[{"_1":2,"_3":-5,"_4":-5},"loaderData",{"_5":6,"_7":8,"_9":10},"actionData","errors","root",{"_197":198,"_199":200},"routes/_app.x.$handle.$name",{"_100":99,"_32":45,"_109":90,"_27":110,"_13":14,"_111":-5,"_11":112,"_113":114,"_115":116,"_117":118,"_119":120,"_20":-5,"_121":-5,"_122":-5,"_123":25,"_124":125,"_126":59,"_127":-5,"_128":-5,"_129":130},"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":-5,"_18":55,"_56":57,"_58":59,"_60":-5,"_61":-5,"_62":63,"_64":65,"_66":67,"_68":69,"_70":71,"_72":-5,"_73":74,"_75":74,"_76":77,"_78":77,"_79":77,"_80":74,"_81":74,"_82":83,"_84":85,"_86":87,"_88":25},"version",10,"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","db.ts","latestPath","fileId","9b4342ae-688e-11f1-a5d2-1607ee4eb77e","name","fileType","script","content","import { sqlite } from \"https://esm.town/v/std/sqlite\";\n\nconst TABLE = \"user_model_v1\";\n\nexport const DEFAULT_MODEL = \"gemini-3.5-flash\";\n\n// Models users can pick from. Keep this list short and current.\nexport const AVAILABLE_MODELS = [\n \"gemini-3.5-flash\",\n \"gemini-2.5-pro\",\n \"gemini-2.5-flash\",\n \"gemini-2.0-flash\",\n \"gemini-2.0-flash-lite\",\n] as const;\n\nawait sqlite.execute(\n `CREATE TABLE IF NOT EXISTS ${TABLE} (\n chat_id INTEGER PRIMARY KEY,\n model TEXT NOT NULL\n )`,\n);\n\nexport async function getModel(chatId: number): Promise {\n const res = await sqlite.execute({\n sql: `SELECT model FROM ${TABLE} WHERE chat_id = ?`,\n args: [chatId],\n });\n return (res.rows[0]?.[0] as string) ?? DEFAULT_MODEL;\n}\n\nexport async function setModel(chatId: number, model: string): Promise {\n await sqlite.execute({\n sql:\n `INSERT INTO ${TABLE} (chat_id, model) VALUES (?, ?)\n ON CONFLICT(chat_id) DO UPDATE SET model = excluded.model`,\n args: [chatId, model],\n });\n}\n","import { sqlite } from \"https://esm.town/v/std/sqlite\";\n\nconst TABLE_MODELS = \"user_model_v1\";\nconst TABLE_HISTORY = \"user_history_v1\";\n\nexport const DEFAULT_MODEL = \"gemini-3.5-flash\";\nexport const AVAILABLE_MODELS = [\"gemini-3.5-flash\", \"gemini-2.5-pro\"] as const;\n\nasync function initDb() {\n // Cria a tabela de modelos\n await sqlite.execute(\n `CREATE TABLE IF NOT EXISTS ${TABLE_MODELS} (\n chat_id INTEGER PRIMARY KEY,\n model TEXT NOT NULL\n )`,\n );\n // Cria a tabela de histórico (guarda o JSON da estrutura de turnos)\n await sqlite.execute(\n `CREATE TABLE IF NOT EXISTS ${TABLE_HISTORY} (\n chat_id INTEGER PRIMARY KEY,\n history TEXT NOT NULL\n )`,\n );\n}\n\nexport async function getModel(chatId: number): Promise {\n await initDb();\n const res = await sqlite.execute({\n sql: `SELECT model FROM ${TABLE_MODELS} WHERE chat_id = ?`,\n args: [chatId],\n });\n return (res.rows[0]?.[0] as string) ?? DEFAULT_MODEL;\n}\n\nexport async function setModel(chatId: number, model: string): Promise {\n await initDb();\n await sqlite.execute({\n sql: `INSERT INTO ${TABLE_MODELS} (chat_id, model) VALUES (?, ?)\n ON CONFLICT(chat_id) DO UPDATE SET model = excluded.model`,\n args: [chatId, model],\n });\n}\n\n// RECUPERA O HISTÓRICO DO CHAT\nexport async function getChatHistory(chatId: number): Promise {\n await initDb();\n const res = await sqlite.execute({\n sql: `SELECT history FROM ${TABLE_HISTORY} WHERE chat_id = ?`,\n args: [chatId],\n });\n if (res.rows[0]?.[0]) {\n return JSON.parse(res.rows[0][0] as string);\n }\n return [];\n}\n\n// ATUALIZA O HISTÓRICO DO CHAT\nexport async function saveChatHistory(\n chatId: number,\n history: any[],\n): Promise {\n await initDb();\n // Limitamos às últimas 20 mensagens para não estourar os limites de tokens à toa\n const limitedHistory = history.slice(-20);\n await sqlite.execute({\n sql: `INSERT INTO ${TABLE_HISTORY} (chat_id, history) VALUES (?, ?)