rsshub
Version:
Make RSS Great Again!
267 lines (261 loc) • 11.5 kB
JavaScript
import { n as init_esm_shims, t as __dirname } from "./esm-shims-CzJ_djXG.mjs";
import "./config-C37vj7VH.mjs";
import "./dist-BInvbO1W.mjs";
import "./logger-Czu8UMNd.mjs";
import { t as ofetch_default } from "./ofetch-BIyrKU3Y.mjs";
import { t as parseDate } from "./parse-date-BrP7mxXf.mjs";
import { t as cache_default } from "./cache-Bo__VnGm.mjs";
import { t as art } from "./render-BQo6B4tL.mjs";
import path from "node:path";
import { load } from "cheerio";
//#region lib/routes/deeplearning/the-batch.ts
init_esm_shims();
const handler = async (ctx) => {
const { tag } = ctx.req.param();
const limit = ctx.req.query("limit") ? Number.parseInt(ctx.req.query("limit"), 10) : 1;
const rootUrl = "https://www.deeplearning.ai";
const currentUrl = new URL(`the-batch${tag ? `/tag/${tag.replace(/^tag\//, "").replace(/\/$/, "")}` : ""}/`, rootUrl).href;
const $ = load(await ofetch_default(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 = art(path.join(__dirname, "templates/description-881baa33.art"), {
images: item.feature_image ? [{
src: item.feature_image,
alt: item.feature_image_alt
}] : void 0,
intro: item.excerpt ?? item.custom_excerpt
});
const image$1 = item.feature_image;
const guid = `the-batch-${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: image$1,
banner: image$1,
language
};
});
items = await Promise.all(items.map((item) => cache_default.tryGet(item.link, async () => {
const post = (await ofetch_default(item.link)).pageProps?.post ?? void 0;
if (!post) return item;
const $$ = load(post.html);
$$("a").each((_, ele) => {
if (ele.attribs.href?.includes("utm_campaign")) {
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 = art(path.join(__dirname, "templates/description-881baa33.art"), {
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$1 = post.feature_image;
item.title = title;
item.description = description;
item.pubDate = parseDate(post.published_at);
item.link = new URL(`the-batch/${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$1;
item.banner = image$1;
item.updated = parseDate(post.updated_at);
item.language = language;
return item;
})));
const image = new URL($("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 };