${title}

[{"_1":2,"_3":-5,"_4":-5},"loaderData",{"_5":6,"_7":8,"_9":10},"actionData","errors","root",{"_208":209,"_210":211},"routes/_app.x.$handle.$name",{"_116":115,"_34":63,"_124":102,"_29":125,"_13":14,"_126":-5,"_11":127,"_128":129,"_130":131,"_132":133,"_134":135,"_23":-5,"_136":137,"_138":139,"_140":27,"_141":142,"_143":75,"_144":-5,"_145":-5,"_146":147},"routes/_app.x.$handle.$name.branch.$branch.version.$version.diff",{"_11":12,"_13":14,"_15":16,"_17":-5,"_18":-5},"project",{"_61":62,"_34":63,"_39":64,"_65":-5,"_66":27,"_67":68,"_69":68,"_70":-5,"_71":-5,"_18":72,"_73":57,"_74":75,"_76":75,"_77":-5,"_78":79,"_80":81,"_82":-5,"_83":-5,"_84":-5,"_85":-5,"_86":87,"_88":87,"_89":90,"_91":90,"_92":90,"_93":87,"_94":87,"_95":96,"_97":98,"_99":100,"_101":27},"version",1,"changes",[19,20,21,22],"aiChatInfo","userId",{"_23":55,"_25":-7,"_26":27,"_28":27,"_29":56,"_31":56},{"_23":49,"_25":-7,"_26":27,"_28":27,"_29":50,"_31":50},{"_23":44,"_25":-7,"_26":27,"_28":27,"_29":45,"_31":45},{"_23":24,"_25":-7,"_26":27,"_28":27,"_29":30,"_31":30},"file",{"_32":33,"_34":30,"_35":36,"_37":38,"_39":40,"_41":14,"_42":43,"_26":27},"previous","deleted",false,"deletedHere","path","updateTopics","latestPath","fileId","019997c0-602e-719b-bb4e-0f0f9b70af14","name","fileType","script","content","import { GoogleGenerativeAI, SchemaType } from \"https://esm.sh/@google/generative-ai\";\nimport { blob } from \"https://esm.town/v/std/blob\";\n\nasync function generate(model: string, system: string, schema: any, data: any) {\n // Structured generation template\n\n const key = Deno.env.get(\"gemini\");\n const gemini = new GoogleGenerativeAI(key);\n const modelObject = gemini.getGenerativeModel({\n model: model,\n systemInstruction: system,\n generationConfig: {\n responseMimeType: \"application/json\",\n responseSchema: schema,\n },\n });\n\n const response = await modelObject.generateContent(JSON.stringify(data));\n const text = response.response.text();\n return JSON.parse(text);\n}\n\nconst classify = async (news: any[], topics: any[], model: string) => {\n // Prompt the model to classify news into topics\n\n // An object of indexed news items and topics to help the model\n const data = {\n noticias: Object.fromEntries(\n Object.values(news).map(n => ({ title: n.title, description: n.description })).entries(),\n ),\n temas: Object.fromEntries(topics.entries()),\n };\n\n // prompt\n const system = `\n# Instrucciones de Clasificación de Noticias\n\n## Contexto\nTienes un conjunto de noticias y una lista de temas predefinidos. Tu tarea es clasificar cada noticia dentro de los temas más relevantes.\n\n## Entrada\nRecibirás dos objetos indexados:\n- noticias: Cada noticia contiene un título y una descripción\n- temas: Cada tema tiene un título principal (t) y una descripción detallada (d)\n\n## Reglas de Clasificación\n1. Asigna un máximo de 3 temas por noticia\n2. Si una noticia no encaja bien en ningún tema, déjala con un array vacío de temas\n3. Considera solo los elementos más destacados de cada noticia\n4. Enfócate en el contenido sustancial, no en menciones tangenciales\n\n## Formato de Salida\nDebes devolver un array de objetos donde cada objeto tiene:\n- n: El índice numérico de la noticia\n- t: Un array de índices numéricos de temas (máximo 3, puede estar vacío)\n\nEjemplo:\n\n[\n {\"n\": 0, \"t\": [4, 9]}, // La noticia en posición 0 se clasifica en los temas 4 y 9\n {\"n\": 1, \"t\": [2]}, // La noticia en posición 1 se clasifica solo en el tema 2\n {\"n\": 3, \"t\": []} // La noticia en posición 3 no encaja en ningún tema\n]\n\n## Criterios de Clasificación\n- **Relevancia temática**: El contenido de la noticia debe relacionarse directamente con la descripción del tema\n- **Especificidad**: Prioriza los temas más específicos sobre los generales cuando ambos apliquen\n- **Evidencia textual**: Debe haber elementos claros en el título o descripción que justifiquen la clasificación\n\nAnaliza cuidadosamente cada noticia y asigna solo los temas que realmente correspondan a su contenido principal.