Merge branch 'dev' into feat/add_image_dimension_field

This commit is contained in:
Caspian 2023-12-05 09:51:36 +00:00
commit 25f1c6ea73
17 changed files with 574 additions and 93 deletions

View File

@ -79,6 +79,7 @@
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View File

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prop-types: 15.8.1
@ -11044,6 +11027,10 @@ packages:
resolution: {integrity: sha512-U9nH88a3fc/ekCF1l0/UP1IosiuIjyTh7hBvXVMHYgVcfGvt897Xguj2UOLDeI5BG2m7/uwyaLVT6fbtCwTyzw==}
engines: {iojs: '>=1.0.0', node: '>=0.10.0'}
/rfc4648@1.5.3:
resolution: {integrity: sha512-MjOWxM065+WswwnmNONOT+bD1nXzY9Km6u3kzvnx8F8/HXGZdz3T6e6vZJ8Q/RIMUSp/nxqjH3GwvJDy8ijeQQ==}
dev: false
/rfdc@1.3.0:
resolution: {integrity: sha512-V2hovdzFbOi77/WajaSMXk2OLm+xNIeQdMMuB7icj7bk6zi2F8GGAxigcnDFpJHbNyNcgyJDiP+8nOrY5cZGrA==}
dev: true
@ -11062,7 +11049,7 @@ packages:
/rpc-websockets@7.6.0:
resolution: {integrity: sha512-Jgcs8q6t8Go98dEulww1x7RysgTkzpCMelVxZW4hvuyFtOGpeUz9prpr2KjUa/usqxgFCd9Tu3+yhHEP9GVmiQ==}
dependencies:
'@babel/runtime': 7.23.2
'@babel/runtime': 7.23.4
eventemitter3: 4.0.7
uuid: 8.3.2
ws: 8.14.2(bufferutil@4.0.8)(utf-8-validate@5.0.10)
@ -11644,7 +11631,7 @@ packages:
/tailwind-merge@2.0.0:
resolution: {integrity: sha512-WO8qghn9yhsldLSg80au+3/gY9E4hFxIvQ3qOmlpXnqpDKoMruKfi/56BbbMg6fHTQJ9QD3cc79PoWqlaQE4rw==}
dependencies:
'@babel/runtime': 7.23.2
'@babel/runtime': 7.23.4
dev: false
/tailwind-scrollbar-hide@1.1.7:
@ -12837,6 +12824,12 @@ packages:
resolution: {integrity: sha512-JZnDKK8B0RCDw84FNdDAIpZK+JuJw+s7Lz8nksI7SIuU3UXJJslUthsi+uWBUYOwPFwW7W7PRLRfUKpxjtjFCw==}
dev: false
/xregexp@5.1.1:
resolution: {integrity: sha512-fKXeVorD+CzWvFs7VBuKTYIW63YD1e1osxwQ8caZ6o1jg6pDAbABDG54LCIq0j5cy7PjRvGIq6sef9DYPXpncg==}
dependencies:
'@babel/runtime-corejs3': 7.23.4
dev: false
/xtend@4.0.2:
resolution: {integrity: sha512-LKYU1iAXJXUgAXn9URjiu+MWhyUXHsvfp7mcuYm9dSUKK0/CjtrUwFAxD82/mCWbtLsGjFIad0wIsod4zrTAEQ==}
engines: {node: '>=0.4'}

View File

@ -0,0 +1 @@
ALTER TABLE "Metadata" ADD COLUMN "ai_translation" JSONB;

View File

@ -27,6 +27,19 @@ model Metadata {
// ...
// }
image_dimensions Json?
// Expected JSON structure for the translation field:
// {
// "zh": {
// "title": "string",
// "content": "string",
// },
// "jp": {
// "title": "string",
// "content": "string",
// },
// ...
// }
ai_translation Json?
@@id([uri])
@@index([uri])
}

