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import { t as rofetch } from "./ofetch-C3ts-Hud.mjs"; import { t as parseDate } from "./parse-date-Cr0wQjV_.mjs"; import { t as cache_default } from "./cache-BkqOokyU.mjs"; import { Fragment, jsx, jsxs } from "hono/jsx/jsx-runtime"; import { load } from "cheerio"; import { renderToString } from "hono/jsx/dom/server"; import { raw } from "hono/html"; //#region lib/routes/deeplearning/templates/description.tsx const Description = ({ images, intro, description }) => /* @__PURE__ */ jsxs(Fragment, { children: [ images?.map((image, index) => image?.src ? /* @__PURE__ */ jsx("figure", { children: /* @__PURE__ */ jsx("img", { src: image.src, alt: image.alt }) }, `${image.src}-${index}`) : null), intro ? /* @__PURE__ */ jsx("blockquote", { children: intro }) : null, description ? /* @__PURE__ */ jsx(Fragment, { children: raw(description) }) : null ] }); const renderDescription = (props) => renderToString(/* @__PURE__ */ jsx(Description, { ...props })); //#endregion //#region lib/routes/deeplearning/the-batch.ts const handler = async (ctx) => { const { tag } = ctx.req.param(); const limit = ctx.req.query("limit") ? Number(ctx.req.query("limit")) : 1; const rootUrl = "https://www.deeplearning.ai"; const currentUrl = new URL(`the-batch${tag ? `/tag/${tag.replace(/^tag\//, "").replace(/\/$/, "")}` : ""}/`, rootUrl).href; const $ = load(await rofetch(currentUrl)); const language = $("html").prop("lang"); const data = JSON.parse($("script#__NEXT_DATA__").text()); const nextBuildId = data.buildId; let items = (data.props?.pageProps?.posts ?? []).slice(0, limit).map((item) => { const title = item.title; const description = renderDescription({ images: item.feature_image ? [{ src: item.feature_image, alt: item.feature_image_alt }] : void 0, intro: item.excerpt ?? item.custom_excerpt }); const image = item.feature_image; const guid = `the-batch-${item.slug}`; return { title, description, pubDate: parseDate(item.published_at), link: new URL(`_next/data/${nextBuildId}/the-batch/${item.slug}.json`, rootUrl).href, category: item.tags.map((t) => t.name), guid, id: guid, content: { html: description, text: item.excerpt ?? item.custom_excerpt }, image, banner: image, language }; }); items = await Promise.all(items.map((item) => cache_default.tryGet(item.link, async () => { const post = (await rofetch(item.link)).pageProps?.post ?? void 0; if (!post) return item; const $$ = load(post.html); $$("a").each((_, ele) => { if (!ele.attribs.href?.includes("utm_campaign")) return; const url = new URL(ele.attribs.href); url.searchParams.delete("utm_campaign"); url.searchParams.delete("utm_source"); url.searchParams.delete("utm_medium"); url.searchParams.delete("_hsenc"); ele.attribs.href = url.href; }); const title = post.title; const description = renderDescription({ images: post.feature_image ? [{ src: post.feature_image, alt: post.feature_image_alt }] : void 0, intro: post.excerpt ?? post.custom_excerpt, description: $$.html() }); const guid = `the-batch-${post.slug}`; const image = post.feature_image; item.title = title; item.description = description; item.pubDate = parseDate(post.published_at); item.link = new URL(`the-batch/${post.slug}`, rootUrl).href; item.category = post.tags.map((t) => t.name); item.author = post.authors.map((a) => a.name).join("/"); item.guid = guid; item.id = guid; item.content = { html: description, text: post.excerpt ?? post.custom_excerpt }; item.image = image; item.banner = image; item.updated = parseDate(post.updated_at); item.language = language; return item; }))); const image = new URL($("meta[property=\"og:image\"]").prop("content"), rootUrl).href; return { title: $("title").text(), description: $("meta[property=\"og:description\"]").prop("content"), link: currentUrl, item: items, allowEmpty: true, image, author: $("meta[property=\"og:site_name\"]").prop("content"), language }; }; const route = { path: "/the-batch/:tag{.