: State[] = [{ phrasePosition: 0, transcriptionPosition: 0 }];
while (queue.length > 0) {
const { phrasePosition, transcriptionPosition } = queue.shift()!;
for (let prefixLength = 1; prefixLength <= phraseLength - phrasePosition; prefixLength++) {
const prefixResult = resultMap.get(toKey(start + phrasePosition, prefixLength));
if (!prefixResult) continue;
for (const transcription of prefixResult.transcriptions) {
if (candidateTranscription.slice(transcriptionPosition, transcriptionPosition + transcription.length) === transcription) {
const nextState: State = { phrasePosition: phrasePosition + prefixLength, transcriptionPosition: transcriptionPosition + transcription.length };
if (nextState.phrasePosition === phraseLength && nextState.transcriptionPosition === candidateTranscription.length) return false; // Found a valid combination
if (visitedStates.has(toStateKey(nextState))) continue;
visitedStates.add(toStateKey(nextState));
queue.push(nextState);
}
}
}
}
return true;
});
if (atomicTranscriptions.length > 0) resultMap.set(toKey(start, phraseLength), { start, length: phraseLength, transcriptions: atomicTranscriptions });
}
return [...resultMap.values()];
};
export const getAllKanaReadings = (kuromoji: KuromojiTokenizer, phrase: string) => Array.from(new Set(
[
...isKana(phrase) ? [toKatakana(phrase)] : [],
...isKana(phrase) && [...phrase].length === 1 ? [] : ((kuromoji.token_info_dictionary.target_map[kuromoji.viterbi_builder.trie.lookup(phrase)] ?? [])
.map(id => kuromoji.formatter.formatEntry(
id, 0, 'KNOWN',
kuromoji.token_info_dictionary.getFeatures(id as unknown as string)?.split(',') ?? [],
).reading)
.filter((reading): reading is string => !!reading))
.map(toKatakana),
],
));
const createNormalizer = (rules: Record<string, string>) => (text: string) => {
while (true) {
const beforeCurrentIteration = text;
for (const [from, to] of Object.entries(rules)) text = text.replaceAll(from, to);
if (text === beforeCurrentIteration) break;
}
return text;
};
export const NORMALIZE_RULES_ROMAJI: Record<string, string> = {
// Remove all long vowels (sa-ba- -> saba)
'-': '',
// Collapse consecutive vowels
'aa': 'a',
'ii': 'i',
'uu': 'u',
'ee': 'e',
'oo': 'o',
'ou': 'o',
// mb/mp/mm -> nb/np/nm (shimbun -> shinbun)
'mb': 'nb',
'mp': 'np',
'mm': 'nm',
// Others
'sha': 'sya',
'tsu': 'tu',
'chi': 'ti',
'shi': 'si',
'ji': 'zi',
};
export const normalizeRomaji = createNormalizer(NORMALIZE_RULES_ROMAJI);
export const NORMALIZE_RULES_KANA_DAKUTEN: Record<string, string> = {
'う\u3099': 'ゔ',
'か\u3099': 'が', 'き\u3099': 'ぎ', 'く\u3099': 'ぐ', 'け\u3099': 'げ', 'こ\u3099': 'ご',
'さ\u3099': 'ざ', 'し\u3099': 'じ', 'す\u3099': 'ず', 'せ\u3099': 'ぜ', 'そ\u3099': 'ぞ',
'た\u3099': 'だ', 'ち\u3099': 'ぢ', 'つ\u3099': 'づ', 'て\u3099': 'で', 'と\u3099': 'ど',
'は\u3099': 'ば', 'ひ\u3099': 'び', 'ふ\u3099': 'ぶ', 'へ\u3099': 'べ', 'ほ\u3099': 'ぼ',
'は\u309A': 'ぱ', 'ひ\u309A': 'ぴ', 'ふ\u309A': 'ぷ', 'へ\u309A': 'ぺ', 'ほ\u309A': 'ぽ',
'ゝ\u3099': 'ゞ',
'ウ\u3099': 'ヴ',
'カ\u3099': 'ガ', 'キ\u3099': 'ギ', 'ク\u3099': 'グ', 'ケ\u3099': 'ゲ', 'コ\u3099': 'ゴ',
'サ\u3099': 'ザ', 'シ\u3099': 'ジ', 'ス\u3099': 'ズ', 'セ\u3099': 'ゼ', 'ソ\u3099': 'ゾ',
'タ\u3099': 'ダ', 'チ\u3099': 'ヂ', 'ツ\u3099': 'ヅ', 'テ\u3099': 'デ', 'ト\u3099': 'ド',
'ハ\u3099': 'バ', 'ヒ\u3099': 'ビ', 'フ\u3099': 'ブ', 'ヘ\u3099': 'ベ', 'ホ\u3099': 'ボ',
'ハ\u309A': 'パ', 'ヒ\u309A': 'ピ', 'フ\u309A': 'プ', 'ヘ\u309A': 'ペ', 'ホ\u309A': 'ポ',
'ワ\u3099': 'ヷ', 'ヰ\u3099': 'ヸ', 'ヱ\u3099': 'ヹ', 'ヲ\u3099': 'ヺ',
'ヽ\u3099': 'ヾ',
};
export const normalizeKanaDakuten = createNormalizer(NORMALIZE_RULES_KANA_DAKUTEN);
const isValidJapanesePhrase = (codePoints: string[], start: number, length: number) =>
// Skip splittings that cause sound marks to occur in the first position of a phrase
!isJapaneseSoundMark(codePoints[start]!) && (start + length === codePoints.length || !isJapaneseSoundMark(codePoints[start + length]!));
export const createKanaTranscriptionEnumerator = (kuromoji: KuromojiTokenizer) => createTranscriptionEnumerator(
isValidJapanesePhrase,
phrase => getAllKanaReadings(kuromoji, stripJapaneseSoundMarks(normalizeKanaDakuten(phrase))),
);
export const createRomajiTranscriptionEnumerator = (kuromoji: KuromojiTokenizer) => createTranscriptionEnumerator(
isValidJapanesePhrase,
phrase => getAllKanaReadings(kuromoji, stripJapaneseSoundMarks(normalizeKanaDakuten(phrase))).map(kana => normalizeRomaji(toRomajiStrictly(kana))),
);
@@ -0,0 +1,166 @@
import path from 'node:path';
import url from 'node:url';
import { TokenizerBuilder } from '@patdx/kuromoji';
import NodeDictionaryLoader from '@patdx/kuromoji/node';
