[{"_1":2,"_3":-5,"_4":-5},"loaderData",{"_5":6,"_7":8,"_9":10},"actionData","errors","root",{"_240":241,"_242":243},"routes/_app.x.$handle.$name",{"_109":108,"_38":51,"_117":96,"_33":118,"_13":14,"_119":-5,"_11":120,"_121":122,"_123":124,"_125":126,"_127":128,"_26":-5,"_129":130,"_131":132,"_133":31,"_134":135,"_136":65,"_137":-5,"_138":-5,"_139":140},"routes/_app.x.$handle.$name.branch.$branch.version.$version.diff",{"_11":12,"_13":14,"_15":16,"_17":18,"_19":-5},"project",{"_49":50,"_38":51,"_44":52,"_53":-5,"_54":31,"_55":56,"_57":56,"_58":59,"_60":-5,"_19":61,"_62":63,"_64":65,"_66":-5,"_67":-5,"_68":69,"_70":71,"_72":73,"_74":75,"_76":77,"_78":-5,"_79":80,"_81":80,"_82":83,"_84":83,"_85":83,"_86":80,"_87":80,"_88":89,"_90":91,"_92":93,"_94":31},"version",11,"changes",[25],"aiChatInfo",{"_20":21,"_22":-5,"_23":-5,"_24":-5},"userId","aiChatMessageId","ed6503ca-ce86-423b-b13a-a856eea3710f","aiChatThreadId","aiChatThreadUserId","aiChatThreadTitle",{"_26":27,"_28":29,"_30":31,"_32":31,"_33":34,"_35":34},"file",{"_36":37,"_38":34,"_39":40,"_41":43,"_44":45,"_46":14,"_47":48,"_30":31},"previous",{"_36":37,"_38":34,"_39":40,"_41":42},"deleted",false,"deletedHere","path","scraper.ts","latestPath","fileId","01a08bfd-346d-72ac-8a3b-35070e4ea120","name","fileType","script","content","// ACM Queue scraper — fetches recent articles from queue.acm.org.\n// The listing page (https://queue.acm.org/listing.cfm?item_type=article) links\n// each article as /detail.cfm?id=. We parse those anchors, then enrich\n// each entry from the article's own detail page (citation_* meta tags).\n\nimport * as cheerio from \"npm:cheerio@1.0.0\";\nimport { sqlite } from \"https://esm.town/v/std/sqlite/main.ts\";\n\nconst LISTING_URL = \"https://queue.acm.org/listing.cfm?item_type=article\";\nconst BASE_URL = \"https://queue.acm.org\";\nconst MAX_ITEMS = 25;\n\nexport interface QueueArticle {\n slug: string; // ACM id, e.g. \"1234567\"\n title: string;\n authors: string | null;\n pubDate: string;\n description: string | null;\n link: string;\n}\n\nfunction parseDate(dateStr: string): string {\n const cleaned = dateStr.replace(/\\s+/g, \" \").trim();\n const d = new Date(cleaned);\n return isNaN(d.getTime()) ? cleaned : d.toISOString();\n}\n\n/** Fetch the listing page and pull out detail.cfm article links. */\nexport async function fetchQueueArticles(): Promise {\n const res = await fetch(LISTING_URL, {\n headers: {\n \"User-Agent\": \"ACM-Queue-RSS-Bot/1.0 (Val Town; unofficial RSS feed generator)\",\n \"Accept\": \"text/html\",\n },\n });\n if (!res.ok) {\n throw new Error(`Failed to fetch ACM Queue listing: ${res.status} ${res.statusText}`);\n }\n\n const $ = cheerio.load(await res.text());\n const seen = new Set();\n const entries: QueueArticle[] = [];\n\n $('a[href*=\"detail.cfm?id=\"]').each((_i, a) => {\n const href = $(a).attr(\"href\") || \"\";\n const m = href.match(/detail\\.cfm\\?id=(\\d+)/i);\n if (!m) return;\n const slug = m[1];\n if (seen.has(slug)) return;\n seen.add(slug);\n const link = new URL(href, BASE_URL).toString();\n const title = $(a).text().replace(/\\s+/g, \" \").trim();\n if (!title) return;\n entries.push({ slug, title, authors: null, pubDate: \"\", description: null, link });\n });\n\n // Enrich from each detail page (title/authors/abstract/date), capped\n const detailed = await Promise.all(entries.slice(0, MAX_ITEMS).map(async (entry) => {\n try {\n const res = await fetch(entry.link, {\n headers: { \"User-Agent\": \"ACM-Queue-RSS-Bot/1.0 (Val Town)\" },\n });\n if (!res.ok) return entry;\n const $p = cheerio.load(await res.text());\n const meta = (name: string) =>\n $p(`meta[name=\"${name}\"], meta[property=\"${name}\"]`).attr(\"content\")?.trim() || null;\n\n entry.title = meta(\"citation_title\") ?? meta(\"og:title\") ?? entry.title;\n const authors = $p('meta[name=\"citation_author\"]').toArray()\n .map((el) => $p(el).attr(\"content\")?.trim()).filter(Boolean) as string[];\n entry.authors = authors.length ? authors.join(\", \") : null;\n entry.description = meta(\"citation_abstract\") ?? meta(\"og:description\") ?? meta(\"description\");\n const date = meta(\"citation_online_date\") ?? meta(\"citation_publication_date\") ?? meta(\"DC.Date\");\n if (date) entry.pubDate = parseDate(date);\n return entry;\n } catch (err) {\n console.warn(`Failed to enrich ${entry.link}: ${err}`);\n return entry;\n }\n }));\n\n console.log(`Parsed ${detailed.length} ACM Queue articles`);\n return detailed;\n}\n\n/** Upsert articles into SQLite. Returns rows affected. */\nexport async function upsertEntries(entries: QueueArticle[]): Promise {\n if (entries.length === 0) return 0;\n\n const statements = entries.map((entry) => ({\n sql: `INSERT INTO queue_articles (slug, title, authors, pub_date, description, link)\n VALUES (?, ?, ?, ?, ?, ?)\n ON CONFLICT(slug) DO UPDATE SET\n title = excluded.title,\n authors = excluded.authors,\n pub_date = CASE WHEN excluded.pub_date = '' THEN queue_articles.pub_date ELSE excluded.pub_date END,\n description = COALESCE(excluded.description, queue_articles.description),\n link = excluded.link,\n updated_at = datetime('now')`,\n args: [entry.slug, entry.title, entry.authors, entry.pubDate, entry.description, entry.link],\n }));\n\n const results = await sqlite.batch(statements);\n return results.reduce((sum, r) => sum + (r.rowsAffected ?? 0), 0);\n}\n\n/** Full scrape + store pipeline. Returns summary. */\nexport async function scrapeAndStore(): Promise {\n const entries = await fetchQueueArticles();\n const count = await upsertEntries(entries);\n const msg = `Scraped ${entries.length} articles, upserted ${count}`;\n console.log(msg);\n return msg;\n}\n","// ACM Queue scraper — fetches recent articles from queue.acm.org.\n// The listing page (https://queue.acm.org/listing.cfm?item_type=article) links\n// each article as /detail.cfm?id=. 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Returns summary. */\nexport async function scrapeAndStore(): Promise {\n const entries = await fetchQueueArticles();\n const count = await upsertEntries(entries);\n const msg = `Scraped ${entries.length} articles, upserted ${count}`;\n console.log(msg);\n return msg;\n}\n","createdAt",["D",1789058251749],"branchVersion","branchId","ea6eabf2-9cae-40e3-b677-a6554a6f68c3","id","85f81756-4d6c-4031-ada5-d90abfb110d6","acm-queue-rss",["D",1789055022114],"deletedAt","legacyEnvVars","privacy","public","httpPrivacy","description","Unofficial RSS feed for the ACM Queue ","imageUrl","660e611e-30de-4ed3-8449-79507be25f74","pinnedFileId","01a08bfd-346d-72ac-8a3b-2b364bb97477","pinPreview",true,"pinMigrated","screenshotVersion","likeCount",0,"orgId","f4053730-af3b-4f20-9c5e-6d19f910dfd0","tursoName","85f817564d6c4031ada5d90abfb110d6","tursoHostname","85f817564d6c4031ada5d90abfb110d6-val-town.aws-us-east-2.turso.io","tursoMeasuredAt",["D",1789488693443],"pinned","userPerm","r","valPerm","blobPerm","rw","emailPerm","sqlitePerm","projectPerm","telemetryPerm","user",{"_109":108,"_116":112},"org",{"_109":108,"_110":-5,"_111":112,"_19":61,"_113":114,"_115":31},"branch",{"_13":95,"_38":96,"_49":48,"_97":50,"_98":99,"_100":101,"_102":56,"_103":104,"_105":71,"_106":51,"_107":108},"isOwned",16,"main","projectId","forkedBranchId","97df149b-8210-434c-b3d7-1d1b2ce3d5cf","forkedBranchVersion",10,"forkedProjectPrivacy","forkedProjectId","7f8d8abb-937e-4199-a86a-87d156d4c9e5","forkedProjectOrgId","projectName","userHandle","hrbrmstr","handle","displayName","avatar","https://img.clerk.com/eyJ0eXBlIjoicHJveHkiLCJzcmMiOiJodHRwczovL2ltYWdlcy5jbGVyay5kZXYvb2F1dGhfZ2l0aHViL2ltZ18ybTQ2MzZSZEl6dm1wZjZnT1hJM2NGNjFCbWgifQ","tier","pro","canRestrictVals","profileImageUrl","branchName","","adoptOrgId",{"_49":50,"_38":51,"_44":235,"_53":-5,"_54":31,"_55":56,"_57":56,"_58":59,"_60":-5,"_19":61,"_62":63,"_64":65,"_66":-5,"_67":-5,"_68":69,"_70":71,"_72":73,"_74":75,"_76":236,"_78":-5,"_79":80,"_81":80,"_82":83,"_84":83,"_85":83,"_86":80,"_87":80,"_88":237,"_90":238,"_92":239,"_94":31},"tree",[210,211,212,213,214,215],"files",[210,211,212,213,214,215],"counts",{"_200":69,"_201":169,"_202":69,"_203":204,"_205":206},"contents",[151,152,153,154,155,156],"upstreamProject",{"_49":104,"_38":148,"_58":149,"_60":-5,"_55":56,"_88":150},"upstreamBranch",{"_49":99,"_44":141,"_142":143,"_38":96,"_97":104,"_13":101,"_98":144,"_100":145,"_146":147,"_53":-5,"_94":31,"_55":56,"_107":108,"_70":71,"_106":148},"emptyEnvVars","flags",[],"hasHttpFiles","grants","orgs","customDomains",{},["D",1788854229386],"updatedAt",["D",1788854760503],"e6d4b62a-460c-11f1-9efa-42b51c65c3df",13,"lockfileKey","1788854761158-esm.town_v_hrbrmstr_mire-rss@10-main","mire-rss","Unofficial RSS feed for the MIRE/C³ blog (mire.cc/the-blog)",{"_109":108,"_116":112},{"_49":194,"_38":195,"_36":196,"_158":-5,"_47":48,"_46":101,"_159":31,"_44":197,"_13":169,"_39":26,"_41":198,"_30":31,"_162":-5,"_33":199},{"_49":186,"_38":187,"_36":188,"_158":-5,"_47":48,"_46":189,"_159":65,"_44":190,"_13":169,"_39":191,"_41":192,"_30":31,"_162":-5,"_33":193},{"_49":179,"_38":180,"_36":63,"_158":-5,"_47":48,"_46":181,"_159":65,"_44":182,"_13":169,"_39":183,"_41":184,"_30":31,"_162":51,"_33":185},{"_49":172,"_38":173,"_36":174,"_158":-5,"_47":48,"_46":175,"_159":65,"_44":176,"_13":169,"_39":40,"_41":177,"_30":31,"_162":-5,"_33":178},{"_49":164,"_38":165,"_36":166,"_158":-5,"_47":48,"_46":167,"_159":65,"_44":168,"_13":169,"_39":40,"_41":170,"_30":31,"_162":-5,"_33":171},{"_49":157,"_38":34,"_36":37,"_158":-5,"_47":48,"_46":14,"_159":31,"_44":160,"_13":161,"_39":40,"_41":43,"_30":31,"_162":-5,"_33":163},"5eadc92a-70e1-47b1-9645-0ea19da7427f","parentId","latest",["D",1789058251749],5,"label",[34],"2bff89d2-9f05-4c20-947e-bd902484493f","rss.ts","01a08bfd-346d-72ac-8a3b-311cfa1579c9",6,["D",1789057825197],1,"// RSS feed generator — reads ACM Queue articles from SQLite and serves RSS 2.0 XML.