153 lines
4.3 KiB
TypeScript
153 lines
4.3 KiB
TypeScript
import { urlRewriteRuntime } from "~/libs/runtime"
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import { cleanUrl } from "~/libs/clean-url"
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import { getSearxngURL, isSearxngJSONMode, getIsSimpleInternetSearch, totalSearchResults } from "@/services/search"
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import { pageAssistEmbeddingModel } from "@/models/embedding"
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import type { Document } from "@langchain/core/documents"
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import { MemoryVectorStore } from "langchain/vectorstores/memory"
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import { PageAssistHtmlLoader } from "~/loader/html"
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import {
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defaultEmbeddingModelForRag,
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getOllamaURL
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} from "~/services/ollama"
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import { getPageAssistTextSplitter } from "@/utils/text-splitter"
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interface SearxNGJSONResult {
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title: string
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url: string
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content: string
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}
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interface SearxNGJSONResponse {
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results: SearxNGJSONResult[]
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}
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export const searxngSearch = async (query: string) => {
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const searxngURL = await getSearxngURL()
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if (!searxngURL) {
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throw new Error("SearXNG URL not configured")
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}
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const isJSONMode = await isSearxngJSONMode()
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const results = isJSONMode
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? await searxngJSONSearch(searxngURL, query)
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: await searxngWebSearch(searxngURL, query)
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const TOTAL_SEARCH_RESULTS = await totalSearchResults()
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const searchResults = results.slice(0, TOTAL_SEARCH_RESULTS)
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const isSimpleMode = await getIsSimpleInternetSearch()
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if (isSimpleMode) {
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await getOllamaURL()
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return searchResults.map((result) => {
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return {
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url: result.link,
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content: result.content
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}
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})
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}
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const docs: Document<Record<string, any>>[] = []
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try {
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for (const result of searchResults) {
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const loader = new PageAssistHtmlLoader({
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html: "",
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url: result.link
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})
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const documents = await loader.loadByURL()
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documents.forEach((doc) => {
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docs.push(doc)
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})
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}
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} catch (error) {
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console.error(error)
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}
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const ollamaUrl = await getOllamaURL()
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const embeddingModel = await defaultEmbeddingModelForRag()
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const ollamaEmbedding = await pageAssistEmbeddingModel({
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model: embeddingModel || "",
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baseUrl: cleanUrl(ollamaUrl)
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})
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const textSplitter = await getPageAssistTextSplitter();
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const chunks = await textSplitter.splitDocuments(docs)
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const store = new MemoryVectorStore(ollamaEmbedding)
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await store.addDocuments(chunks)
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const resultsWithEmbeddings = await store.similaritySearch(query, 3)
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const searchResult = resultsWithEmbeddings.map((result) => {
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return {
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url: result.metadata.url,
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content: result.pageContent
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}
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})
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return searchResult
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}
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const searxngJSONSearch = async (baseURL: string, query: string) => {
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const searchURL = `${cleanUrl(baseURL)}?q=${encodeURIComponent(query)}&format=json`
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const abortController = new AbortController()
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setTimeout(() => abortController.abort(), 20000)
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try {
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const response = await fetch(searchURL, {
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signal: abortController.signal,
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headers: {
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'Accept': 'application/json'
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}
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})
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if (!response.ok) {
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throw new Error(`SearXNG search failed: ${response.statusText}`)
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}
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const data = await response.json() as SearxNGJSONResponse
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return data.results.map(result => ({
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title: result.title,
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link: result.url,
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content: result.content
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}))
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} catch (error) {
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console.error('SearXNG JSON search failed:', error)
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return []
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}
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}
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const searxngWebSearch = async (baseURL: string, query: string) => {
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const searchURL = `${cleanUrl(baseURL)}?q=${encodeURIComponent(query)}`
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await urlRewriteRuntime(cleanUrl(searchURL), "searxng")
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const abortController = new AbortController()
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setTimeout(() => abortController.abort(), 10000)
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try {
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const htmlString = await fetch(searchURL, {
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signal: abortController.signal
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}).then(response => response.text())
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const parser = new DOMParser()
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const doc = parser.parseFromString(htmlString, "text/html")
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const searchResults = Array.from(doc.querySelectorAll("article.result")).map(result => {
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const title = result.querySelector("h3")?.textContent?.trim()
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const link = result.querySelector("a.url_header")?.getAttribute("href")
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const content = result.querySelector("p.content")?.textContent?.trim()
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return { title, link, content }
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}).filter(result => result.title && result.link && result.content)
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return searchResults
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} catch (error) {
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console.error('SearXNG web search failed:', error)
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return []
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}
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}
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