\nRecuerda que sólo existen ${topics.length} temas y ${Object.keys(news).length} noticias. \nTen cuidado en sólo asignar temas y noticias que existan.\n `;\n\n const schema = {\n type: SchemaType.ARRAY,\n items: {\n type: SchemaType.OBJECT,\n properties: {\n n: {\n type: SchemaType.INTEGER,\n },\n t: {\n type: SchemaType.ARRAY,\n items: { type: SchemaType.INTEGER },\n maxItems: 3,\n minItems: 0,\n },\n },\n required: [\"n\", \"t\"],\n },\n };\n\n const response = await generate(model, system, schema, data);\n return response;\n};\n\nconst logTopics = (news: any, data: Record, outofbounds: number) => {\n const formatNews = (item) => {\n const pubDate = new Date(item.pubDate).toLocaleString(\"sv-SE\", {\n timeZone: \"America/La_Paz\",\n dateStyle: \"short\",\n timeStyle: \"medium\",\n });\n const title = item.title;\n return `(${pubDate}) ${title}`;\n };\n const formatTopics = (topics) => {\n return Object.fromEntries(\n Object.entries(topics).map(([topic, links]) => [\n topic,\n links.map(link => formatNews(news[link])),\n ]),\n );\n };\n console.log(`${outofbounds} classifications out of bounds.`);\n console.log(formatTopics(data));\n const classifiedLinks = new Set(Object.values(data).flat());\n const ignoredLinks = { \"ignored\": Object.keys(news).filter(link => !classifiedLinks.has(link)) };\n console.log(formatTopics(ignoredLinks));\n};\n\nexport const updateTopics = async (\n news: any,\n topics: any[],\n topicsBlob: string = \"topics\",\n model: string = \"gemini-2.0-flash\",\n) => {\n // Classify news items into topics\n const classifications = await classify(news, topics, model);\n\n // Topics with arrays of news\n let data: any = Object.fromEntries(topics.map(topic => [topic.t, []]));\n\n // Insert news into topics\n const links = Object.keys(news);\n let outofbounds = 0;\n classifications.forEach((classification: { n: number; t: number[] }) => {\n if (classification.t) {\n classification.t.forEach((topic: number) => {\n if (topics.length > topic && links.length > classification.n) {\n data[topics[topic].t].push(links[classification.n]);\n } else {\n console.log(`Out-of-bounds: Topic ${topic}, News item: ${classification.n}`);\n outofbounds += 1;\n }\n });\n }\n });\n\n // Sort news in each topic by pubDate\n const pubDates: Record = Object.fromEntries(\n Object.entries(news).map(([link, item]) => [link, { pubDate: new Date(item.pubDate) }]),\n );\n Object.keys(data).forEach(topic => {\n data[topic].sort((a: string, b: string) => pubDates[b].pubDate.getTime() - pubDates[a].pubDate.getTime());\n });\n\n // Output classifications\n logTopics(news, data, outofbounds);\n\n let savedTopics = await blob.getJSON(topicsBlob) as any;\n savedTopics ??= {};\n // Purge topics that aren't currently listed\n savedTopics = Object.fromEntries(Object.entries(savedTopics).filter(([topic]) => Object.keys(data).includes(topic)));\n // Update the topics blob\n Object.keys(data).forEach(topic => {\n if (Object.hasOwn(savedTopics, topic)) {\n savedTopics[topic] = [...data[topic], ...savedTopics[topic]];\n } else {\n savedTopics[topic] = data[topic];\n }\n });\n await blob.setJSON(topicsBlob, savedTopics);\n};","createdAt",["D",1759187590862],"branchVersion","branchId","de02630c-9d89-11f0-9a1f-0224a6c84d84",{"_32":46,"_34":45,"_35":36,"_37":47,"_39":48,"_41":14,"_42":43,"_26":27},"updateNews","019997c0-602e-719b-bb4e-0b90ee1b40ec","import { fetch } from \"https://esm.town/v/std/fetch\";\nimport { parseXML } from \"https://esm.town/v/stevekrouse/parseXML\";\nlet { parse } = await import(\"npm:node-html-parser\");\nimport { blob } from \"https://esm.town/v/std/blob\";\n\nexport async function updateNews(sources: string[], newsBlob: string = \"news\", descMaxLength: number = 400) {\n // Update news stored in a blob\n\n let newItems: any;\n let oldItems = await blob.getJSON(newsBlob) as any;\n oldItems ??= {};\n\n // Fetch each source, filter unseen news items\n for (const source of sources) {\n const sourceItems = await fetchSource(source, oldItems, descMaxLength);\n newItems = { ...newItems, ...sourceItems };\n }\n console.log(`${Object.keys(newItems).length} news items`);\n\n // Save all news items, return new ones\n if (Object.keys(newItems).length > 0) {\n const items = { ...oldItems, ...newItems };\n blob.setJSON(newsBlob, items);\n return newItems;\n }\n}\n\nasync function fetchSource(url: string, oldItems: any, descMaxLength: number) {\n // Fetch a source, filter unseen news items\n console.log(`fetch: ${url}`);\n\n function parseDescription(description: string, maxlength: number) {\n // Format a news item description\n\n const desc = parse(description);\n const summary = desc.querySelectorAll(\".field--type-text-with-summary\");\n let text;\n if (summary.length > 0) {\n text = summary[0].textContent;\n } else {\n text = desc.textContent;\n }\n text = text.replace(/\\s+/g, \" \").trim().replace(/([\\d\\/]*.- )/g, \"\");\n text = text.includes(\"[…]\") ? text.split(\"[…]\")[0].trim() + \"…\" : text;\n if (text.length > maxlength) {\n return text.slice(0, maxlength) + \"…\";\n } else {\n return text;\n }\n }\n\n try {\n const oldLinks = new Set(Object.keys(oldItems));\n const response = await fetch(url, { signal: AbortSignal.timeout(5000) });\n const responseJSON = await parseXML(await response.text());\n const items = responseJSON.rss.channel.item.filter(\n i => {\n return !oldLinks.has(i.link);\n },\n ).map(i => {\n return [i.link, {\n title: i.title,\n pubDate: i.pubDate,\n description: parseDescription(i.description, descMaxLength),\n }];\n });\n return Object.fromEntries(items);\n } catch (e) {\n if (e.name === \"TimeoutError\") {\n console.log(`Timeout: ${url}`);\n } else {\n console.log(e);\n }\n return [];\n }\n}",["D",1759187590862],{"_32":51,"_34":50,"_35":52,"_37":53,"_39":54,"_41":14,"_42":43,"_26":27},"update","019997c0-602e-719b-bb4e-05124219111c","interval","import { email } from \"https://esm.town/v/std/email\";\nimport { updateNews } from \"./updateNews\";\nimport { updateTopics } from \"./updateTopics\";\n\nconst sources = [\n \"https://www.vision360.bo/rss/seguridad/\",\n \"https://www.vision360.bo/rss/economia\",\n \"https://www.vision360.bo/rss/politica\",\n \"https://www.notiboliviarural.com/index.php/agroindustria?format=feed&type=rss\",\n \"https://www.opinion.com.bo/rss/pais/\",\n \"https://laprensa.bo/taxonomy/term/12/feed\",\n \"https://www.economy.com.bo/rss/economia/\",\n \"https://laprensa.bo/taxonomy/term/11/feed\",\n \"https://elmundo.com.bo/category/comunidad/feed/\",\n \"https://joseforonda-mariasilviatrigo.web.val.run\",\n \"https://joseforonda-noticiasfides_rss.web.val.run/\",\n \"https://anabolivia.org/feed\",\n \"https://todosnube.com/feed/\",\n \"https://joseforonda-eldeber_rss.web.val.run\",\n];\n\nconst topics = [\n {\n t: \"Escasez de diesel y gasolina\",\n d: \"Filas en surtidores, acopio y venta ilegal, protestas de transportistas, mineros y