import { createTokenizer, type KuromojiTokenizer } from './tokenizer';
import { TokenType } from '../common/types';
let kuromoji: KuromojiTokenizer;
beforeAll(async () => {
const kuromojiDictPath = path.resolve(url.fileURLToPath(import.meta.resolve('@patdx/kuromoji')), '..', '..', 'dict');
kuromoji = await new TokenizerBuilder({ loader: new NodeDictionaryLoader({ dic_path: kuromojiDictPath }) }).build();
});
describe('tokenizer', () => {
it('should tokenize mixed Japanese text', () => {
const tokenizer = createTokenizer({ kuromoji });
const tokens = tokenizer.tokenize('僕の和風本当上手');
// Get all token definitions
const tokenDefs = [...tokenizer.tokens.values()];
// Should have tokens of various types
const types = new Set(tokenDefs.map(t => t.type));
expect(types.has(TokenType.Han)).toBe(true);
expect(types.has(TokenType.Pinyin)).toBe(true);
expect(types.has(TokenType.Kana)).toBe(true);
expect(types.has(TokenType.Romaji)).toBe(true);
const getTokenTextsAt = (pos: number, type: TokenType) => tokens
.filter(t => t.start <= pos && t.end > pos && tokenDefs.find(d => d.id === t.id)?.type === type)
.map(t => tokenDefs.find(d => d.id === t.id)!.text);
// Position 0: 僕
expect(getTokenTextsAt(0, TokenType.Han)).toContain('僕');
expect(getTokenTextsAt(0, TokenType.Pinyin)).toContain('pu');
expect(getTokenTextsAt(0, TokenType.Kana)).toContain('ボク');
expect(getTokenTextsAt(0, TokenType.Romaji)).toContain('boku');
// Position 1: の (hiragana, no Han/Pinyin)
expect(getTokenTextsAt(1, TokenType.Han)).toEqual([]);
expect(getTokenTextsAt(1, TokenType.Pinyin)).toEqual([]);
expect(getTokenTextsAt(1, TokenType.Kana)).toContain('');
expect(getTokenTextsAt(1, TokenType.Romaji)).toContain('no');
// Position 2: 和
expect(getTokenTextsAt(2, TokenType.Han)).toContain('和');
expect(getTokenTextsAt(2, TokenType.Pinyin)).toContain('he');
expect(getTokenTextsAt(2, TokenType.Kana)).toContain('ワ');
expect(getTokenTextsAt(2, TokenType.Romaji)).toContain('wa');
// Position 3: 風
expect(getTokenTextsAt(3, TokenType.Han)).toContain('風');
expect(getTokenTextsAt(3, TokenType.Han)).toContain('风'); // simplified variant
expect(getTokenTextsAt(3, TokenType.Pinyin)).toContain('feng');
expect(getTokenTextsAt(3, TokenType.Kana)).toContain('フウ');
expect(getTokenTextsAt(3, TokenType.Romaji)).toContain('fu');
// Position 4: 本
expect(getTokenTextsAt(4, TokenType.Han)).toContain('本');
expect(getTokenTextsAt(4, TokenType.Pinyin)).toContain('ben');
expect(getTokenTextsAt(4, TokenType.Kana)).toContain('ホン');
expect(getTokenTextsAt(4, TokenType.Romaji)).toContain('hon');
// Position 5: 当
expect(getTokenTextsAt(5, TokenType.Han)).toContain('当');
expect(getTokenTextsAt(5, TokenType.Han)).toContain('當'); // traditional variant
expect(getTokenTextsAt(5, TokenType.Pinyin)).toContain('dang');
expect(getTokenTextsAt(5, TokenType.Kana)).toContain('トウ');
expect(getTokenTextsAt(5, TokenType.Romaji)).toContain('to'); // normalized: tou -> to
// Position 6: 上
expect(getTokenTextsAt(6, TokenType.Han)).toContain('上');
expect(getTokenTextsAt(6, TokenType.Pinyin)).toContain('shang');
expect(getTokenTextsAt(6, TokenType.Kana)).toContain('ジョウ');
expect(getTokenTextsAt(6, TokenType.Romaji)).toContain('jo'); // normalized: jou -> jo
// Position 7: 手
expect(getTokenTextsAt(7, TokenType.Han)).toContain('手');
expect(getTokenTextsAt(7, TokenType.Pinyin)).toContain('shou');
expect(getTokenTextsAt(7, TokenType.Kana)).toContain('シュ');
expect(getTokenTextsAt(7, TokenType.Romaji)).toContain('shu');
// Check that tokens cover the entire input
expect(tokens.length).toBeGreaterThan(0);
// Check some specific token definitions exist
const hanTokenTexts = tokenDefs.filter(t => t.type === TokenType.Han).map(t => t.text);
expect(hanTokenTexts).toContain('僕');
expect(hanTokenTexts).toContain('和');
expect(hanTokenTexts).toContain('風');
// Check kana readings exist for kanji
const kanaTokenTexts = tokenDefs.filter(t => t.type === TokenType.Kana).map(t => t.text);
expect(kanaTokenTexts).toContain('ボク'); // 僕 -> ボク
// Check romaji readings exist
const romajiTokenTexts = tokenDefs.filter(t => t.type === TokenType.Romaji).map(t => t.text);
expect(romajiTokenTexts).toContain('boku'); // 僕 -> boku
});
it('should not create duplicate tokens when tokenizing multiple documents', () => {
const tokenizer = createTokenizer({ kuromoji });
// Tokenize multiple music names that share some characters
tokenizer.tokenize('僕の和風本当上手');
tokenizer.tokenize('僕');
tokenizer.tokenize('和風');
// Check that there are no duplicate tokens
const tokenDefs = [...tokenizer.tokens.values()];