\n\nimport { sqlite } from \"https://esm.town/v/std/sqlite/main.ts\";\n\nconst FEED_TITLE = \"ACM Queue\";\nconst FEED_DESCRIPTION = \"DevOps, distributed systems, databases, security and other hard problems — the latest from ACM Queue (unofficial feed).\";\nconst FEED_LINK = \"https://queue.acm.org/\";\n\n/**\n * Escape XML special characters.\n */\nfunction escapeXml(str: string): string {\n return str\n .replace(/&/g, \"&\")\n .replace(//g, \">\")\n .replace(/\"/g, \""\")\n .replace(/'/g, \"'\");\n}\n\n/**\n * Generate RSS 2.0 XML from stored ACM Queue articles.\n */\nexport async function generateRss(feedUrl: string): Promise {\n const result = await sqlite.execute(\n \"SELECT slug, title, authors, pub_date, description, link FROM queue_articles ORDER BY pub_date DESC LIMIT 50\",\n );\n\n const items = result.rows\n .map((row) => {\n const title = escapeXml(String(row.title ?? \"\"));\n const link = escapeXml(String(row.link ?? \"\"));\n const description = row.description ? escapeXml(String(row.description)) : \"\";\n const authors = row.authors ? `${escapeXml(String(row.authors))}` : \"\";\n const pubDate = row.pub_date ? new Date(String(row.pub_date)).toUTCString() : \"\";\n const guid = escapeXml(String(row.slug ?? \"\"));\n\n return ` \n ${title}\n ${link}\n ${description}\n ${authors}\n ${pubDate}\n ${guid}\n `;\n })\n .join(\"\\n\");\n\n const lastBuildDate = new Date().toUTCString();\n\n return `\n\n \n ${escapeXml(FEED_TITLE)}\n ${escapeXml(FEED_LINK)}\n ${escapeXml(FEED_DESCRIPTION)}\n en-us\n ${lastBuildDate}\n \n${items}\n \n`;\n}\n",[165],"2d4eb111-4e3f-4940-8de1-4182d7fef4c7","main.ts","01a08bfd-346d-72ac-8a3b-2e9fa8edfdfb",7,["D",1789057825287],"// Database initialization script — run once to set up the schema.\n// Can be re-run safely (uses IF NOT EXISTS).\n\nimport { sqlite } from \"https://esm.town/v/std/sqlite/main.ts\";\n\nawait sqlite.execute(`\n CREATE TABLE IF NOT EXISTS queue_articles (\n id INTEGER PRIMARY KEY AUTOINCREMENT,\n slug TEXT UNIQUE NOT NULL,\n title TEXT NOT NULL,\n authors TEXT,\n pub_date TEXT NOT NULL DEFAULT '',\n description TEXT,\n link TEXT NOT NULL,\n created_at TEXT DEFAULT (datetime('now')),\n updated_at TEXT DEFAULT (datetime('now'))\n )\n`);\n\nawait sqlite.execute(`\n CREATE INDEX IF NOT EXISTS idx_queue_articles_pub_date ON queue_articles(pub_date DESC)\n`);\n\nconsole.log(\"✅ Database schema initialized\");\n",[173],"5aa83287-61b0-4e4b-bea6-0160ec948408","feed.ts",9,["D",1789058115894],"http","// HTTP endpoint — serves the ACM Queue RSS feed and a simple landing page.\nimport { generateRss } from \"./rss.ts\";\nimport { parseVal } from \"https://esm.town/v/std/utils/index.ts\";\n\nexport default async function(req: Request): Promise {\n const url = new URL(req.url);\n const feedUrl = `${url.origin}/feed`;\n\n // Serve RSS feed at /feed or when Accept header prefers XML\n if (url.pathname === \"/feed\" || url.pathname === \"/rss\") {\n const xml = await generateRss(feedUrl);\n return new Response(xml, {\n headers: {\n \"Content-Type\": \"application/rss+xml; charset=utf-8\",\n \"Cache-Control\": \"public, max-age=3600\",\n },\n });\n }\n\n // Source redirect\n if (url.pathname === \"/source\") {\n const { links } = parseVal();\n return new Response(null, { status: 302, headers: { Location: links.self.val } });\n }\n\n // Landing page at root\n const { links } = parseVal();\n const html = `\n\n\n \n \n ACM Queue RSS Feed\n \n \n\n\n