+}?", name: "The Batch", url: "www.deeplearning.ai", maintainers: [ "nczitzk", "juvenn", "TonyRL" ], handler, example: "/deeplearning/the-batch", parameters: { tag: "Tag, Weekly Issues by default" }, description: `::: tip If you subscribe to [Data Points](https://www.deeplearning.ai/the-batch/tag/data-points/),where the URL is \`https://www.deeplearning.ai/the-batch/tag/data-points/\`, extract the part \`https://www.deeplearning.ai/the-batch/tag\` to the end, which is \`data-points\`, and use it as the parameter to fill in. Therefore, the route will be [\`/deeplearning/the-batch/data-points\`](https://rsshub.app/deeplearning/the-batch/data-points). ::: | Tag | ID | | ---------------------------------------------------------------------- | -------------------------------------------------------------------- | | [Weekly Issues](https://www.deeplearning.ai/the-batch/) | [*null*](https://rsshub.app/deeplearning/the-batch) | | [Andrew's Letters](https://www.deeplearning.ai/the-batch/tag/letters/) | [letters](https://rsshub.app/deeplearning/the-batch/letters) | | [Data Points](https://www.deeplearning.ai/the-batch/tag/data-points/) | [data-points](https://rsshub.app/deeplearning/the-batch/data-points) | | [ML Research](https://www.deeplearning.ai/the-batch/tag/research/) | [research](https://rsshub.app/deeplearning/the-batch/research) | | [Business](https://www.deeplearning.ai/the-batch/tag/business/) | [business](https://rsshub.app/deeplearning/the-batch/business) | | [Science](https://www.deeplearning.ai/the-batch/tag/science/) | [science](https://rsshub.app/deeplearning/the-batch/science) | | [AI & Society](https://www.deeplearning.ai/the-batch/tag/ai-society/) | [ai-society](https://rsshub.app/deeplearning/the-batch/ai-society) | | [Culture](https://www.deeplearning.ai/the-batch/tag/culture/) | [culture](https://rsshub.app/deeplearning/the-batch/culture) | | [Hardware](https://www.deeplearning.ai/the-batch/tag/hardware/) | [hardware](https://rsshub.app/deeplearning/the-batch/hardware) | | [AI Careers](https://www.deeplearning.ai/the-batch/tag/ai-careers/) | [ai-careers](https://rsshub.app/deeplearning/the-batch/ai-careers) | #### [Letters from Andrew Ng](https://www.deeplearning.ai/the-batch/tag/letters/) | Tag | ID | | --------------------------------------------------------------------------------------- | -------------------------------------------------------------------------------------- | | [All](https://www.deeplearning.ai/the-batch/tag/letters/) | [letters](https://rsshub.app/deeplearning/the-batch/letters) | | [Personal Insights](https://www.deeplearning.ai/the-batch/tag/personal-insights/) | [personal-insights](https://rsshub.app/deeplearning/the-batch/personal-insights) | | [Technical Insights](https://www.deeplearning.ai/the-batch/tag/technical-insights/) | [technical-insights](https://rsshub.app/deeplearning/the-batch/technical-insights) | | [Business Insights](https://www.deeplearning.ai/the-batch/tag/business-insights/) | [business-insights](https://rsshub.app/deeplearning/the-batch/business-insights) | | [Tech & Society](https://www.deeplearning.ai/the-batch/tag/tech-society/) | [tech-society](https://rsshub.app/deeplearning/the-batch/tech-society) | | [DeepLearning.AI