const tokenKeys = tokenDefs.map(t => `${t.type}:${t.text}`);
const uniqueKeys = new Set(tokenKeys);
expect(tokenKeys.length).toBe(uniqueKeys.size);
// Also check that IDs are unique
const ids = tokenDefs.map(t => t.id);
const uniqueIds = new Set(ids);
expect(ids.length).toBe(uniqueIds.size);
});
it('should handle Raw tokens for non-CJK characters', () => {
const tokenizer = createTokenizer({ kuromoji });
tokenizer.tokenize('a-b');
const tokenDefs = [...tokenizer.tokens.values()];
const rawTokenTexts = tokenDefs.filter(t => t.type === TokenType.Raw).map(t => t.text);
expect(rawTokenTexts).toContain('a'); // normalized to lowercase
expect(rawTokenTexts).toContain('-');
expect(rawTokenTexts).toContain('b');
});
it('should tokenize compound word "今日" with both individual and combined readings', () => {
const tokenizer = createTokenizer({ kuromoji });
const tokens = tokenizer.tokenize('今日');
const tokenDefs = [...tokenizer.tokens.values()];
const getTokensWithSpan = (type: TokenType, start: number, end: number) => tokens
.filter(t => t.start === start && t.end === end && tokenDefs.find(d => d.id === t.id)?.type === type)
.map(t => tokenDefs.find(d => d.id === t.id)!.text);
// Individual character readings at position 0: 今
expect(getTokensWithSpan(TokenType.Han, 0, 1)).toContain('今');
expect(getTokensWithSpan(TokenType.Pinyin, 0, 1)).toContain('jin');
expect(getTokensWithSpan(TokenType.Kana, 0, 1)).toContain('コン');
expect(getTokensWithSpan(TokenType.Kana, 0, 1)).toContain('イマ');
expect(getTokensWithSpan(TokenType.Romaji, 0, 1)).toContain('kon');
expect(getTokensWithSpan(TokenType.Romaji, 0, 1)).toContain('ima');
// Individual character readings at position 1: 日
expect(getTokensWithSpan(TokenType.Han, 1, 2)).toContain('日');
expect(getTokensWithSpan(TokenType.Pinyin, 1, 2)).toContain('ri');
expect(getTokensWithSpan(TokenType.Kana, 1, 2)).toContain('ニチ');
expect(getTokensWithSpan(TokenType.Kana, 1, 2)).toContain('ヒ');
expect(getTokensWithSpan(TokenType.Romaji, 1, 2)).toContain('niti');
expect(getTokensWithSpan(TokenType.Romaji, 1, 2)).toContain('hi');
// Combined reading for "今日" [0, 2] - this is an indivisible compound word
expect(getTokensWithSpan(TokenType.Kana, 0, 2)).toContain('キョウ');
expect(getTokensWithSpan(TokenType.Romaji, 0, 2)).toContain('kyo'); // normalized: kyou -> kyo
});
});
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import type { TokenizerBuilder } from '@patdx/kuromoji';
import { getHanVariants, getPinyinCandidates } from './han';
import { createKanaTranscriptionEnumerator, createRomajiTranscriptionEnumerator, isMaybeJapanese } from './japanese';
import { normalizeByCodePoint } from '../common/normalize';
import { TokenType, type TokenDefinition } from '../common/types';
export interface Token {
id: number;
start: number;
end: number;
}
export type KuromojiTokenizer = Awaited<ReturnType<TokenizerBuilder['build']>>;
export interface TokenizerOptions {
kuromoji: KuromojiTokenizer;
}
export const createTokenizer = (options: TokenizerOptions) => {
const tokens = new Map<string, TokenDefinition>();
let nextId = 0;
const ensureToken = (type: TokenType, text: string) => {
const key = `${type}:${text}`;
let tokenDefinition = tokens.get(key);
if (tokenDefinition) return tokenDefinition;
tokenDefinition = { id: nextId++, type, text, codePointLength: [...text].length };
tokens.set(key, tokenDefinition);
return tokenDefinition;
};
const enumerateAllKanaCombinations = createKanaTranscriptionEnumerator(options.kuromoji);
const enumerateAllRomajiCombinations = createRomajiTranscriptionEnumerator(options.kuromoji);
const tokenize = (text: string) => {
const results: Token[] = [];
const emitter = (start: number, end: number) => (type: TokenType, text: string) => results.push({ id: ensureToken(type, text).id, start, end });
const emitMaybeJapanese = (codePoints: string[], offset: number) => {
for (const { start, length, transcriptions } of enumerateAllKanaCombinations(codePoints)) {
const emit = emitter(offset + start, offset + start + length);
for (const transcription of transcriptions) emit(TokenType.Kana, transcription);
}
for (const { start, length, transcriptions } of enumerateAllRomajiCombinations(codePoints)) {
const emit = emitter(offset + start, offset + start + length);
for (const transcription of transcriptions) emit(TokenType.Romaji, transcription);
}
for (let i = 0; i < codePoints.length; i++) {
// Single character may have not only kana readings, but also Chinese pronunciations or Simplified/Traditional/Japanese variants.