View File

@ -16,6 +16,7 @@ import { toCid, toGateway } from "~/lib/ipfs-parser"
import { isInRN } from "~/lib/is-in-rn"
import { isOnlyContent } from "~/lib/is-only-content"
import getQueryClient from "~/lib/query-client"
import { Language } from "~/lib/types"
import { fetchGetPage, getSummary } from "~/queries/page.server"
import { fetchGetSite } from "~/queries/site.server"
@ -28,7 +29,7 @@ export async function generateMetadata({
}
}): Promise<Metadata> {
const queryClient = getQueryClient()
const locale = (await getLocale()) as Language
const site = await fetchGetSite(params.site, queryClient)
const page = await fetchGetPage(
@ -36,6 +37,7 @@ export async function generateMetadata({
characterId: site?.characterId,
slug: params.slug,
useStat: true,
translateTo: locale,
},
queryClient,
)

View File

@ -16,6 +16,7 @@ export async function GET(req: Request) {
useHTML: false,
useImageDimensions: query.useImageDimensions === "true",
topic: query.topic,
translateTo: query.translateTo,
})
const res = new NextServerResponse()

View File

@ -0,0 +1,210 @@
import AsyncLock from "async-lock"
import { LLMChain } from "langchain/chains"
import { OpenAI } from "langchain/llms/openai"
import { PromptTemplate } from "langchain/prompts"
import { Metadata } from "@prisma/client"
import { languageNames } from "~/i18n"
import { toGateway } from "~/lib/ipfs-parser"
import { llmModelSwitcherByTextLength } from "~/lib/llm-model-switcher-by-text-length"
import prisma from "~/lib/prisma.server"
import { cacheGet } from "~/lib/redis.server"
import { getQuery, NextServerResponse } from "~/lib/server-helper"
import { Language } from "~/lib/types"
const lock = new AsyncLock()
type ContentTranslation = {
title?: string
content?: string
}
let translationModel4K: OpenAI | undefined
let translationModel16K: OpenAI | undefined
if (process.env.OPENAI_API_KEY) {
const options = {
openAIApiKey: process.env.OPENAI_API_KEY,
temperature: 0.2,
maxTokens: -1,
}
translationModel4K = new OpenAI({ ...options, modelName: "gpt-3.5-turbo" })
translationModel16K = new OpenAI({
...options,
modelName: "gpt-3.5-turbo-16k",
})
}
type ChainKeyType = `${4 | 16}k_${Language}` // e.g. "4k_en" | "4k_zh" | "4k_zh-TW" | "4k_ja" | "16k_en" | "16k_zh" | "16k_zh-TW" | "16k_ja"
const translationChains = new Map<ChainKeyType, LLMChain>()
const getOriginalTranslation = async (
cid: string,
targetLang: Language,
originalLang?: Language,
): Promise<ContentTranslation | undefined> => {
if (!translationModel4K || !translationModel16K) return
try {
const { title, content } = await (
await fetch(toGateway(`ipfs://${cid}`))
).json()
// If the detected language is the same as the target language, return the original content
if (originalLang === targetLang) {
console.warn(
`|__ Warn: Detected language is the same as the target language, return the original content: ${cid}, ${targetLang}`,
)
return
}
console.time(`fetching translation ${cid}, ${targetLang}`)
const { modelSize, tokens } = llmModelSwitcherByTextLength(content, {
includeResponse: { lang: targetLang },
})
if (!modelSize) {
console.error(
`|__ Error: Content too long for translation: ${cid}, ${targetLang}. (Tokens: ${tokens})`,
)
return
}
let chain = translationChains.get(`${modelSize}_${targetLang}`)
if (!chain) {
const prompt = new PromptTemplate({
template: `Translate the following text into "${languageNames[targetLang]}" language:
{text}
Translation:`,
inputVariables: ["text"],
})
const translateModel =
modelSize === "4k" ? translationModel4K : translationModel16K
chain = new LLMChain({ llm: translateModel, prompt })
translationChains.set(`${modelSize}_${targetLang}`, chain)
}
const t = await chain.call({ text: title })
const c = await chain.call({ text: content })
console.timeEnd(`fetching translation ${cid}, ${targetLang}`)
return {
title: t.text,
content: c.text,
}
} catch (error) {
console.error(error)
console.timeEnd(`fetching translation ${cid}, ${targetLang}`)
}
}
async function getTranslation({
cid,
fromLang,
toLang = "en",
}: {
cid: string
fromLang?: Language
toLang?: Language
}): Promise<ContentTranslation | undefined> {
if (fromLang === toLang) {
return undefined
}
const translatedContent = (await cacheGet({
key: ["translation", cid, toLang],
allowEmpty: true,
noUpdate: true,
noExpire: true,
getValueFun: async () => {
let result
await lock.acquire(`translation_${cid}`, async () => {
const meta = await prisma.metadata.findFirst({
where: {
uri: `ipfs://${cid}`,
},
})
const key = "ai_translation"
const translations = meta?.[key as keyof Metadata] as Record<
string,
ContentTranslation
>
const translatedJson = translations?.[toLang]
if (translatedJson) {
result = translatedJson
} else {
const newTranslation = await getOriginalTranslation(cid, toLang)
if (newTranslation) {
/**
* e.g.
*
* {
* "en": {
* "title": "title",
* "content": "content"
* },
* "zh": {
* "title": "标题",
* "content": "内容"
* },
* ...
* }
*
*/
const finalTranslation = {
...translations,
[toLang]: newTranslation,
}
if (meta) {
await prisma.metadata.update({
where: { uri: `ipfs://${cid}` },
data: {
[key as keyof Metadata]: finalTranslation,
},
})
} else {
await prisma.metadata.create({
data: {
uri: `ipfs://${cid}`,
[key as keyof Metadata]: finalTranslation,
},
})
}
result = newTranslation
}
}
})
return result
},
})) as ContentTranslation | undefined
return translatedContent
}
export async function GET(req: Request): Promise<Response> {
let { cid, fromLang, toLang } = getQuery(req)
const res = new NextServerResponse()
if (!cid) {
return res.status(400).send("Bad Request")
}
return res.status(200).json({
data: await getTranslation({
cid,
fromLang,
toLang,
}),
})
}