📡

ACM Queue RSS Feed

\n An unofficial RSS feed for\n ACM Queue.\n Updated daily.\n

\n\n

RSS Feed URL:

\n ${feedUrl}\n

\n\n

\n \n 📰 View RSS Feed\n \n \n 🔗 View Source\n \n

\n\n

\n Scrapes queue.acm.org daily.\n Not affiliated with ACM.\n

\n \n\n`;\n\n return new Response(html, {\n headers: { \"Content-Type\": \"text/html; charset=utf-8\" },\n });\n}\n",[180],"75e1a45a-821f-42e0-a7d8-b0ead3141d78","cron.ts","01a08bfd-346d-72ac-8a3b-2593a6ba7a32",8,["D",1789057825343],"interval","// Daily scraper cron — runs once per day to fetch and store new ACM Queue articles.\nimport { scrapeAndStore } from \"./scraper.ts\";\n\nexport default async function (_interval: Interval) {\n const result = await scrapeAndStore();\n console.log(`[cron] ${new Date().toISOString()} — ${result}`);\n}\n",[187],"a0f38527-5eff-401a-8dbf-2ee62de6e118","README.md","01a08bfd-346d-72ac-8a3b-2008ffc6c2a6",["D",1789058115961],"# 📡 ACM Queue RSS Feed\n\nAn unofficial RSS feed for [ACM Queue](https://queue.acm.org/), which\ndoesn't provide one natively.\n\n## Usage\n\nSubscribe to the feed in your RSS reader:\n\n```\nhttps://acm-queue-rss.val.run/feed\n```\n\n## How it works\n\n```mermaid\nflowchart LR\n A[queue.acm.org] -->|scrape HTML| B[scraper.ts]\n B -->|upsert| C[(SQLite)]\n D[cron.ts] -->|daily trigger| B\n E[RSS Reader] -->|GET /feed| F[feed.ts]\n F -->|query| C\n F -->|render| G[RSS 2.0 XML]\n G --> E\n```\n\n### Components\n\n| File | Type | Purpose |\n| ------------ | -------- | ---------------------------------------------------------------- |\n| `feed.ts` | HTTP | Serves the RSS feed at `/feed` and a landing page at `/` |\n| `cron.ts` | Interval | Runs daily to scrape and store new ACM Queue articles |\n| `scraper.ts` | Script | Fetches and parses articles from queue.acm.org |\n| `rss.ts` | Script | Generates RSS 2.0 XML from stored articles |\n| `main.ts` | Script | One-time database schema initialization |\n\n### Endpoints\n\n- **`/`** — Landing page with feed URL and links\n- **`/feed`** or **`/rss`** — RSS 2.0 XML feed\n- **`/source`** — Redirect to this val's source code\n\n### Scraper details\n\nACM Queue is a classic ColdFusion site. The scraper fetches the article\nlisting page (`listing.cfm?item_type=article`), where each article is\nlinked as `detail.cfm?id=`. It then visits each article's detail\npage (up to 25 per run) and enriches the entry from the embedded\n`citation_*` meta tags — Google Scholar / Highwire metadata:\n\n- `citation_title` — article title\n- `citation_author` — authors (joined with commas)\n- `citation_abstract` / `og:description` — used as the item description\n- `citation_online_date` / `citation_publication_date` — publication date\n\nEntries are upserted into SQLite keyed by the ACM article id, and the feed\nserves the 50 most recent articles sorted by publication date.