const character = codePoints[i]!;
const hanAlternates = getHanVariants(character); // All possible variant characters (Simplified/Traditional/Japanese)
const pinyinAlternates = Array.from(new Set(hanAlternates.flatMap(han => getPinyinCandidates(han)))); // All possible pinyin candidates
const emit = emitter(offset + i, offset + i + 1);
for (const han of hanAlternates) emit(TokenType.Han, han);
for (const pinyin of pinyinAlternates) emit(TokenType.Pinyin, pinyin);
}
};
const emitRaw = (codePoint: string, offset: number) => emitter(offset, offset + 1)(TokenType.Raw, codePoint);
const codePoints = [...normalizeByCodePoint(text)];
for (let start = 0; start < codePoints.length;) {
const codePoint = codePoints[start]!;
const consequentCharsets = [
{ is: isMaybeJapanese, emit: emitMaybeJapanese },
];
let emitted = false;
for (const { is, emit } of consequentCharsets) {
let length = 0;
while (start + length < codePoints.length && is(codePoints[start + length]!)) length++;
if (length > 0) {
emit(codePoints.slice(start, start + length), start);
start += length;
emitted = true;
break;
}
}
if (emitted) continue;
// Skip whitespaces
if (/\s/.test(codePoint)) {
start++;
continue;
}
emitRaw(codePoint, start);
start++;
}
return results;
};
return {
tokens,
tokenize,
};
};
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import { traverseTrie } from '../common';
import { buildTrie, graftTriePaths } from './trie';
describe('graftTriePaths', () => {
it('should graft paths according to normalization rules', () => {
// Build a trie with tokens containing normalized forms
const trie = buildTrie([
[0, 'sya'], // normalized form of "sha"
[1, 'tu'], // normalized form of "tsu"
]);
// Graft paths so that "sha" -> "sya" and "tsu" -> "tu"
graftTriePaths(trie, {
sha: 'sya',
tsu: 'tu',
});
// Now we should be able to traverse using both the original and grafted paths
const syaNode = traverseTrie(trie, 'sya');
const shaNode = traverseTrie(trie, 'sha');
expect(syaNode).toBeDefined();
expect(shaNode).toBeDefined();
expect(syaNode).toBe(shaNode); // Both paths should lead to the same node
const tuNode = traverseTrie(trie, 'tu');
const tsuNode = traverseTrie(trie, 'tsu');
expect(tuNode).toBeDefined();
expect(tsuNode).toBeDefined();
expect(tuNode).toBe(tsuNode);
});
it('should handle chained graft rules', () => {
const trie = buildTrie([
[0, 'o'], // normalized vowel
]);
// Chain: "ou" -> "o", "oo" -> "o"
graftTriePaths(trie, {
ou: 'o',
oo: 'o',
});
const oNode = traverseTrie(trie, 'o');
const ouNode = traverseTrie(trie, 'ou');
const ooNode = traverseTrie(trie, 'oo');
expect(oNode).toBeDefined();
expect(ouNode).toBe(oNode);
expect(ooNode).toBe(oNode);
});
});
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import { traverseTrie, type TrieNode } from '../common';
const newNode = (parent?: TrieNode): TrieNode => ({ parent, children: new Map(), tokenIds: [], subTreeTokenIds: [] });
// Assume tokens are unique.
export const buildTrie = (tokens: [id: number, text: string][]) => {
const root = newNode(undefined);
for (const [id, text] of tokens) {
let node = root;
for (const char of text) {
const codePoint = char.codePointAt(0)!;
let childNode = node.children.get(codePoint);
if (!childNode) {
childNode = newNode(node);
node.children.set(codePoint, childNode);
}
node = childNode;
node.subTreeTokenIds.push(id);
}
node.tokenIds.push(id);
}
return root;
};
export const graftTriePaths = (root: TrieNode, rules: Record<string, string>) => {
for (const [inputPhrase, graftTo] of Object.entries(rules)) if ([...graftTo].length > [...inputPhrase].length) throw new Error(`Graft rule ${inputPhrase} -> ${graftTo} maps to longer string and may cause infinite loop`);
const visitedNodes = new Set<TrieNode>();
const graftFromNode = (node: TrieNode, recursiveChildren: boolean) => {
if (visitedNodes.has(node)) return;
visitedNodes.add(node);
if (recursiveChildren) for (const [, childNode] of node.children) graftFromNode(childNode, true);
while (true) {
const nodesWithNewGraftedChildren = new Map<TrieNode, /* depth from initial node */ number>();
for (const [inputPhrase, graftTo] of Object.entries(rules)) {
const targetNode = traverseTrie(node, graftTo);
if (!targetNode) continue;
const codePoints = [...inputPhrase];
const graftedPath = Array.from<TrieNode>({ length: codePoints.length - 1 });
let isGrafted = false;
let currentNode = node;
for (let i = 0; i < codePoints.length; i++) {
const codePoint = codePoints[i]!.codePointAt(0)!;
let childNode = currentNode.children.get(codePoint);
if (i === codePoints.length - 1) {
if (childNode) {
if (childNode !== targetNode) throw new Error(`Grafted path ${inputPhrase} conflicts with existing path`);
// Already grafted
} else {
currentNode.children.set(codePoint, childNode = targetNode);
isGrafted = true;
}
} else {
if (!childNode) {
childNode = newNode(currentNode);
childNode.subTreeTokenIds = targetNode.subTreeTokenIds;
currentNode.children.set(codePoint, childNode);
} else {
// Part of another grafted path?