News](https://www.deeplearning.ai/the-batch/tag/deeplearning-ai-news/) | [deeplearning-ai-news](https://rsshub.app/deeplearning/the-batch/deeplearning-ai-news) | | [AI Careers](https://www.deeplearning.ai/the-batch/tag/ai-careers/) | [ai-careers](https://rsshub.app/deeplearning/the-batch/ai-careers) | | [Just For Fun](https://www.deeplearning.ai/the-batch/tag/just-for-fun/) | [just-for-fun](https://rsshub.app/deeplearning/the-batch/just-for-fun) | | [Learning & Education](https://www.deeplearning.ai/the-batch/tag/learning-education/) | [learning-education](https://rsshub.app/deeplearning/the-batch/learning-education) |`, categories: ["programming"], features: { requireConfig: false, requirePuppeteer: false, antiCrawler: false, supportRadar: true, supportBT: false, supportPodcast: false, supportScihub: false }, radar: [ { source: ["www.deeplearning.ai/the-batch", "www.deeplearning.ai/the-batch/tag/:tag/"], target: (params) => { const tag = params.tag; return `/the-batch${tag ? `/${tag}` : ""}`; } }, { title: "Weekly Issues", source: ["www.deeplearning.ai/the-batch/"], target: "/the-batch" }, { title: "Andrew's Letters", source: ["www.deeplearning.ai/the-batch/tag/letters/"], target: "/the-batch/letters" }, { title: "Data Points", source: ["www.deeplearning.ai/the-batch/tag/data-points/"], target: "/the-batch/data-points" }, { title: "ML Research", source: ["www.deeplearning.ai/the-batch/tag/research/"], target: "/the-batch/research" }, { title: "Business", source: ["www.deeplearning.ai/the-batch/tag/business/"], target: "/the-batch/business" }, { title: "Science", source: ["www.deeplearning.ai/the-batch/tag/science/"], target: "/the-batch/science" }, { title: "AI & Society", source: ["www.deeplearning.ai/the-batch/tag/ai-society/"], target: "/the-batch/ai-society" }, { title: "Culture", source: ["www.deeplearning.ai/the-batch/tag/culture/"], target: "/the-batch/culture" }, { title: "Hardware", source: ["www.deeplearning.ai/the-batch/tag/hardware/"], target: "/the-batch/hardware" }, { title: "AI Careers", source: ["www.deeplearning.ai/the-batch/tag/ai-careers/"], target: "/the-batch/ai-careers" }, { title: "Letters from Andrew Ng - All", source: ["www.deeplearning.ai/the-batch/tag/letters/"], target: "/the-batch/letters" }, { title: "Letters from Andrew Ng - Personal Insights", source: ["www.deeplearning.ai/the-batch/tag/personal-insights/"], target: "/the-batch/personal-insights" }, { title: "Letters from Andrew Ng - Technical Insights", source: ["www.deeplearning.ai/the-batch/tag/technical-insights/"], target: "/the-batch/technical-insights" }, { title: "Letters from Andrew Ng - Business Insights", source: ["www.deeplearning.ai/the-batch/tag/business-insights/"], target: "/the-batch/business-insights" }, { title: "Letters from Andrew Ng - Tech & Society", source: ["www.deeplearning.ai/the-batch/tag/tech-society/"], target: "/the-batch/tech-society" }, { title: "Letters from Andrew Ng - DeepLearning.AI News", source: ["www.deeplearning.ai/the-batch/tag/deeplearning-ai-news/"], target: "/the-batch/deeplearning-ai-news" }, { title: "Letters from Andrew Ng - AI Careers", source: ["www.deeplearning.ai/the-batch/tag/ai-careers/"], target: "/the-batch/ai-careers" }, { title: "Letters from Andrew Ng - Just For Fun", source: ["www.deeplearning.ai/the-batch/tag/just-for-fun/"], target: "/the-batch/just-for-fun" }, { title: "Letters from Andrew Ng - Learning & Education", source: ["www.deeplearning.ai/the-batch/tag/learning-education/"], target: "/the-batch/learning-education" } ] }; //#endregion export { handler, route };