[{"_1":2,"_3":-5,"_4":-5},"loaderData",{"_5":6,"_7":8,"_9":10},"actionData","errors","root",{"_226":227,"_228":229},"routes/_app.x.$handle.$name",{"_99":98,"_32":45,"_107":89,"_27":108,"_13":14,"_109":-5,"_11":110,"_111":112,"_113":114,"_115":116,"_117":118,"_20":-5,"_119":-5,"_120":-5,"_121":25,"_122":123,"_124":25,"_125":-5,"_126":-5,"_127":128},"routes/_app.x.$handle.$name.branch.$branch.version.$version.diff",{"_11":12,"_13":14,"_15":16,"_17":-5,"_18":-5},"project",{"_43":44,"_32":45,"_38":46,"_47":-5,"_48":25,"_49":50,"_51":50,"_52":53,"_54":55,"_18":56,"_57":-5,"_58":25,"_59":-5,"_60":-5,"_61":62,"_63":64,"_65":66,"_67":68,"_69":70,"_71":-5,"_72":73,"_74":73,"_75":76,"_77":76,"_78":76,"_79":73,"_80":73,"_81":82,"_83":84,"_85":86,"_87":25},"version",47,"changes",[19],"aiChatInfo","userId",{"_20":21,"_22":23,"_24":25,"_26":25,"_27":28,"_29":28},"file",{"_30":31,"_32":28,"_33":34,"_35":37,"_38":39,"_40":14,"_41":42,"_24":25},"previous",{"_30":31,"_32":28,"_33":34,"_35":36},"deleted",false,"deletedHere","path","summarize.ts","latestPath","fileId","2e484a00-7bda-11f1-b44f-1607ee4eb77e","name","fileType","script","content","/**\n * Calls OpenAI to produce a TL;DR summary of a newsletter email.\n * Returns markdown-formatted bullet points + a short bottom-line.\n */\n\nconst SYSTEM_PROMPT = `You are a newsletter summarizer.\nGiven a newsletter email, produce a detailed TL;DR in markdown:\nRules:\n1. Write in Hebrew, except for professional terms that are not acceptable to translate into Hebrew.\n2. Produce a concise TL;DR in Markdown.\n3. Include EVERY important topic mentioned in the newsletter. \n4. For each topic:\n - Write a short bullet summarizing it.\n - At the end of the bullet, add parentheses describing what additional details appear in the original article or post.\n5. Ignore greetings, signatures, unsubscribe sections, legal text, tracking pixels, advertisements that are unrelated to the newsletter's content, and repeated footer content.\n6. Preserve ALL images that appear in the original newsletter. (example shape: )\nFor each topic:\n- After the summary bullet, include every image URL that belongs to that topic, in the same order they appeared in the newsletter.\n- Use Markdown image syntax:\n ![](IMAGE_URL)\n- Do NOT omit images.\n- Merge or deduplicate images.\n- If a topic contains multiple images, include all of them.\n- Never invent image URLs.\n- Never use an image under a different topic than the one it originally belongs to.\n(Treat any standalone URL that is not part of the article text as a potential newsletter image unless the surrounding text clearly indicates it is a normal hyperlink.)\n7. Keep the summary compact, but never at the expense of skipping important topics.\n8. End with:\n **בשורה התחתונה:** followed by one concise sentence.\n9. If the newsletter contains a link to the complete article/post/read more page, add a final section:\n **לקריאה נוספת:**\n followed by the most relevant URL(s).\n10. If the content is empty or is not a newsletter, return only:\n \"לא נמצא תוכן של ניוזלטר.\"\nBefore producing the final answer, verify that every image URL from the input has been copied to the output exactly once (excluding tracking pixels).