agroindustriales, problemas en la importación y distribución de carburantes, dudas sobre la calidad de carburantes, inversiones del gobierno en hidrocarburos\",\n },\n {\n t: \"Alimentos\",\n d: \"Precio o escasez de pan, carne de pollo y res, huevos, aceite, fruta, verduras y más alimentos comunes\",\n },\n {\n t: \"Corrupción\",\n d: \"Acusaciones y sentencias sobre enriquecimiento ilícito, tráfico de favores y más hechos de corrupción de autoridades de gobierno\",\n },\n {\n t: \"Ataques judiciales\",\n d: \"Acusaciones y sentencias judiciales contra políticos y activistas de oposición.\",\n },\n {\n t: \"Evo Morales\",\n d: \"Menciones directas de Evo Morales, su apoyo en organizaciones sindicales, su control del Chapare y apoyo o acusación de otros políticos\",\n },\n {\n t: \"Luis Arce\",\n d: \"Cómo Luis Arce y actores en su gestión de gobierno ven el país, sus logros, sus problemas y su propia proyección política, celebraciones de su gestión y denuncias de la oposición política como enemigos del Estado\",\n },\n {\n t: \"Edmand Lara\",\n d: \"Declaraciones y actos del Capitán Edmand (Edman) Lara o de Rodrigo Paz del Partido Demócrata Cristiano (PDC), expresiones de apoyo de sectores populares, controversias y tensiones con otros políticos\",\n },\n {\n t: \"Tuto Quiroga\",\n d: \"Declaraciones y actos de Tuto Quiroga o Juan Pablo (JP) Velasco de la Alianza Libre, expresiones de apoyo, controversias y tensiones con otros políticos\",\n },\n {\n t: \"Transporte terrestre\",\n d: \"Protestas de sindicatos de transporte urbano e inter-departamental, costo de pasajes, precariedad del servicio de transporte, accidentes de transporte\",\n },\n {\n t: \"Protestas\",\n d: \"Bloqueos, marchas, paros de transporte, huelgas de hambre\",\n },\n {\n t: \"Crimen organizado\",\n d: \"Asesinatos, desapariciones y más hechos de violencia relacionados al narcotráfico, minería ilegal y lavado de dinero, estafas, atracos, grandes robos, arreglo de cuentas, presencia de organizaciones internacionales de crimen\",\n },\n {\n t: \"Diplomacia y financiamiento internacional\",\n d: \"Acuerdos y fondos con la Cooperación Internacional, el Fondo Monetario Internacional, la Unión Europea, Rusia, China y otros gobiernos\",\n },\n {\n t: \"Litio\",\n d: \"Contratos de explotación de litio, preocupación por los términos de contratos, su impacto ambiental, la distribución de ingresos y empleos, la postura de empresas participantes\",\n },\n {\n t: \"Minería cooperativista\",\n d: \"Cooperativas mineras, explotación y venta de oro, contaminación de ríos con mercurio, concesiones del gobierno, AJAM, AFCOOP, SENARECOM, FENCOMIN, FECOMAN, FERRECO, etc.\",\n },\n {\n t: \"Tensiones entre gobierno y empresarios\",\n d: \"Amenazas y medidas sobre la propiedad de empresarios y su capacidad para realizar negocios, medidas para controlar precios como limitar exportaciones o confiscar bienes por denuncias de especulación, y las reacciones de empresarios, demandas para reducir el gasto público y liberalizar más la economía, fondos y más medidas del gobierno para incentivar la actividad económica privada, cambios en el salario mínimo y otras demandas de sindicatos obreros y la COB\",\n },\n {\n t: \"Violencia\",\n d: \"Violencia familiar, feminicidios, asesinatos y desapariciones no políticas, tráfico de personas, exceso de consumo de bebidas alcohólicas, agresiones en conflictos por tierras y deudas\",\n },\n {\n t: \"Indicadores económicos\",\n d: \"Indicadores oficiales de crecimiento económico, reservas internacionales, desempleo, informalidad, productividad, etc. publicados por el INE, BCB y otras entidades de gobierno\",\n },\n {\n t: \"Sistema financiero\",\n d: \"Solvencia de bancos, estabilidad monetaria, reservas internacionales del BCB, uso y valor de criptoactivos, valor del boliviano, disponibilidad de dólares, tasas de interés, valoración de bonos soberanos, restricciones al retiro de efectivo, corralito financiero\",\n },\n {\n t: \"Daño a ecosistemas\",\n d: \"Contaminación de ríos, incendio de bosques, desvío de fuentes de agua, depósitos de basura, consecuencias de la especulación de tierras, construcción de caminos y de plantas industriales, particularmente en la región amazónica\",\n },\n {\n t: \"Eventos naturales\",\n d: \"Lluvias, sequía, vientos fuertes, terremotos y su impacto sobre poblaciones\",\n },\n {\n t: \"Enfermedad\",\n d: \"Casos de influenza, covid-19, dengue y otras enfermedades de monitoreo epidemiológico\",\n },\n {\n t: \"Emergencia económica\",\n d: \"La urgencia de recortar la subvención a combustibles, liquidar empresas públicas, reducir gastos en el gobierno y generar ingresos en dólares, la probable contracción económica e inflación que se aproximan, llamados para tomar acciones inmediatas por la emergencia económica\",\n }\n];\n\nexport default async function(interval: Interval) {\n try {\n const news = await updateNews(sources);\n if (news) {\n await updateTopics(news, topics);\n }\n } catch (error) {\n console.log(error);\n await email({\n subject: \"News thing: an error occurred\",\n text: String(error),\n });\n }\n}",["D",1759187590862],{"_32":57,"_34":56,"_35":58,"_37":59,"_39":60,"_41":14,"_42":43,"_26":27},"read","019997c0-602d-75e9-b03c-9206ea698758","http","import { blob } from \"https://esm.town/v/std/blob\";\nimport { Readability } from \"npm:@mozilla/readability\";\nimport { JSDOM } from \"npm:jsdom\";\nlet { parse } = await import(\"npm:node-html-parser\");\nimport * as Plot from \"npm:@observablehq/plot@0.6.14\";\nimport { d3 } from \"npm:d3@7\";\nimport { parseHTML } from \"npm:linkedom@0.15\";\n\nconst style = `\n\n@import url(\"https://fonts.googleapis.com/css2?family=Inter:ital,opsz,wght@0,14..32,100..900;1,14..32,100..900&display=swap\");\n\n:root {\n --text: #26262b;\n --background: #fcfcfc;\n --decoration: #9d9da85e;\n --glow: 147, 190, 227;\n --card: #cbcdd20f;\n --link: #73a0c8;\n --focus: #fff;\n}\n\nbody {\n background: var(--background);\n color: var(--text);\n margin: 0;\n font-size: 16px;\n line-height: 1.5;\n font-family: \"Inter\", serif;\n}\n\n.main {\n width: 100%;\n height: 100%;\n display: flex;\n justify-content: center;\n}\n\n.mainHeader{\n display: flex;\n justify-content: center;\n gap: 10px;\n margin: 0;\n padding: 15px 0;\n border-bottom: 1px solid var(--decoration);\n width: 100%;\n z-index: 10;\n background-color: var(--background);\n position: fixed;\n}\n\n.mainTitle {\n font-family: \"Inter\", serif;\n font-weight: 600;\n font-size: 1.8rem;\n line-height: 1;\n width: 600px;\n display: flex;\n justify-content: center;\n align-items: baseline;\n}\n\n.mainHeader + div {\n margin-top: 60px\n}\n\n.topics {\n display: flex;\n flex-wrap: wrap;\n justify-content: center;\n padding-left: calc((100vw - 1500px) / 2);\n padding-right: calc((100vw - 1500px) / 2);\n overflow-y: scroll;\n scroll-snap-type: y mandatory;\n scroll-behavior: smooth;\n height: calc(100vh - 60px);\n scrollbar-width: none;\n}\n\n.topic {\n max-width: 420px;\n padding: 0px 10px;\n margin: 0 5px;\n border-radius: 5px;\n position: relative;\n scroll-snap-align: start;\n height: calc(100vh - 60px);\n}\n\n.topicTitle {\n display: flex;\n flex-direction: row;\n align-items: center;\n text-align: center;\n font-weight: bold;\n text-transform: uppercase;\n