childNode.subTreeTokenIds = Array.from(new Set([...childNode.subTreeTokenIds, ...targetNode.subTreeTokenIds]));
}
graftedPath[i] = currentNode = childNode;
}
}
if (isGrafted) for (const [i, nodeToAdd] of graftedPath.entries()) nodesWithNewGraftedChildren.set(nodeToAdd, i + 1);
}
if (nodesWithNewGraftedChildren.size > 0) {
// Re-check graft rules on the newly grafted path
// 1. No need to recursive other children (not on this path) since their children are not affected
// 2. No need to consider ancestors of this node since they're handled later (we run in DFS order)
const sortedNodes = [...nodesWithNewGraftedChildren.entries()].sort((a, b) => b[1] - a[1]);
for (const [changedNode] of sortedNodes) graftFromNode(changedNode, false);
} else {
// No new grafts applied
break;
}
}
};
graftFromNode(root, true);
};
export const serializeTrie = (root: TrieNode) => {
const nodeEntries = new Map<TrieNode, {
id: number;
visited: boolean;
data?: number[];
}>();
let currentId = 0;
const getNodeEntry = (node: TrieNode) => {
let entry = nodeEntries.get(node);
if (!entry) {
entry = { id: ++currentId, visited: false };
nodeEntries.set(node, entry);
}
return entry;
};
const serializeNode = (node: TrieNode) => {
const entry = getNodeEntry(node);
if (entry.visited) return entry.id;
entry.visited = true;
const children = [...node.children.entries()].map(([codePoint, childNode]) => [codePoint, serializeNode(childNode)] as const);
entry.data = [
node.parent ? getNodeEntry(node.parent).id : 0,
...children.map(child => child[0]), // code points
...children.map(child => child[1]), // child node ids
// End of children list (<= 0 are not valid code points nor node IDs)
...node.tokenIds.length > 0
? node.tokenIds.map(tokenId => -(tokenId + 1)) // Use the negative value of (tokenId + 1)
: [0], // End of children list, no token IDs (token IDs are encoded to negative values)
];
return entry.id;
};
serializeNode(root);
return [...nodeEntries.values()].sort((a, b) => a.id - b.id).flatMap(node => node.data ?? []);
};
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import { getSpanLength, TokenType } from '../common';
import type { SearchResult } from './search';
export type HighlightedTextPart = /* not highlighted */ string | /* highlighted */ { highlight: string };
export const highlightSearchResult = (resultDocument: SearchResult): HighlightedTextPart[] => {
const highlightResult: HighlightedTextPart[] = [];
let previousHighlightEnd = 0;
for (const token of resultDocument.tokens) {
const notHighlightedText = resultDocument.documentCodePoints.slice(previousHighlightEnd, token.documentOffset.start).join('');
if (notHighlightedText.length > 0) highlightResult.push(notHighlightedText);
const highlightEnd = token.isTokenPrefixMatching && (token.definition.type === TokenType.Kana)
? token.documentOffset.start + Math.max(
1,
Math.round(
getSpanLength(token.documentOffset) *
Math.min(1, getSpanLength(token.inputOffset) / token.definition.codePointLength),
),
)
: token.documentOffset.end;
highlightResult.push({ highlight: resultDocument.documentCodePoints.slice(token.documentOffset.start, highlightEnd).join('') });
previousHighlightEnd = highlightEnd;
}
if (previousHighlightEnd < resultDocument.documentCodePoints.length) highlightResult.push(resultDocument.documentCodePoints.slice(previousHighlightEnd).join(''));
return highlightResult;
};
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export * from './trie';
export * from './inverted-index';
export * from './search';
export * from './highlight';
@@ -0,0 +1,59 @@
import { deserializeTrie } from './trie';
import type { TrieNode } from '../common';
import type { CompressedInvertedIndex, OffsetSpan, TokenDefinition } from '../common/types';
export interface TokenDocumentReference {
documentId: number;
offsets: OffsetSpan[];
}
interface TokenDefinitionExtended extends TokenDefinition {
references: TokenDocumentReference[];
};
const mergeMap = <K, V>(...maps: Map<K, V>[]) => {
const result = new Map<K, V>();
for (const map of maps) for (const [key, value] of map.entries()) result.set(key, value);
return result;
};
export interface LoadedInvertedIndex {
documents: string[];
documentCodePoints: string[][];
tokenDefinitions: TokenDefinitionExtended[];
tries: {
romaji: TrieNode;
kana: TrieNode;
other: TrieNode;
};
}
export const loadInvertedIndex = (compressed: CompressedInvertedIndex): LoadedInvertedIndex => {
const documents = compressed.documents;
const documentCodePoints = documents.map(document => [...document]);
const romajiTrie = deserializeTrie(compressed.tries.romaji);
const kanaTrie = deserializeTrie(compressed.tries.kana);
const otherTrie = deserializeTrie(compressed.tries.other);
const tokenCodePoints = mergeMap(romajiTrie.tokenCodePoints, kanaTrie.tokenCodePoints, otherTrie.tokenCodePoints);
const tokenDefinitions = compressed.tokenTypes.map<TokenDefinitionExtended>((type, index) => ({
id: index, type, text: tokenCodePoints.get(index)!.join(''),
codePointLength: tokenCodePoints.get(index)!.length,
references: compressed.tokenReferences[index]!.map<TokenDocumentReference>(([documentId, ...offsets]) => ({
documentId: documentId!,
offsets: Array.from({ length: offsets.length / 2 }, (_, i) => ({ start: offsets[i * 2]!, end: offsets[i * 2 + 1]! })),
})),
}));
return {
documents,
documentCodePoints,
tokenDefinitions,
tries: {
romaji: romajiTrie.root,
kana: kanaTrie.root,
other: otherTrie.root,
},
};
};
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import { highlightSearchResult } from './highlight';