\nIf any image URL is missing, add it under the correct topic before returning the summary.\n`;\n\nexport async function summarizeNewsletter(\n subject: string,\n body: string,\n): Promise {\n const apiKey = Deno.env.get(\"GEMINI_API_KEY\");\n if (!apiKey) {\n throw new Error(\"GEMINI_API_KEY env var is not set\");\n }\n\n const userContent = `Subject: ${subject}\\n\\n${body}`.slice(0, 12_000);\n const url =\n `https://generativelanguage.googleapis.com/v1beta/models/gemini-2.5-flash:generateContent?key=${apiKey}`;\n\n const res = await fetch(url, {\n method: \"POST\",\n headers: {\n \"Content-Type\": \"application/json\",\n },\n body: JSON.stringify({\n systemInstruction: {\n parts: [\n {\n text: SYSTEM_PROMPT,\n },\n ],\n },\n contents: [\n {\n parts: [\n {\n text: userContent,\n },\n ],\n },\n ],\n generationConfig: {\n temperature: 0.3,\n },\n }),\n });\n\n if (!res.ok) {\n const errText = await res.text();\n throw new Error(`API error ${res.status}: ${errText}`);\n }\n\n const data = await res.json();\n\n const text = data?.candidates?.[0]?.content?.parts?.[0]?.text;\n\n if (!text) {\n throw new Error(\n `Unexpected Gemini response:\\n${JSON.stringify(data, null, 2)}`,\n );\n }\n\n return text.trim();\n}","/**\n * Calls OpenAI to produce a TL;DR summary of a newsletter email.\n * Returns markdown-formatted bullet points + a short bottom-line.\n */\n\nconst SYSTEM_PROMPT = `You are a newsletter summarizer.\nGiven a newsletter email, produce a detailed TL;DR in markdown:\nRules:\n1. Write in Hebrew, except for professional terms that are not acceptable to translate into Hebrew.\n2. Produce a concise TL;DR in Markdown.\n3. Include EVERY important topic mentioned in the newsletter. \n4. For each topic:\n - Write a short bullet summarizing it.\n - At the end of the bullet, add parentheses describing what additional details appear in the original article or post.\n5. Ignore greetings, signatures, unsubscribe sections, legal text, tracking pixels, advertisements that are unrelated to the newsletter's content, and repeated footer content.\n6. Preserve ALL images that appear in the original newsletter. (example shape: )\nFor each topic:\n- After the summary bullet, include every image URL that belongs to that topic, in the same order they appeared in the newsletter.\n- Use Markdown image syntax:\n ![](IMAGE_URL)\n- Do NOT omit images.\n- Merge or deduplicate images.\n- If a topic contains multiple images, include all of them.\n- Never invent image URLs.\n- Never use an image under a different topic than the one it originally belongs to.\n(Treat any standalone URL that is not part of the article text as a potential newsletter image unless the surrounding text clearly indicates it is a normal hyperlink.)\n7. Keep the summary compact, but never at the expense of skipping important topics.\n8. End with:\n **בשורה התחתונה:** followed by one concise sentence.\n9. If the newsletter contains a link to the complete article/post/read more page, add a final section:\n **לקריאה נוספת:**\n followed by the most relevant URL(s).\n10. If the content is empty or is not a newsletter, return only:\n \"לא נמצא תוכן של ניוזלטר.\"\nBefore producing the final answer, verify that every image URL from the input has been copied to the output exactly once (excluding tracking pixels).