View File

@ -1,6 +1,6 @@
"use client"
import { useTranslations } from "next-intl"
import { useLocale, useTranslations } from "next-intl"
import { useParams, useSearchParams } from "next/navigation"
import { useEffect, useState } from "react"
import { VirtuosoGrid } from "react-virtuoso"
@ -15,13 +15,14 @@ import { Tabs } from "~/components/ui/Tabs"
import { Tooltip } from "~/components/ui/Tooltip"
import { useIsMobileLayout } from "~/hooks/useMobileLayout"
import { getStorage, setStorage } from "~/lib/storage"
import { ExpandedNote } from "~/lib/types"
import { ExpandedNote, Language } from "~/lib/types"
import type { FeedType, SearchType } from "~/models/home.model"
import { useGetFeed } from "~/queries/home"
export const HomeFeed = ({ type }: { type?: FeedType }) => {
const t = useTranslations()
const searchParams = useSearchParams()
const locale = useLocale() as Language
const currentCharacterId = useAccountState(
(s) => s.computed.account?.characterId,
@ -43,6 +44,7 @@ export const HomeFeed = ({ type }: { type?: FeedType }) => {
let feedConfig: Parameters<typeof useGetFeed>[0] = {
type,
}
switch (type) {
case "following":
feedConfig = {
@ -77,7 +79,10 @@ export const HomeFeed = ({ type }: { type?: FeedType }) => {
break
}
const feed = useGetFeed(feedConfig)
const feed = useGetFeed({
...feedConfig,
translateTo: locale,
})
const hasFiltering = type === "latest"

View File

@ -1,6 +1,12 @@
import { getRequestConfig } from "next-intl/server"
export const locales = ["en", "ja", "zh", "zh-TW"]
export const locales = ["en", "ja", "zh", "zh-TW"] as const
export const languageNames: Record<(typeof locales)[number], string> = {
en: "English",
ja: "Japanese",
zh: "Chinese (Simplified)",
"zh-TW": "Chinese (Traditional)",
}
export const defaultLocale = "en"
export default getRequestConfig(async ({ locale }) => ({