font-size: .8em;\n position: sticky;\n top: 0;\n border-bottom: 1px solid var(--decoration);\n background: var(--background);\n z-index: 9;\n}\n\n.topicTitle span {\n padding: 10px 0;\n opacity: .5;\n margin-left: 50px;\n width: calc(100% - 60px);\n}\n\n.topicPlot svg g {\n stroke: var(--text);\n opacity: .3\n}\n\n.topicNews {\n max-height: 800px;\n overflow: auto;\n position: relative;\n max-height: calc(100vh - 100px);\n}\n\n.topic::after {\n content: \"\";\n position: absolute;\n left: 0;\n right: 0;\n height: 400px;\n pointer-events: none;\n z-index: 8;\n}\n\n.topic::after {\n bottom: 0;\n background: linear-gradient(to top, \n var(--background) 0, \n rgba(255, 255, 255, 0));\n}\n\n\n.newsItem {\n text-decoration: none;\n color: var(--text);\n padding: 15px;\n background: var(--card);\n display: flex;\n flex-direction: column;\n gap: 5px;\n margin: 15px;\n border-radius: 5px;\n cursor: pointer;\n}\n\n.itemTitle {\n font-weight: bold;\n}\n\n.itemDescription {\n opacity: .7;\n font-size: .8em;\n}\n\n.itemDate {\n opacity: 0.5;\n font-weight: 300;\n font-size: .8em;\n}\n\n.newsItem:hover {\n background: var(--focus);\n}\n\n.recent {\n border: 1px solid rgba(var(--glow), .32);\n box-shadow: rgba(var(--glow), .32) 0px 0px 8px;\n}\n\n.fullText {\n opacity: 1;\n animation-name: fadeInOpacity;\n animation-iteration-count: 1;\n animation-timing-function: ease-in;\n animation-duration: 1s;\n max-height: calc(60vh);\n overflow-y: scroll;\n border-top: 1px solid var(--decoration);\n border-bottom: 1px solid var(--decoration);\n padding: 0 10px;\n margin: 5px 0;\n font-size: 14px;\n}\n\n.fullText p {\n margin: 15px 0;\n line-height: 1.6;\n}\n\n.itemFooter {\n display: flex;\n justify-content: space-between;\n align-items: baseline;\n}\n\n.itemFooter a {\n text-decoration: none;\n color: var(--link);\n opacity: .6;\n}\n\n.itemFooter a:hover {\n opacity: .9;\n}\n\n.itemTitle:has(.fullText) {\n position: sticky;\n top:0;\n background: var(--background);\n z-index: 7\n}\n\n.newsItem:has(.fullText) {\n cursor: auto;\n margin: 15px 2px;\n transition: margin 0.3s ease-out;\n background: var(--focus);\n}\n\n@keyframes fadeInOpacity {\n\t0% {\n\t\topacity: 0;\n\t}\n\t100% {\n\t\topacity: 1;\n\t}\n}\n\n@media (prefers-color-scheme: dark) {\n :root {\n --background: #19171e;\n --text: #e6e6ec;\n --decoration: #d2d2d52e;\n --card: #4c597d21;\n --glow: 53, 80, 115;\n --focus: #2f364fa8;\n --link: #4f8cdbf5;\n }\n}\n\n@media (max-width: 650px) {\n .mainHeader {\n width: 100vw;\n position: fixed;\n }\n .topics {\n flex-direction: row;\n flex-wrap: unset;\n max-width: 100vw;\n justify-content: start;\n overflow-x: scroll;\n scroll-snap-type: x mandatory;\n scroll-behavior: smooth;\n }\n .topic {\n min-width: calc(100vw - 40px);\n scroll-snap-align: start;\n padding: 0px 20px;\n margin: 0;\n }\n .topicTitle {\n top: 0\n }\n}\n\n`;\nconst script = `\ndocument.addEventListener(\"DOMContentLoaded\", () => {\n document.querySelectorAll(\".newsItem\").forEach(item => {\n item.querySelectorAll(\"a\").forEach(link => {\n link.addEventListener(\"click\", event => event.stopPropagation());\n });\n const handleClick = async () => {\n const link = item.getAttribute(\"data-link\");\n const description = item.querySelector(\".itemDescription\");\n try {\n const response = await fetch(\"/readable\", {\n method: \"POST\",\n headers: {\n \"Content-Type\": \"application/json\",\n },\n body: JSON.stringify({ link: link }),\n });\n if (response.ok) {\n const text = await response.text();\n description.innerHTML = text;\n item.removeEventListener(\"click\", handleClick); // Remove event listener\n }\n } catch (error) {\n console.log(error);\n }\n };\n\n item.addEventListener(\"click\", handleClick);\n });\n});\n`;\nconst today = new Date();\nconst yesterday = new Date(today);\nyesterday.setDate(today.getDate() - 1);\n\nconst organizeNews = async (\n recentDaysSort: number = 2,\n topicSize: number = 50,\n newsBlob: string = \"news\",\n topicsBlob: string = \"topics\",\n plotDays: number = 30,\n) => {\n const dayCount = (news, topics, dateLimit) => {\n // Day frequencies for all topics\n const data = [];\n for (const [topic, entries] of Object.entries(topics)) {\n for (const entry of entries) {\n let pubDate = new Date(news[entry].pubDate);\n if (pubDate > dateLimit) {\n pubDate.setHours(pubDate.getHours() - 4);\n pubDate.setHours(0, 0, 0, 0);\n data.push({ topic: topic, pubDate: pubDate });\n }\n }\n }\n return Object.values(data.reduce((acc, entry) => {\n const key = `${entry.topic}-${entry.pubDate}`;\n if (!acc[key]) {\n acc[key] = { ...entry, counts: 1 };\n } else {\n acc[key].counts++;\n }\n return acc;\n }, {}));\n };\n\n const listDays = (plotDays) => {\n // An array of days between plotDays and today\n let today = new Date();\n today.setHours(0, 0, 0, 0);\n let since = new Date(today - 1e3 * 60 * 60 * 24 * plotDays);\n\n let days = [];\n while (since <= today) {\n days.push(new Date(since).getTime());\n since.setDate(since.getDate() + 1);\n }\n return days;\n };\n\n const topicCounts = (data, topic, dayList) => {\n // Day frequencies for a topic, including days with zero news\n const topicDays = data.filter(c => c.topic == topic).map(d => d.pubDate.getTime());\n const minTopicDay = Math.min(...topicDays);\n const emptyDays = dayList.filter(d => d > minTopicDay & !topicDays.includes(d));\n return [\n ...emptyDays.map(d => ({\n topic: topic,\n pubDate: new Date(d),\n counts: 0,\n })),\n ...data.filter(c => c.topic == topic),\n ];\n };\n\n const news = await blob.getJSON(newsBlob);\n const topics = await blob.getJSON(topicsBlob);\n const recentDaysAgo = new Date(Date.now() - recentDaysSort * 24 * 60 * 60 * 1000);\n\n const dateLimit = new Date(new Date().getTime() - 1e3 * 60 * 60 * 24 * plotDays);\n const count = dayCount(news, topics, dateLimit);\n const maxCount = count.reduce((max, d) => Math.max(max, d.counts), 0);\n const dayList = listDays(plotDays);\n\n let data = [];\n Object.keys(topics).forEach(t => {\n let topic = {\n topic: t,\n news: [],\n count: topicCounts(count, t, dayList),\n plotParams: {\n minX: dateLimit,\n maxY: maxCount,\n days: plotDays,\n recent: recentDaysAgo,\n },\n };\n let recentItems = 0;\n topics[t].slice(0, topicSize).forEach(link => {\n const item = {\n title: news[link].title,\n description: news[link].description,\n link: link,\n pubDate: new Date(news[link].pubDate),\n recent: false,\n };\n if (item.pubDate > recentDaysAgo) {\n recentItems++;\n item.recent = true;\n }\n topic.news.push(item);\n });\n topic.recent = recentItems;\n topic.news.sort((a, b) => b.pubDate - a.pubDate);\n data.push(topic);\n });\n data.sort((a, b) => b.recent - a.recent);\n\n return data;\n};\n\nconst writeItem = (item: any) => {\n const makeShortDate = (date: Date) => {\n const formatter = Intl.DateTimeFormat(\"es-US\", { timeZone: \"America/La_Paz\", month: \"long\", day: \"numeric\" });\n const day = formatter.format(date);\n if (day == formatter.format(today)) {\n return \"Hoy\";\n } else if (day == formatter.format(yesterday)) {\n return \"Ayer\";\n } else {\n return day;\n }\n };\n const longDate = item.pubDate.toLocaleDateString(\"es-US\", {\n month: \"long\",\n day: \"numeric\",\n year: \"numeric\",\n hour: \"numeric\",\n minute: \"numeric\",\n timeZone: \"America/La_Paz\",\n });\n return `\n