\nIf any image URL is missing, add it under the correct topic before returning the summary.\n`;\n\nexport async function summarizeNewsletter(\n subject: string,\n body: string,\n images: string[],\n): Promise {\n const apiKey = Deno.env.get(\"GEMINI_API_KEY\");\n if (!apiKey) {\n throw new Error(\"GEMINI_API_KEY env var is not set\");\n }\n\n const userContent = `Subject: ${subject}\\n\\n${body}`.slice(0, 12_000) +\n `Notice Images in post: ${images}`;\n const url =\n `https://generativelanguage.googleapis.com/v1beta/models/gemini-2.5-flash:generateContent?key=${apiKey}`;\n\n const res = await fetch(url, {\n method: \"POST\",\n headers: {\n \"Content-Type\": \"application/json\",\n },\n body: JSON.stringify({\n systemInstruction: {\n parts: [\n {\n text: SYSTEM_PROMPT,\n },\n ],\n },\n contents: [\n {\n parts: [\n {\n text: userContent,\n },\n ],\n },\n ],\n generationConfig: {\n temperature: 0.3,\n },\n }),\n });\n\n if (!res.ok) {\n const errText = await res.text();\n throw new Error(`API error ${res.status}: ${errText}`);\n }\n\n const data = await res.json();\n\n const text = data?.candidates?.[0]?.content?.parts?.[0]?.text;\n\n if (!text) {\n throw new Error(\n `Unexpected Gemini response:\\n${JSON.stringify(data, null, 2)}`,\n );\n }\n\n return text.trim();\n}","createdAt",["D",1783886029993],"branchVersion","branchId","079802a6-8dc8-490b-a66d-378766034379","id","a1a26c1e-7572-4845-8e88-e4717a893e38","newsletter-tldr",["D",1783631231612],"deletedAt","legacyEnvVars","privacy","public","httpPrivacy","description","AI-summarize newsletters and email you a TL;DR","imageUrl","https://imagedelivery.net/iHX6Ovru0O7AjmyT5yZRoA/e6c47ac0-b8b5-4616-5b0b-24717176ad00/square512?exp=1789585199&sig=6d9c616883dcbf6cefb9e1186275a43589876dbb51d6fff6b230972979491805","d80db7e0-2b6e-11f0-ae20-3f29585419e6","pinnedFileId","pinPreview","pinMigrated","screenshotVersion","likeCount",1,"orgId","185df4f4-42ef-4036-a4dc-c53e5b6ecd6b","tursoName","a1a26c1e757248458e88e4717a893e38","tursoHostname","a1a26c1e757248458e88e4717a893e38-val-town.aws-us-east-2.turso.io","tursoMeasuredAt",["D",1789525843977],"pinned","userPerm","r","valPerm","blobPerm","rw","emailPerm","sqlitePerm","projectPerm","telemetryPerm","user",{"_99":98,"_106":102},"org",{"_99":98,"_100":-5,"_101":102,"_18":56,"_103":104,"_105":25},"branch",{"_13":88,"_32":89,"_43":42,"_90":44,"_91":-5,"_92":-5,"_93":-5,"_94":-5,"_95":-5,"_96":45,"_97":98},"isOwned",72,"main","projectId","forkedBranchId","forkedBranchVersion","forkedProjectPrivacy","forkedProjectId","forkedProjectOrgId","projectName","userHandle","shlmt","handle","displayName","avatar","https://img.clerk.com/eyJ0eXBlIjoicHJveHkiLCJzcmMiOiJodHRwczovL2ltYWdlcy5jbGVyay5kZXYvb2F1dGhfZ2l0aHViL2ltZ18yd21LcGd6Z0o1OE9sOVU2dE5TVVpOZlpwVHMifQ","tier","free","canRestrictVals","profileImageUrl","branchName","","adoptOrgId",{"_43":44,"_32":45,"_38":221,"_47":-5,"_48":25,"_49":50,"_51":50,"_52":53,"_54":55,"_18":56,"_57":-5,"_58":25,"_59":-5,"_60":-5,"_61":62,"_63":64,"_65":66,"_67":68,"_69":222,"_71":-5,"_72":73,"_74":73,"_75":76,"_77":76,"_78":76,"_79":73,"_80":73,"_81":223,"_83":224,"_85":225,"_87":25},"tree",[196,197,198,199,200