\n\n## Not affiliated with ACM\n",[195],"pulls","branches","forks","envVars",{"_207":69,"_209":69},"connections",{"_207":69,"_208":69},"count","unfilledCount","emptyCount",{"_49":194,"_38":195,"_36":196,"_158":-5,"_47":48,"_46":101,"_159":31,"_44":232,"_13":169,"_39":26,"_41":198,"_30":31,"_162":-5,"_217":233,"_33":234},{"_49":186,"_38":187,"_36":188,"_158":-5,"_47":48,"_46":189,"_159":65,"_44":229,"_13":169,"_39":191,"_41":192,"_30":31,"_162":-5,"_217":230,"_33":231},{"_49":179,"_38":180,"_36":63,"_158":-5,"_47":48,"_46":181,"_159":65,"_44":226,"_13":169,"_39":183,"_41":184,"_30":31,"_162":51,"_217":227,"_33":228},{"_49":172,"_38":173,"_36":174,"_158":-5,"_47":48,"_46":175,"_159":65,"_44":223,"_13":169,"_39":40,"_41":177,"_30":31,"_162":-5,"_217":224,"_33":225},{"_49":164,"_38":165,"_36":166,"_158":-5,"_47":48,"_46":167,"_159":65,"_44":220,"_13":169,"_39":40,"_41":170,"_30":31,"_162":-5,"_217":221,"_33":222},{"_49":157,"_38":34,"_36":37,"_158":-5,"_47":48,"_46":14,"_159":31,"_44":216,"_13":161,"_39":40,"_41":43,"_30":31,"_162":-5,"_217":218,"_33":219},["D",1789058251749],"children",[],[34],["D",1789057825197],[],[165],["D",1789057825287],[],[173],["D",1789058115894],[],[180],["D",1789057825343],[],[187],["D",1789058115961],[],[195],["D",1789055022114],["D",1789488693443],{"_109":108,"_116":112},{"_109":108,"_110":-5,"_111":112,"_19":61,"_113":114,"_115":31},{"_13":95,"_38":96,"_49":48,"_97":50,"_98":99,"_100":101,"_102":56,"_103":104,"_105":71,"_106":51,"_107":108},"ctx",{"_88":-5,"_138":273,"_274":275,"_276":277,"_278":31,"_279":31,"_280":31,"_281":65,"_282":-5,"_283":-7,"_284":-7,"_285":69,"_286":31,"_287":31,"_288":-5,"_289":31,"_290":31,"_291":31,"_292":-5},"ENV",{"_244":245,"_246":247,"_248":96,"_249":250,"_251":252,"_253":254,"_255":256,"_257":258,"_259":260,"_261":262,"_263":264,"_265":266,"_267":268,"_269":270,"_271":272},"REACT_APP_SENTRY_DSN","https://586020d86f05489db63a554690acf1e9@o1398359.ingest.sentry.io/6724499","RENDER_GIT_COMMIT","e87eb04e707cf64e7e532c8e8ec395f209e17f15","RENDER_GIT_BRANCH","POSTHOG_API_TOKEN","phc_nmoyuAkStEZuUp69rYlg1DZgrIt19Gx0Y4Hwf8tGgJP","POSTHOG_API_HOST","https://wart.val.town","WEB_API_TEMPLATE","https://{val}.web.val.run","APP_URL","https://www.val.town","MODULE_URL","https://esm.town","VANITY_WEB_API_TEMPLATE","https://{label}.val.run/","DENOLS_URL","https://lsp.val.town","NODE_ENV","production","CLOUDFLARE_TURNSTILE_SITE_KEY","0x4AAAAAACtaIZJH7s9rBMZ6","GOOGLE_CLIENT_ID","875989696899-jtsqkhlbdv5jrlsk8631p7ipjg3c6o62.apps.googleusercontent.com","STRIPE_PUBLISHABLE_KEY","pk_live_51N2zvWEpZTTLipIkVEwXrUG9AT0yeOOEYxszarZT1jpsZV58Ly6wlg3SltZpHN26CUalOBmUSY7adQRQiSkCZz2500qSXNkf8Y","API_URL","https://api.val.town",[],"preferencesKeybindings","default","preferencesTheme","light","preferencesFixers","preferencesCopilot","preferencesSelectionAi","preferencesCloseBrackets","preferencesChatPanelState","preferencesDprint","preferencesDenofmt","notificationCount","flagDenols","isBusinessOrgMember","businessOrgHandle","isBusinessOrgAdmin","isHigherTownieTier","navCollapsed","currentOrgId"]

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