${item.title}

${item.description}

${makeShortDate(item.pubDate)}

\n ◉︎\n

\n`;\n};\n\nconst writeTopic = (topic: any) => {\n if (topic.news.length > 0) {\n const plot = plotTopic(topic.count, topic.plotParams);\n return `\n

\n ${topic.topic}\n

day.counts + acc, 0)\n } noticias en los últimos ${topic.plotParams.days} días\" class=\"topicPlot\">\n ${plot}\n

\n ${topic.news.map(writeItem).join(\"\")}\n

\n `;\n }\n};\n\nconst writePage = (data: any, style: string, script: string, plotDays: number = 30) => {\n const title = \"digest\";\n const favicon =\n \"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\";\n return `\n\n\n \n \n \n \n \n \n \n ${title}\n \n \n

${title}

\n ${data.map(writeTopic).join(\"\")}\n

\n \n \n\n `;\n};\n\nconst plotTopic = (data, params) => {\n const document = parseHTML(\"\").document;\n const markOptions = {\n x: \"pubDate\",\n y: \"counts\",\n z: \"topic\",\n sort: { channel: \"x\" },\n curve: \"basis\",\n };\n const scaleOptions = {\n ticks: 0,\n label: null,\n };\n return Plot.plot({\n document,\n height: 40,\n width: 50,\n marginTop: 2,\n marginBottom: 10,\n marginLeft: 5,\n marginRight: 5,\n y: {\n ...scaleOptions,\n domain: [0, params.maxY],\n },\n x: {\n ...scaleOptions,\n domain: [params.minX, new Date().getTime()],\n },\n marks: [\n Plot.line(data, {\n ...markOptions,\n strokeWidth: 1.5,\n }),\n ],\n });\n};\n\nconst makeReadable = async (link: string) => {\n console.log(\"fetch\");\n const response = await fetch(link, { signal: AbortSignal.timeout(5000) });\n const text = await response.text();\n console.log(\"parse\");\n const doc = new JSDOM(text);\n const reader = new Readability(doc.window.document);\n const article = reader.parse();\n const html = parse(article.content);\n console.log(\"select\");\n const content = html.querySelectorAll(\"p\").filter(p => p.textContent.trim() != \"\").map(p =>\n `

${p.textContent.trim()}

`\n ).join(\"\");\n console.log(\"return\");\n return `

${content}

Diff · v1