,201],"files",[196,197,198,199,200,201],"counts",{"_184":185,"_186":62,"_187":188,"_189":190,"_191":192},"contents",[129,130,131,132,133,134],"upstreamProject","upstreamBranch","emptyEnvVars","flags",[],"hasHttpFiles","grants","orgs","customDomains",{},{"_43":177,"_32":178,"_30":179,"_136":-5,"_41":42,"_40":180,"_137":146,"_38":181,"_13":62,"_33":20,"_35":182,"_24":25,"_140":-5,"_27":183},{"_43":167,"_32":168,"_30":169,"_136":-5,"_41":42,"_40":170,"_137":25,"_38":171,"_13":172,"_33":173,"_35":174,"_24":25,"_140":175,"_27":176},{"_43":160,"_32":161,"_30":162,"_136":-5,"_41":42,"_40":163,"_137":25,"_38":164,"_13":62,"_33":34,"_35":165,"_24":25,"_140":-5,"_27":166},{"_43":151,"_32":152,"_30":153,"_136":-5,"_41":42,"_40":154,"_137":146,"_38":155,"_13":156,"_33":157,"_35":158,"_24":25,"_140":-5,"_27":159},{"_43":142,"_32":143,"_30":144,"_136":-5,"_41":42,"_40":145,"_137":146,"_38":147,"_13":148,"_33":34,"_35":149,"_24":25,"_140":-5,"_27":150},{"_43":135,"_32":28,"_30":31,"_136":-5,"_41":42,"_40":14,"_137":25,"_38":138,"_13":139,"_33":34,"_35":37,"_24":25,"_140":-5,"_27":141},"b0d4ad50-7f8b-4be4-9ad4-14332bff5e37","parentId","latest",["D",1783886029993],12,"label",[28],"5046ea4e-f635-4587-9a7a-167f03c56093","shabbat.ts","fe38591e-7bdd-11f1-b989-1607ee4eb77e",31,true,["D",1783678728710],2,"// Checks whether it's currently Shabbat using the Hebcal API\n//\n// Location is set via the HEBCAL_GEONAMEID env var (geonames.org city ID).\n// Defaults to Jerusalem (281184).\n// Change HEBCAL_GEONAMEID to match your city.\n//\n// Find your city ID: https://www.geonames.org\n// Jerusalem, Israel → 281184\n// Tel Aviv, Israel → 293397\n// Haifa, Israel → 294801\n// Petah Tikva, Israel → 293918\n// Bnei Brak, Israel → 295548\n// Beit Shemesh, Israel → 295620\n// Beitar Illit, Israel → 284375\n// New York, USA → 5128581\n// London, UK → 2643743\n\nconst GEONAME_ID = Deno.env.get(\"HEBCAL_GEONAMEID\") ?? \"281184\";\n\nexport async function isAssurBemlacha(): Promise {\n const url =\n `https://www.hebcal.com/zmanim?cfg=json&geonameid=${GEONAME_ID}&im=1`;\n\n const res = await fetch(url);\n\n if (!res.ok) {\n throw new Error(`Hebcal API error: ${res.status}`);\n }\n\n const data = await res.json();\n\n return data.status?.isAssurBemlacha ?? false;\n}",[143],"bc795ef4-aaeb-4e23-b60d-9628b7f2c383","send-queued.ts","0bf04616-7bde-11f1-b43f-1607ee4eb77e",32,["D",1783678732585],8,"interval","// Cron: sends emails that were queued during Shabbat, once havdalah has passed.\nimport { email } from \"https://esm.town/v/std/email\";\nimport { blob } from \"https://esm.town/v/std/blob/main.ts\";\nimport { QUEUE_KEY, type QueuedEmail } from \"./queue.ts\";\nimport { isAssurBemlacha } from \"./shabbat.ts\";\n\nexport default async function () {\n const queue: QueuedEmail[] = (await blob.getJSON(QUEUE_KEY)) ?? [];\n\n if (queue.length === 0) {\n return;\n }\n\n if (await isAssurBemlacha()) {\n console.log(\"Still during Shabbat/Yom Tov. Queue not processed.