\n ON CONFLICT(chat_id) DO UPDATE SET history = excluded.history`,\n args: [chatId, JSON.stringify(limitedHistory)],\n });\n}\n\n// LIMPA A MEMÓRIA (Caso queiras começar um chat do zero)\nexport async function clearChatHistory(chatId: number): Promise {\n await initDb();\n await sqlite.execute({\n sql: `DELETE FROM ${TABLE_HISTORY} WHERE chat_id = ?`,\n args: [chatId],\n });\n}","createdAt",["D",1781511339784],"branchVersion","branchId","38d86da5-9347-483b-9855-51ff8df4173a","id","751f922a-b77e-4570-aa1a-43db48b92da7","telegram-gemini-bot",["D",1781509578284],"deletedAt","legacyEnvVars","privacy","public","httpPrivacy","description","Telegram bot powered by Gemini AI","imageUrl","146fb0bf-2d94-4dd8-ab02-33b22e0dbacc","pinnedFileId","55b5edae-688e-11f1-9bc9-1607ee4eb77e","pinPreview",true,"pinMigrated","screenshotVersion","likeCount",0,"orgId","019eca3e-3ddb-742c-98ed-8dcff8864435","tursoName","751f922ab77e4570aa1a43db48b92da7","tursoHostname","751f922ab77e4570aa1a43db48b92da7-val-town.aws-us-east-2.turso.io","tursoMeasuredAt",["D",1789520505489],"pinned","userPerm","r","valPerm","blobPerm","rw","emailPerm","sqlitePerm","projectPerm","telemetryPerm","user",{"_100":99,"_108":104},"org",{"_100":99,"_101":102,"_103":104,"_18":55,"_105":106,"_107":25},"branch",{"_13":89,"_32":90,"_43":42,"_91":44,"_92":-5,"_93":-5,"_94":-5,"_95":-5,"_96":-5,"_97":45,"_98":99},"isOwned",14,"main","projectId","forkedBranchId","forkedBranchVersion","forkedProjectPrivacy","forkedProjectId","forkedProjectOrgId","projectName","userHandle","venxer","handle","displayName","Afonso Lopes 4","avatar","https://lh3.googleusercontent.com/a/ACg8ocJn-8t6vxmfuh0Ua4m2Fcf_SqsbaDPqvQiHkfju-igStE2V9bw=s96-c","tier","free","canRestrictVals","profileImageUrl","branchName","","adoptOrgId",{"_43":44,"_32":45,"_38":192,"_47":-5,"_48":25,"_49":50,"_51":50,"_52":53,"_54":-5,"_18":55,"_56":57,"_58":59,"_60":-5,"_61":-5,"_62":63,"_64":65,"_66":67,"_68":69,"_70":193,"_72":-5,"_73":74,"_75":74,"_76":77,"_78":77,"_79":77,"_80":74,"_81":74,"_82":194,"_84":195,"_86":196,"_88":25},"tree",[175,176,177,178],"files",[175,176,177,178],"counts",{"_165":63,"_166":158,"_167":63,"_168":169,"_170":171},"contents",[131,132,133,134],"upstreamProject","upstreamBranch","emptyEnvVars","flags",[],"hasHttpFiles","grants","orgs","customDomains",{},{"_43":161,"_32":28,"_30":31,"_138":-5,"_41":42,"_40":14,"_140":59,"_38":162,"_13":163,"_33":34,"_35":37,"_24":25,"_143":-5,"_27":164},{"_43":153,"_32":154,"_30":155,"_138":-5,"_41":42,"_40":156,"_140":25,"_38":157,"_13":158,"_33":34,"_35":159,"_24":25,"_143":-5,"_27":160},{"_43":145,"_32":146,"_30":57,"_138":-5,"_41":42,"_40":147,"_140":25,"_38":148,"_13":149,"_33":150,"_35":151,"_24":25,"_143":-5,"_27":152},{"_43":135,"_32":136,"_30":137,"_138":-5,"_41":42,"_40":139,"_140":25,"_38":141,"_13":63,"_33":34,"_35":142,"_24":25,"_143":-5,"_27":144},"5514b78b-285c-45ca-b8de-e0f8c840feea","telegram.ts","3b05deae-6890-11f1-8fb1-1607ee4eb77e","parentId",6,"latest",["D",1781510409989],"// Helpers for talking to the Telegram Bot API.\n\nconst TOKEN = Deno.env.get(\"TELEGRAM_BOT_TOKEN\");\n\nexport async function sendMessage(chatId: number, text: string) {\n // Telegram caps messages at 4096 chars; split long replies.\n const chunks = splitText(text, 4000);\n for (const chunk of chunks) {\n await fetch(`https://api.telegram.org/bot${TOKEN}/sendMessage`, {\n method: \"POST\",\n headers: { \"Content-Type\": \"application/json\" },\n body: JSON.stringify({ chat_id: chatId, text: chunk }),\n });\n }\n}\n\nexport async function sendChatAction(chatId: number, action = \"typing\") {\n await fetch(`https://api.telegram.org/bot${TOKEN}/sendChatAction`, {\n method: \"POST\",\n headers: { \"Content-Type\": \"application/json\" },\n body: JSON.stringify({ chat_id: chatId, action }),\n });\n}\n\n// Resolve a Telegram file_id to a temporary download URL.