import { getTrieNodeTokenIds } from './trie';
import type { TrieNode } from '../common';
import { traverseTrieStep } from '../common';
import type { LoadedInvertedIndex } from './inverted-index';
import { normalizeByCodePoint, toKatakana } from '../common/normalize';
import { type OffsetSpan, type TokenDefinition, TokenType } from '../common/types';
import { getSpanLength } from '../common/utils';
const IGNORABLE_CODE_POINTS = /[\s\u3099\u309A]/u;
enum TokenTypePrefixMatchingPolicy {
AlwaysAllow,
NeverAllow,
AllowOnlyAtInputEnd,
}
const tokenTypePrefixMatchingPolicy: Record<TokenType, TokenTypePrefixMatchingPolicy> = {
[TokenType.Romaji]: TokenTypePrefixMatchingPolicy.NeverAllow,
[TokenType.Kana]: TokenTypePrefixMatchingPolicy.AlwaysAllow,
// These token types are in an "other" Trie
[TokenType.Han]: TokenTypePrefixMatchingPolicy.AllowOnlyAtInputEnd, // No effect because always 1 code point
[TokenType.Pinyin]: TokenTypePrefixMatchingPolicy.AllowOnlyAtInputEnd,
[TokenType.Raw]: TokenTypePrefixMatchingPolicy.AllowOnlyAtInputEnd, // No effect because always 1 code point
};
const shouldAllowPrefixMatching = (tokenType: TokenType, isAtInputEnd: boolean) =>
tokenTypePrefixMatchingPolicy[tokenType] === TokenTypePrefixMatchingPolicy.AlwaysAllow ||
(tokenTypePrefixMatchingPolicy[tokenType] !== TokenTypePrefixMatchingPolicy.NeverAllow && isAtInputEnd);
export interface SearchResultToken {
definition: TokenDefinition;
documentOffset: OffsetSpan;
inputOffset: OffsetSpan;
isTokenPrefixMatching: boolean;
}
interface ComparableStateTraits<T> {
getRangeCount: (state: T) => number;
getPrefixMatchCount: (state: T) => number;
getFirstTokenDocumentOffset: (state: T) => OffsetSpan;
getLastTokenDocumentOffset: (state: T) => OffsetSpan;
getLastToken?: (state: T) => SearchResultToken; // Not on intermediate results
getMatchRatioLevel?: (state: T) => number; // Not on intermediate/candidate results
getMatchRatio: (state: T) => number;
// Called when all other comparisons are equal
nextComparer?: (a: T, b: T) => number; // Not on intermediate/candidate results
}
const getComparerForTraits = <T>(traits: ComparableStateTraits<T>) => (a: T, b: T) => {
// Prefer matches that not relying on end-of-input loose matching (full match over prefix match)
if (traits.getLastToken) {
const aLastToken = traits.getLastToken(a), bLastToken = traits.getLastToken(b);
const aDidPrefixMatchByTokenType = aLastToken.isTokenPrefixMatching && tokenTypePrefixMatchingPolicy[aLastToken.definition.type] === TokenTypePrefixMatchingPolicy.AllowOnlyAtInputEnd;
const bDidPrefixMatchByTokenType = bLastToken.isTokenPrefixMatching && tokenTypePrefixMatchingPolicy[bLastToken.definition.type] === TokenTypePrefixMatchingPolicy.AllowOnlyAtInputEnd;
if (aDidPrefixMatchByTokenType !== bDidPrefixMatchByTokenType) return aDidPrefixMatchByTokenType ? 1 : -1;
}
// Prefer results that matched fewer discontinuous ranges over more
const aRangeCount = traits.getRangeCount(a), bRangeCount = traits.getRangeCount(b);
if (aRangeCount !== bRangeCount) return aRangeCount - bRangeCount;
// Prefer results that matches first token in document earlier over later
const aFirstTokenDocumentOffset = traits.getFirstTokenDocumentOffset(a), bFirstTokenDocumentOffset = traits.getFirstTokenDocumentOffset(b);
if (aFirstTokenDocumentOffset.start !== bFirstTokenDocumentOffset.start) return aFirstTokenDocumentOffset.start - bFirstTokenDocumentOffset.start;
// Prefer results that has higher match ratio (but don't distinguish similar ratios, so we introduced `matchRatioLevel`)
if (traits.getMatchRatioLevel) {
const aMatchRatioLevel = traits.getMatchRatioLevel(a), bMatchRatioLevel = traits.getMatchRatioLevel(b);
if (aMatchRatioLevel !== bMatchRatioLevel) return bMatchRatioLevel - aMatchRatioLevel;
}
// Prefer results that last token occurred earlier (if same, ended earlier) in the document over later
const aLastTokenDocumentOffset = traits.getLastTokenDocumentOffset(a), bLastTokenDocumentOffset = traits.getLastTokenDocumentOffset(b);
if (aLastTokenDocumentOffset.start !== bLastTokenDocumentOffset.start) return aLastTokenDocumentOffset.start - bLastTokenDocumentOffset.start;
if (aLastTokenDocumentOffset.end !== bLastTokenDocumentOffset.end) return aLastTokenDocumentOffset.end - bLastTokenDocumentOffset.end;
// Prefer results that has higher match ratio (precisely)
const aMatchRatio = traits.getMatchRatio(a), bMatchRatio = traits.getMatchRatio(b);
if (aMatchRatio !== bMatchRatio) return bMatchRatio - aMatchRatio;
return traits.nextComparer?.(a, b) ?? 0;
};
interface IntermediateResult {
previousState?: IntermediateResult;
firstTokenDocumentOffset: OffsetSpan;
rangeCount: number;
tokenCount: number;
prefixMatchCount: number;
matchedTokenLength: number;
tokenId: number;
documentOffset: OffsetSpan;
inputOffset: OffsetSpan;
isTokenPrefixMatching: boolean;
}
const compareIntermediateResult = getComparerForTraits<IntermediateResult>({
getRangeCount: state => state.rangeCount,
getPrefixMatchCount: state => state.prefixMatchCount,
getFirstTokenDocumentOffset: state => state.firstTokenDocumentOffset,
getLastTokenDocumentOffset: state => state.documentOffset,
getMatchRatio: state => state.matchedTokenLength, // No need to divide document length since intermediate results are for same document
});
interface CandidateResult {
tokens: SearchResultToken[];
prefixMatchCount: number;
matchedTokenLength: number;
rangeCount: number;
}
const compareCandidateResult = getComparerForTraits<CandidateResult>({