\");\n return;\n }\n\n const remaining: QueuedEmail[] = [];\n\n for (const item of queue) {\n try {\n await email({\n subject: item.subject,\n html: item.html,\n });\n\n console.log(\"Sent queued email:\", item.subject);\n } catch (err) {\n console.error(\n \"Failed to send queued email, keeping in queue:\",\n err,\n );\n\n remaining.push(item);\n }\n }\n\n await blob.setJSON(QUEUE_KEY, remaining);\n\n console.log(\n `Queue processed: ${\n queue.length - remaining.length\n } sent, ${remaining.length} remaining`,\n );\n}",[152],"a4b34b16-6aeb-45ca-851e-b82976c2babf","queue.ts","20fd96da-7bde-11f1-b9fb-1607ee4eb77e",29,["D",1783675527586],"// Shared queue definitions for Shabbat-delayed emails\nexport const QUEUE_KEY = \"email-queue\";\n\nexport interface QueuedEmail {\n subject: string;\n html: string;\n}",[161],"0a68e4b8-2d97-4d3a-9b1b-bb43edaec15c","main.ts","273b695e-7bda-11f1-b34a-1607ee4eb77e",46,["D",1783885826463],15,"email","import { email } from \"https://esm.town/v/std/email\";\nimport { blob } from \"https://esm.town/v/std/blob/main.ts\";\nimport { summarizeNewsletter } from \"./summarize.ts\";\nimport { isAssurBemlacha } from \"./shabbat.ts\";\nimport { QUEUE_KEY, type QueuedEmail } from \"./queue.ts\";\nimport { marked } from \"npm:marked\";\nimport { load } from \"npm:cheerio\";\n\nfunction extractImageUrls(html: string): string[] {\n const $ = load(html);\n const images: string[] = [];\n\n $(\"img\").each((_, img) => {\n const src = $(img).attr(\"src\") ||\n $(img).attr(\"data-src\") ||\n $(img).attr(\"data-original\");\n\n if (!src) return;\n\n const width = Number($(img).attr(\"width\"));\n const height = Number($(img).attr(\"height\"));\n\n if (width === 1 || height === 1) return;\n\n images.push(src);\n });\n\n return [...new Set(images)];\n}\n\nexport default async function (e: Email) {\n console.log(\"Newsletter received:\", e.from, e.subject);\n\n // Prefer plain text, fall back to HTML stripped of tags\n const body = e.text ||\n (e.html ? e.html.replace(/<[^>]*>/g, \" \").replace(/\\s+/g, \" \").trim() : \"\");\n\n if (!body) {\n console.log(\"Empty body — skipping\");\n return;\n }\n console.log(extractImageUrls(e.html));\n return;\n\n try {\n const summary = await summarizeNewsletter(\n e.subject ?? \"(no subject)\",\n body,\n );\n console.log(\"Summary generated:\", summary);\n\n const subject = `📬 TL;DR — ${e.subject ?? \"Newsletter\"}`;\n const html = `\n

📬 TL;DR Newsletter Summary

\n From: ${e.from}
\n Subject: ${e.subject ?? \"(no subject)\"}\n

\n ${marked.parse(summary.replace(/\\n/g, \"

\"))}\n

\n Newsletter TL;DR automation by \n \n val.town\n & \n shlmt\n \n

\n `;\n\n // Don't send during Shabbat — queue for delivery after havdalah instead.\n // If the Hebcal check fails for any reason, fall back to sending immediately.\n let isShabbatNow = false;\n let havdalah: Date | undefined;\n try {\n isShabbatNow = await isAssurBemlacha();\n } catch (err) {\n console.error(\"Hebcal check failed, sending immediately:\", err);\n }\n\n if (isShabbatNow) {\n const queue: QueuedEmail[] = (await blob.getJSON(QUEUE_KEY)) ?? [];\n queue.push({ subject, html });\n await blob.setJSON(QUEUE_KEY, queue);\n console.log(\n `It's Shabbat — email queued for delivery after havdalah (${havdalah.toISOString()})`,\n );\n return;\n }\n\n await email({ subject, html });\n console.log(\"TL;DR email sent successfully\");\n } catch (err) {\n console.error(\"Failed to process newsletter:\", err);\n throw err;\n }\n}","tldr-newsletters",[168],"3e5f4be6-9b42-4038-82dd-0a66a9faf5c3","README.md","3699fc08-7bda-11f1-9c2a-1607ee4eb77e",34,["D",1783678963696],"# 📬 Newsletter TL;DR\n\nAutomatically summarize newsletters and get a TL;DR delivered to your email.