View File

@ -0,0 +1,66 @@
import { encode } from "gpt-tokenizer"
export type ModelTypes =
| "gpt-3.5-turbo"
| "gpt-3.5-turbo-0613"
| "gpt-3.5-turbo-16k"
| "gpt-3.5-turbo-16k-0613"
| "gpt-3.5-turbo-0301"
| "gpt-4"
| "gpt-4-0314"
| "gpt-4-32k-0314"
| "gpt-4-0613"
| "gpt-4-32k-0613"
export function calculateTokens(
messages: string,
model: ModelTypes = "gpt-3.5-turbo-0613",
) {
let tokens_per_message = 0
let tokens_per_name = 0
if (
[
"gpt-3.5-turbo-0613",
"gpt-3.5-turbo-16k-0613",
"gpt-4-0314",
"gpt-4-32k-0314",
"gpt-4-0613",
"gpt-4-32k-0613",
].includes(model)
) {
tokens_per_message = 3
tokens_per_name = 1
} else if (model == "gpt-3.5-turbo-0301") {
tokens_per_message = 4
tokens_per_name = -1
} else if (model.includes("gpt-3.5-turbo")) {
console.log(
"Warning: gpt-3.5-turbo may update over time. Returning num tokens assuming gpt-3.5-turbo-0613.",
)
return calculateTokens(messages, "gpt-3.5-turbo-0613")
} else if (model.includes("gpt-4")) {
console.log(
"Warning: gpt-4 may update over time. Returning num tokens assuming gpt-4-0613.",
)
return calculateTokens(messages, "gpt-4-0613")
} else {
throw new Error(
`num_tokens_from_messages() is not implemented for model ${model}. See https://github.com/openai/openai-python/blob/main/chatml.md for information on how messages are converted to tokens.`,
)
}
let num_tokens = 0
for (let i = 0; i < messages.length; i++) {
let message = messages[i]
num_tokens += tokens_per_message
// @ts-ignore
for (let key in message) {
let value = message[key]
num_tokens += encode(value).length
if (key == "name") {
num_tokens += tokens_per_name
}
}
}
num_tokens += 3
return num_tokens
}

67
src/lib/detect-lang.ts Normal file
View File

@ -0,0 +1,67 @@
import XRegExp from "xregexp"
import { Language } from "./types"
type Thresholds = Partial<Record<Language, number>>
const _thresholds: Thresholds = {
en: 0.8,
zh: 0.3,
ja: 0.5,
}
export function detectLanguage(
text: string,
thresholds: Thresholds = _thresholds,
): Language {
// Pre-process the text
text = text.replace(/[\d\s\p{P}]/gu, "") // Remove numbers, whitespace, and punctuation
// split into words
const langs: Array<string | null> = text
.trim()
.split(/\s+/)
.map((word) => {
return detect(word, thresholds)
})
// pick the lang with the most occurrences
const result = langs.reduce<{
k: Record<string, number>
max: string | null
}>(
(acc, el) => {
if (el) {
acc.k[el] = acc.k[el] ? acc.k[el] + 1 : 1
acc.max = acc.max ? (acc.k[acc.max] < acc.k[el] ? el : acc.max) : el
}
return acc
},
{ k: {}, max: null },
)
return result.max as Language
function detect(text: string, thresholds: Thresholds): string | null {
const scores: Record<string, number> = {}
const regexes: Record<string, RegExp> = {
en: XRegExp("\\p{Latin}", "gi"),
zh: XRegExp("\\p{Han}", "gi"),
ja: XRegExp("[\\p{Hiragana}\\p{Katakana}]", "gi"),
}
for (const [lang, regex] of Object.entries(regexes)) {
const matches = XRegExp.match(text, regex) || []
const score = matches.length / text.length
if (score && score >= thresholds[lang as keyof Thresholds]!) {
return lang
}
scores[lang] = score
}
if (Object.keys(scores).length === 0) return null
// pick lang with highest percentage
return Object.keys(scores).reduce((a, b) => (scores[a] > scores[b] ? a : b))
}
}