getRangeCount: state => state.rangeCount,
getPrefixMatchCount: state => state.prefixMatchCount,
getFirstTokenDocumentOffset: state => state.tokens[0]!.documentOffset,
getLastTokenDocumentOffset: state => state.tokens[state.tokens.length - 1]!.documentOffset,
getLastToken: state => state.tokens[state.tokens.length - 1]!,
getMatchRatio: state => state.matchedTokenLength, // No need to divide document length since candidate results are for same document
});
export interface SearchResult {
documentId: number;
documentText: string;
documentCodePoints: string[];
tokens: SearchResultToken[];
prefixMatchCount: number;
rangeCount: number;
matchRatio: number;
matchRatioLevel: number;
}
const compareFinalResult = getComparerForTraits<SearchResult>({
getRangeCount: state => state.rangeCount,
getPrefixMatchCount: state => state.prefixMatchCount,
getFirstTokenDocumentOffset: state => state.tokens[0]!.documentOffset,
getLastTokenDocumentOffset: state => state.tokens[state.tokens.length - 1]!.documentOffset,
getLastToken: state => state.tokens[state.tokens.length - 1]!,
getMatchRatio: state => state.matchRatio,
getMatchRatioLevel: state => Math.round(state.matchRatio * 5),
nextComparer: (a, b) => a.documentText === b.documentText ? 0 : a.documentText < b.documentText ? -1 : 1,
});
const hasNonEmptyCharacters = (documentCodePoints: string[], start: number, end: number) => start !== end && !documentCodePoints.slice(start, end).every(char => /\s/.test(char));
export const searchInvertedIndex = (invertedIndex: LoadedInvertedIndex, text: string): SearchResult[] => {
const { documents, documentCodePoints, tokenDefinitions, tries } = invertedIndex;
const codePoints = [...toKatakana(normalizeByCodePoint(text))];
// dp[i] = docId => end => IntermediateResult, starts from dp[-1] (l === 0), ends at dp[N - 1] (r === N - 1)
const dp = Array.from({ length: codePoints.length }, () => new Map<number, Record<number, IntermediateResult>>());
for (let l = 0; l < codePoints.length; l++) {
if (l !== 0 && dp[l - 1]!.size === 0) continue; // No documents match input from beginning to this position
let romajiNode: TrieNode | undefined = tries.romaji;
let kanaNode: TrieNode | undefined = tries.kana;
let otherNode: TrieNode | undefined = tries.other;
for (let r = l; r < codePoints.length && (romajiNode || kanaNode || otherNode); r++) { // [l, r]
const codePoint = codePoints[r]!;
romajiNode = traverseTrieStep(romajiNode, codePoint, IGNORABLE_CODE_POINTS);
kanaNode = traverseTrieStep(kanaNode, codePoint, IGNORABLE_CODE_POINTS);
otherNode = traverseTrieStep(otherNode, codePoint, IGNORABLE_CODE_POINTS);
const reachingInputEnd = r === codePoints.length - 1;
const matchingTokenIds = new Set([
// Allow suffix matching of romaji/other tokens if we're at the end of the input
...getTrieNodeTokenIds(romajiNode, shouldAllowPrefixMatching(TokenType.Romaji, reachingInputEnd)),
...getTrieNodeTokenIds(kanaNode, shouldAllowPrefixMatching(TokenType.Kana, reachingInputEnd)),
...getTrieNodeTokenIds(otherNode, reachingInputEnd),
]);
for (const tokenId of matchingTokenIds) for (const { documentId, offsets } of tokenDefinitions[tokenId]!.references) {
const isTokenPrefixMatching = !romajiNode?.tokenIds.includes(tokenId) && !kanaNode?.tokenIds.includes(tokenId) && !otherNode?.tokenIds.includes(tokenId);
const previousMatchesOfDocument = dp[l - 1]?.get(documentId);
if (l !== 0 && !previousMatchesOfDocument) continue;
for (const documentOffset of offsets) {
const { start: currentStart, end: currentEnd } = documentOffset;
const contributeNextMatchingState = (previousState: IntermediateResult | undefined) => {
const nextMatchingMap = dp[r]!;
let nextMatchesOfDocument = nextMatchingMap.get(documentId);
if (!nextMatchesOfDocument) {
nextMatchesOfDocument = Object.create(null) as Record<number, IntermediateResult>;
nextMatchingMap.set(documentId, nextMatchesOfDocument);
}
const oldResult = nextMatchesOfDocument[currentEnd];
const inputOffset = { start: l, end: r + 1 };
const newResult: IntermediateResult = {
previousState,
firstTokenDocumentOffset: previousState?.firstTokenDocumentOffset ?? documentOffset,
rangeCount: !previousState ? 1
: (previousState.rangeCount + (hasNonEmptyCharacters(documentCodePoints[documentId]!, previousState.documentOffset.end, currentStart) ? 1 : 0)),
tokenCount: (previousState?.tokenCount ?? 0) + 1,
prefixMatchCount: (previousState?.prefixMatchCount ?? 0) + (isTokenPrefixMatching ? 1 : 0),
matchedTokenLength: (previousState?.matchedTokenLength ?? 0) + getSpanLength(documentOffset) *
Math.min(isTokenPrefixMatching ? getSpanLength(inputOffset) / tokenDefinitions[tokenId]!.codePointLength : Infinity, 1),
tokenId,
documentOffset,
inputOffset,
isTokenPrefixMatching,
};
nextMatchesOfDocument[currentEnd] = !oldResult || compareIntermediateResult(newResult, oldResult) < 0 ? newResult : oldResult;
};
if (l === 0) contributeNextMatchingState(undefined);
else for (const previousEnd in previousMatchesOfDocument) if (currentStart >= Number(previousEnd))
contributeNextMatchingState(previousMatchesOfDocument[previousEnd as unknown as number]!);
// Don't `break` here because keys of `previousMatchesOfDocument` are not essentially ordered
}
}
}
}
// Build search results and sort documents
return [...dp[codePoints.length - 1]!.entries()].map<SearchResult>(([documentId, matches]) => {
const sortedMatches = Object.values(matches).map<CandidateResult>(match => {
const tokens: SearchResultToken[] = [];
// Build token list from backtracking