\n\n## How it works\n\n1. You subscribe to any newsletter using your val's email address\n2. When a newsletter arrives, it's summarized by AI (OpenAI `gpt-4o-mini`)\n3. A TL;DR summary is emailed to your Val Town account email\n\n## Setup\n\n### 1. Add your GEMINI API key\n\n👉 Add GEMINI_API_KEY here:\nhttps://www.val.town/x/shlmt/newsletter-tldr/environment-variables?key=GEMINI_API_KEY\n\nGet a key at [Google AI Studio](https://aistudio.google.com/app/apikey).\n\n### 2. Subscribe to newsletters\n\nUse your val's email address when subscribing to any newsletter:\n\nThat's it! Every time a newsletter email arrives, you'll get a TL;DR in your\ninbox.\n\n## Files\n\n- `main.ts` — email handler (entrypoint, triggered on incoming mail)\n- `summarize.ts` — calls Gemini to generate the TL;DR summary\n- `shabat.ts` - check if is assur-bmelacha time.\n- `send-queued.ts` - chron every 12h, check if mutar-bmelacha & send the queued\n emails.",[178],"pulls",0,"branches","forks",4,"envVars",{"_193":148,"_195":185},"connections",{"_193":185,"_194":185},"count","unfilledCount","emptyCount",{"_43":177,"_32":178,"_30":179,"_136":-5,"_41":42,"_40":180,"_137":146,"_38":218,"_13":62,"_33":20,"_35":182,"_24":25,"_140":-5,"_203":219,"_27":220},{"_43":167,"_32":168,"_30":169,"_136":-5,"_41":42,"_40":170,"_137":25,"_38":215,"_13":172,"_33":173,"_35":174,"_24":25,"_140":175,"_203":216,"_27":217},{"_43":160,"_32":161,"_30":162,"_136":-5,"_41":42,"_40":163,"_137":25,"_38":212,"_13":62,"_33":34,"_35":165,"_24":25,"_140":-5,"_203":213,"_27":214},{"_43":151,"_32":152,"_30":153,"_136":-5,"_41":42,"_40":154,"_137":146,"_38":209,"_13":156,"_33":157,"_35":158,"_24":25,"_140":-5,"_203":210,"_27":211},{"_43":142,"_32":143,"_30":144,"_136":-5,"_41":42,"_40":145,"_137":146,"_38":206,"_13":148,"_33":34,"_35":149,"_24":25,"_140":-5,"_203":207,"_27":208},{"_43":135,"_32":28,"_30":31,"_136":-5,"_41":42,"_40":14,"_137":25,"_38":202,"_13":139,"_33":34,"_35":37,"_24":25,"_140":-5,"_203":204,"_27":205},["D",1783886029993],"children",[],[28],["D",1783678728710],[],[143],["D",1783678732585],[],[152],["D",1783675527586],[],[161],["D",1783885826463],[],[168],["D",1783678963696],[],[178],["D",1783631231612],["D",1789525843977],{"_99":98,"_106":102},{"_99":98,"_100":-5,"_101":102,"_18":56,"_103":104,"_105":25},{"_13":88,"_32":89,"_43":42,"_90":44,"_91":-5,"_92":-5,"_93":-5,"_94":-5,"_95":-5,"_96":45,"_97":98},"ctx",{"_81":-5,"_126":259,"_260":261,"_262":263,"_264":25,"_265":25,"_266":25,"_267":146,"_268":-5,"_269":-7,"_270":-7,"_271":185,"_272":25,"_273":25,"_274":-5,"_275":25,"_276":25,"_277":25,"_278":-5},"ENV",{"_230":231,"_232":233,"_234":89,"_235":236,"_237":238,"_239":240,"_241":242,"_243":244,"_245":246,"_247":248,"_249":250,"_251":252,"_253":254,"_255":256,"_257":258},"REACT_APP_SENTRY_DSN","https://586020d86f05489db63a554690acf1e9@o1398359.ingest.sentry.io/6724499","RENDER_GIT_COMMIT","fdb67791413f4386b4dbf18f354029a617f6160f","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"]

Diff · v47