View File

@ -5,8 +5,14 @@ import removeMarkdown from "remove-markdown"
import { SCORE_API_DOMAIN, SITE_URL } from "~/lib/env"
import { toCid, toGateway } from "~/lib/ipfs-parser"
import readingTime from "~/lib/reading-time"
import { ExpandedCharacter, ExpandedNote, PortfolioStats } from "~/lib/types"
import {
ExpandedCharacter,
ExpandedNote,
Language,
PortfolioStats,
} from "~/lib/types"
import { detectLanguage } from "./detect-lang"
import { getNoteSlug } from "./helpers"
export const expandCrossbellNote = async ({
@ -17,6 +23,7 @@ export const expandCrossbellNote = async ({
keyword,
useHTML,
disableAutofill,
translateTo,
}: {
note: NoteEntity & {
metadata?: {
@ -31,6 +38,7 @@ export const expandCrossbellNote = async ({
keyword?: string
useHTML?: boolean
disableAutofill?: boolean
translateTo?: Language
}) => {
if (note.metadata?.uri && !note.metadata?.content) {
note.metadata.content = await (
@ -51,12 +59,45 @@ export const expandCrossbellNote = async ({
let rendered
if (expandedNote.metadata?.content?.content) {
const { renderPageContent } = await import("~/markdown")
rendered = renderPageContent(expandedNote.metadata.content.content, true)
if (translateTo) {
try {
const processedContent = removeMarkdown(
expandedNote.metadata.content.content.replace(/```[^]+?```/g, ""),
)
const detectedLang = detectLanguage(processedContent)
const translation = await (
await fetch(
`${SITE_URL}/api/translate-note?` +
new URLSearchParams({
cid: toCid(expandedNote.metadata.uri || ""),
fromLang: detectedLang,
toLang: translateTo,
} as any),
)
).json()
if (translation.data.content) {
expandedNote.metadata.content.content = translation.data
.content as string
}
if (translation.data.title) {
expandedNote.metadata.content.title = translation.data
.title as string
}
} catch (e) {
// do nothing
}
}
rendered = renderPageContent(expandedNote.metadata.content.content!, true)
if (keyword) {
const position = expandedNote.metadata.content.content
.toLowerCase()
.indexOf(keyword.toLowerCase())
expandedNote.metadata.content.summary = `...${expandedNote.metadata.content.content.slice(
expandedNote.metadata.content.summary = `...${expandedNote.metadata.content.content!.slice(
position - 10,
position + 100,
)}`

View File

@ -0,0 +1,54 @@
import { calculateTokens } from "./calculate-tokens"
import { Language } from "./types"
function getTolerantCount(textLength: "4k" | "16k"): number {
const ratio = 0.8
if (textLength == "4k") {
return 4000 * ratio
}
return 16000
}
// TODO: This is a temporary solution. Because we don't know the language of the original text, we can't calculate the tokens accurately. Currently, only "Chinese to other languages" is supported.
export function llmModelSwitcherByTextLength(
text: string,
options: {
// If true, include the response in the text length calculation with the specified language
includeResponse?: { lang: Language }
} = {},
): {
modelSize: "4k" | "16k" | undefined
tokens: number
} {
const { includeResponse } = options
const tokens = calculateTokens(text)
const langRatioMapping: { [key in Language]: number } = {
en: 1.6,
ja: 1.25,
zh: 1,
"zh-TW": 1,
}
const finalCount =
tokens / (includeResponse ? langRatioMapping[includeResponse.lang] : 1)
if (finalCount < getTolerantCount("4k")) {
return {
modelSize: "4k",
tokens,
}
} else if (finalCount < getTolerantCount("16k")) {
return {
modelSize: "16k",
tokens,
}
}
return {
modelSize: undefined,
tokens,
}
}

View File

@ -1,5 +1,7 @@
import type { CharacterEntity, NoteEntity } from "crossbell"
export type Language = "en" | "zh" | "zh-TW" | "ja"
export type Site = {
id: string
name: string