let state: IntermediateResult | undefined = match;
while (state) {
tokens.unshift({
definition: tokenDefinitions[state.tokenId]!,
documentOffset: state.documentOffset, inputOffset: state.inputOffset,
isTokenPrefixMatching: state.isTokenPrefixMatching,
});
state = state.previousState;
}
return { tokens, prefixMatchCount: match.prefixMatchCount, matchedTokenLength: match.matchedTokenLength, rangeCount: match.rangeCount };
}).sort(compareCandidateResult);
const bestMatchOfDocument = sortedMatches[0]!;
const documentText = documents[documentId]!;
const matchRatio = bestMatchOfDocument.matchedTokenLength / documentCodePoints[documentId]!.length;
const matchRatioLevel = Math.round(matchRatio * 5);
return {
documentId,
documentText,
documentCodePoints: documentCodePoints[documentId]!,
tokens: bestMatchOfDocument.tokens,
prefixMatchCount: bestMatchOfDocument.prefixMatchCount,
rangeCount: bestMatchOfDocument.rangeCount,
matchRatio,
matchRatioLevel,
};
}).sort(compareFinalResult);
};
// For debugging
export const inspectSearchResult = (resultDocument: SearchResult, htmlHighlight: boolean) => {
const { documentText, tokens, rangeCount, matchRatio, matchRatioLevel } = resultDocument;
const escapeHtml = (s: string) => s.replaceAll('&', '&amp;').replaceAll('<', '&lt;').replaceAll('>', '&gt;');
const escapedText = htmlHighlight ? highlightSearchResult(resultDocument).map(part =>
typeof part === 'string' ? escapeHtml(part) : `<u><b>${escapeHtml(part.highlight)}</b></u>`).join('') : JSON.stringify(documentText);
const description = ` (${rangeCount} ranges, ${Math.round(matchRatio * 10000) / 10000} => L${matchRatioLevel})`;
return [
escapedText + (htmlHighlight ? `<code>${description}</code>` : description),
...tokens.map(token => {
let escapedTokenText = JSON.stringify(token.definition.text);
let escapedDocumentText = JSON.stringify([...documentText].slice(token.documentOffset.start, token.documentOffset.end).join(''));
if (htmlHighlight) {
escapedTokenText = escapeHtml(escapedTokenText);
escapedDocumentText = escapeHtml(escapedDocumentText);
}
const line = ` ${TokenType[token.definition.type]}: ${escapedTokenText} -> ${escapedDocumentText}${token.isTokenPrefixMatching ? ' (prefix match)' : ''}`;
return htmlHighlight ? `<code>${line}</code>` : line;
}),
'',
].join('\n');
};
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import type { TrieNode } from '../common';
export const deserializeTrie = (data: number[]) => {
const nodes: TrieNode[] = [];
const getNode = (id: number) => nodes[id - 1] ??= { parent: undefined, children: new Map(), tokenIds: [], subTreeTokenIds: [] };
let currentId = 0;
for (let i = 0; i < data.length;) {
const node = getNode(++currentId);
const parentId = data[i++]!;
node.parent = parentId !== 0 ? getNode(parentId) : undefined;
let endOfChildren = i;
while (endOfChildren < data.length && data[endOfChildren]! > 0) endOfChildren++;
const numberOfChildren = (endOfChildren - i) / 2;
for (let j = i; j < i + numberOfChildren; j++) {
const codePoint = data[j]!;
const child = getNode(data[j + numberOfChildren]!);
node.children.set(codePoint, child);
}
i = endOfChildren;
if (data[i] === 0) i++; // No token IDs
else while (i < data.length && data[i]! < 0) node.tokenIds.push(-data[i++]! - 1);
}
const root = nodes[0]!;
// DFS to construct code point paths for each token
const tokenCodePoints = new Map<number, string[]>();
const currentCodePoints: string[] = [];
const dfsCodePoints = (node: TrieNode) => {
for (const tokenId of node.tokenIds) tokenCodePoints.set(tokenId, [...currentCodePoints]);
for (const [codePoint, child] of node.children.entries()) {
if (child.parent !== node) continue; // Skip grafted paths as these are not the canonical representation of the tokens
currentCodePoints.push(String.fromCodePoint(codePoint));
dfsCodePoints(child);
currentCodePoints.pop();
}
};
dfsCodePoints(root);
// DFS to construct subTreeTokenIds for each node
const visitedNodes = new Set<TrieNode>();
const dfsSubTreeTokenIds = (node: TrieNode) => {
if (visitedNodes.has(node)) return node.subTreeTokenIds;
visitedNodes.add(node);
node.subTreeTokenIds = [...node.tokenIds, ...new Set([...node.children.values()].flatMap(child => dfsSubTreeTokenIds(child)))];
return node.subTreeTokenIds;
};
dfsSubTreeTokenIds(root);
return {
root,
tokenCodePoints,
};
};
export const getTrieNodeTokenIds = (node: TrieNode | undefined, includeSubTree: boolean) =>
(includeSubTree ? node?.subTreeTokenIds : node?.tokenIds) ?? [];
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{
"compilerOptions": {
"target": "ESNext",
"jsx": "preserve",
"lib": ["DOM", "DOM.Iterable", "ESNext", "WebWorker"],
"module": "ESNext",
"moduleResolution": "Bundler",
"noUncheckedIndexedAccess": true,
"resolveJsonModule": true,
"allowJs": true,
"strict": true,
"strictNullChecks": true,
"noEmit": true,
"esModuleInterop": true,
"forceConsistentCasingInFileNames": true,
"isolatedModules": true,
"skipLibCheck": true,
"rootDir": ".",
"outDir": "dist"
},
"include": ["src/**/*.ts"],
"exclude": ["dist", "node_modules"]
}
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import { defineConfig } from 'tsdown';
export default defineConfig({
entry: [
'./src/index.ts',
'./src/searcher/index.ts',
'./src/indexer/index.ts',
'./src/common/index.ts',
],
dts: true,
unused: true,
fixedExtension: true,
unbundle: true,
sourcemap: true,
});
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packages:
- packages/*
- apps/*
nodeLinker: hoisted
onlyBuiltDependencies:
- '@swc/core'
- unrs-resolver