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- Introduced a `ProcessingMode` enum to differentiate between basic and premium processing modes. - Updated `EtlRequest` to include a `processing_mode` field, defaulting to basic. - Enhanced ETL pipeline services to utilize the selected processing mode for Azure Document Intelligence and LlamaCloud parsing. - Modified various routes and services to handle processing mode, affecting document upload and indexing tasks. - Improved error handling and logging to include processing mode details. - Added tests to validate processing mode functionality and its impact on ETL operations.
173 lines
4.2 KiB
TypeScript
173 lines
4.2 KiB
TypeScript
interface JsonLdProps {
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data: Record<string, unknown>;
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}
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export function JsonLd({ data }: JsonLdProps) {
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return (
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// biome-ignore lint/security/noDangerouslySetInnerHtml: JSON-LD structured data requires dangerouslySetInnerHTML for script injection
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<script type="application/ld+json" dangerouslySetInnerHTML={{ __html: JSON.stringify(data) }} />
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);
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}
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export function OrganizationJsonLd() {
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return (
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<JsonLd
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data={{
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"@context": "https://schema.org",
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"@type": "Organization",
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name: "SurfSense",
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url: "https://surfsense.com",
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logo: "https://surfsense.com/logo.png",
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description:
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"Open source NotebookLM alternative for teams with no data limits. Use ChatGPT, Claude AI, and any AI model for free.",
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sameAs: ["https://github.com/MODSetter/SurfSense", "https://discord.gg/Cg2M4GUJ"],
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contactPoint: {
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"@type": "ContactPoint",
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email: "rohan@surfsense.com",
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contactType: "sales",
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},
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}}
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/>
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);
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}
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export function WebSiteJsonLd() {
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return (
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<JsonLd
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data={{
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"@context": "https://schema.org",
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"@type": "WebSite",
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name: "SurfSense",
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url: "https://surfsense.com",
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description:
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"Open source NotebookLM alternative for teams with no data limits. Free ChatGPT, Claude AI, and any AI model.",
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potentialAction: {
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"@type": "SearchAction",
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target: {
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"@type": "EntryPoint",
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urlTemplate: "https://surfsense.com/docs?search={search_term_string}",
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},
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"query-input": "required name=search_term_string",
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},
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}}
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/>
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);
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}
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export function SoftwareApplicationJsonLd() {
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return (
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<JsonLd
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data={{
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"@context": "https://schema.org",
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"@type": "SoftwareApplication",
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name: "SurfSense",
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applicationCategory: "BusinessApplication",
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operatingSystem: "Windows, macOS, Linux, Web",
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offers: {
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"@type": "Offer",
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price: "0",
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priceCurrency: "USD",
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description: "Free plan with 500 pages included",
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},
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description:
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"Open source NotebookLM alternative with free access to ChatGPT, Claude AI, and any model. Connect Slack, Google Drive, Notion, Confluence, GitHub, and dozens more data sources.",
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url: "https://surfsense.com",
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downloadUrl: "https://github.com/MODSetter/SurfSense/releases",
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featureList: [
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"Free access to ChatGPT, Claude AI, and any AI model",
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"AI-powered semantic search across all connected tools",
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"Federated search across Slack, Google Drive, Notion, Confluence, GitHub",
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"No data limits with open source self-hosting",
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"Real-time collaborative team chats",
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"Document Q&A with citations",
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"Report generation",
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"Podcast and video generation from sources",
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"Enterprise knowledge management",
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"Self-hostable and privacy-focused",
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],
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}}
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/>
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);
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}
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export function ArticleJsonLd({
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title,
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description,
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url,
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datePublished,
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author,
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image,
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}: {
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title: string;
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description: string;
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url: string;
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datePublished: string;
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author: string;
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image?: string;
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}) {
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return (
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<JsonLd
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data={{
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"@context": "https://schema.org",
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"@type": "Article",
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headline: title,
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description,
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url,
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datePublished,
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author: {
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"@type": "Organization",
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name: author,
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},
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publisher: {
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"@type": "Organization",
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name: "SurfSense",
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logo: {
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"@type": "ImageObject",
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url: "https://surfsense.com/logo.png",
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},
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},
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image: image || "https://surfsense.com/og-image.png",
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mainEntityOfPage: {
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"@type": "WebPage",
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"@id": url,
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},
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}}
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/>
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);
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}
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export function BreadcrumbJsonLd({ items }: { items: { name: string; url: string }[] }) {
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return (
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<JsonLd
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data={{
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"@context": "https://schema.org",
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"@type": "BreadcrumbList",
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itemListElement: items.map((item, index) => ({
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"@type": "ListItem",
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position: index + 1,
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name: item.name,
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item: item.url,
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})),
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}}
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/>
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);
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}
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export function FAQJsonLd({ questions }: { questions: { question: string; answer: string }[] }) {
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return (
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<JsonLd
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data={{
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"@context": "https://schema.org",
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"@type": "FAQPage",
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mainEntity: questions.map((q) => ({
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"@type": "Question",
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name: q.question,
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acceptedAnswer: {
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"@type": "Answer",
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text: q.answer,
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},
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})),
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}}
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/>
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);
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}
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