View File

@ -6,7 +6,7 @@ import { gql } from "@urql/core"
import countCharacters from "~/lib/character-count"
import { expandCrossbellNote } from "~/lib/expand-unit"
import { ExpandedNote } from "~/lib/types"
import { ExpandedNote, Language } from "~/lib/types"
import { client } from "~/queries/graphql"
import filter from "../../data/filter.json"
@ -37,6 +37,7 @@ export async function getFeed({
useHTML,
useImageDimensions,
topic,
translateTo,
}: {
type?: FeedType
cursor?: string
@ -49,6 +50,7 @@ export async function getFeed({
useHTML?: boolean
useImageDimensions?: boolean
topic?: string
translateTo?: Language
}) {
if (type === "search" && !searchKeyword) {
type = "latest"
@ -144,6 +146,7 @@ export async function getFeed({
useScore: true,
useHTML,
useImageDimensions,
translateTo,
}),
),
)
@ -239,6 +242,7 @@ export async function getFeed({
note: page,
useHTML,
useImageDimensions,
translateTo,
})
if (expand.toNote) {
if (expand.toNote.toNote) {
@ -256,6 +260,7 @@ export async function getFeed({
note: expand.toNote,
useHTML,
useImageDimensions,
translateTo,
})
delete expand.toNote.toNote
}
@ -327,6 +332,7 @@ export async function getFeed({
useStat: true,
useHTML,
useImageDimensions,
translateTo,
}),
),
)
@ -366,6 +372,7 @@ export async function getFeed({
note: page,
useHTML,
useImageDimensions,
translateTo,
}),
),
)
@ -473,6 +480,7 @@ export async function getFeed({
note: page,
useHTML,
useImageDimensions,
translateTo,
}),
),
)
@ -549,6 +557,7 @@ export async function getFeed({
note: page,
useHTML,
useImageDimensions,
translateTo,
}),
),
)
@ -654,6 +663,7 @@ export async function getFeed({
useHTML,
useStat: true,
useImageDimensions,
translateTo,
})
return expand
},
@ -780,6 +790,7 @@ export async function getFeed({
useHTML,
useStat: true,
useImageDimensions,
translateTo,
})
return expand
},
@ -825,6 +836,7 @@ export async function getFeed({
keyword: searchKeyword,
useHTML,
useImageDimensions,
translateTo,
}),
),
)
@ -863,6 +875,7 @@ export async function getFeed({
useScore: true,
useHTML,
useImageDimensions,
translateTo,
}),
),
)

View File

@ -22,6 +22,7 @@ import { checkSlugReservedWords } from "~/lib/slug-reserved-words"
import { getKeys, getStorage } from "~/lib/storage"
import {
ExpandedNote,
Language,
NoteType,
PagesSortTypes,
PageVisibilityEnum,
@ -421,6 +422,7 @@ export async function getPage<TRender extends boolean = false>(input: {
noteId?: number
handle?: string // In order to be compatible with old drafts
disableAutofill?: boolean
translateTo?: Language
}) {
const mustLocal = input.slug?.startsWith("!local-") && !input.noteId
@ -572,6 +574,7 @@ export async function getPage<TRender extends boolean = false>(input: {
note: page,
useStat: input.useStat,
disableAutofill: input.disableAutofill,
translateTo: input.translateTo,
})
}

View File

@ -11,6 +11,7 @@ import { defaultLocale, locales } from "~/i18n"
import { toGateway } from "~/lib/ipfs-parser"
import prisma from "~/lib/prisma.server"
import { cacheGet } from "~/lib/redis.server"
import { Language } from "~/lib/types"
import * as pageModel from "~/models/page.model"
export const fetchGetPage = async (
@ -31,6 +32,7 @@ export const fetchGetPage = async (
useStat: input.useStat,
noteId: input.noteId,
handle: input.handle,
translateTo: input.translateTo,
}),
}) as Promise<ReturnType<typeof pageModel.getPage>>
})
@ -147,7 +149,7 @@ export async function getSummary({
noUpdate: true,
noExpire: true,
getValueFun: async () => {
if (locales.includes(lang)) {
if (locales.includes(lang as Language)) {
let result
await lock.acquire(cid, async () => {
const meta = await prisma.metadata.findFirst({