\nexport async function getFileUrl(fileId: string): Promise {\n const res = await fetch(\n `https://api.telegram.org/bot${TOKEN}/getFile?file_id=${fileId}`,\n );\n const data = await res.json();\n if (!data.ok) {\n console.error(\"getFile error:\", JSON.stringify(data));\n return null;\n }\n return `https://api.telegram.org/file/bot${TOKEN}/${data.result.file_path}`;\n}\n\n// Download a Telegram file as base64 (needed for Gemini inline_data).\nexport async function downloadAsBase64(\n fileId: string,\n): Promise<{ base64: string; bytes: number } | null> {\n const fileUrl = await getFileUrl(fileId);\n if (!fileUrl) return null;\n const res = await fetch(fileUrl);\n const buf = new Uint8Array(await res.arrayBuffer());\n let binary = \"\";\n for (let i = 0; i < buf.length; i++) binary += String.fromCharCode(buf[i]);\n return { base64: btoa(binary), bytes: buf.length };\n}\n\n// Download a Telegram file as UTF-8 text (for .txt documents).\nexport async function downloadAsText(fileId: string): Promise {\n const fileUrl = await getFileUrl(fileId);\n if (!fileUrl) return null;\n const res = await fetch(fileUrl);\n return await res.text();\n}\n\nfunction splitText(text: string, max: number): string[] {\n if (text.length <= max) return [text];\n const chunks: string[] = [];\n for (let i = 0; i < text.length; i += max) {\n chunks.push(text.slice(i, i + max));\n }\n return chunks;\n}\n","label",[136],"46797e15-be1a-478a-bd03-ecc6c5be7452","main.ts",8,["D",1781510445901],3,"http","// Telegram bot powered by Google's Gemini API.\n//\n// Setup (2 env vars required):\n// 1. TELEGRAM_BOT_TOKEN — from @BotFather on Telegram\n// 2. GEMINI_API_KEY — from https://aistudio.google.com/apikey\n//\n// After deploying, register this val's URL as your Telegram webhook by\n// visiting this endpoint once in your browser with ?setup at the end:\n// https:///?setup\n//\n// Supports: plain text, photos (multimodal vision), and .txt documents.\n\nimport { AVAILABLE_MODELS, getModel, setModel } from \"./db.ts\";\nimport { imagePrompt, textPrompt } from \"./gemini.ts\";\nimport {\n downloadAsBase64,\n downloadAsText,\n sendChatAction,\n sendMessage,\n} from \"./telegram.ts\";\n\nconst TELEGRAM_TOKEN = Deno.env.get(\"TELEGRAM_BOT_TOKEN\");\nconst GEMINI_KEY = Deno.env.get(\"GEMINI_API_KEY\");\n\n// Largest .txt we'll inline into a prompt (chars). Keeps within context limits.\nconst MAX_TXT_CHARS = 100_000;\n\nasync function handleModelCommand(chatId: number, text: string) {\n const arg = text.slice(\"/model\".length).trim();\n const current = await getModel(chatId);\n if (!arg) {\n const list = AVAILABLE_MODELS\n .map((m) => `${m === current ? \"✅\" : \"▫️\"} ${m}`)\n .join(\"\\n\");\n await sendMessage(\n chatId,\n `Modelo atual: ${current}\\n\\nModelos disponíveis:\\n${list}\\n\\n` +\n `Para mudar: /model gemini-2.5-flash`,\n );\n } else if ((AVAILABLE_MODELS as readonly string[]).includes(arg)) {\n await setModel(chatId, arg);\n await sendMessage(chatId, `✅ Modelo definido para ${arg}`);\n } else {\n await sendMessage(\n chatId,\n `Modelo desconhecido \"${arg}\".\\nEscolhe um de:\\n${\n AVAILABLE_MODELS.join(\"\\n\")\n }`,\n );\n }\n}\n\nasync function handleMessage(message: any) {\n const chatId: number | undefined = message?.chat?.id;\n if (!chatId) return;\n\n const text: string | undefined = message.text;\n const caption: string | undefined = message.caption;\n const photo = message.photo; // array of sizes, last = largest\n const document = message.document;\n const model = await getModel(chatId);\n\n // 1) Commands\n if (text === \"/start\") {\n await sendMessage(\n chatId,\n \"👋 Olá! Sou um bot com Gemini. Podes enviar-me:\\n\" +\n \"• 💬 Texto — respondo a qualquer pergunta\\n\" +\n \"• 🖼️ Fotografias — analiso/descrevo (com legenda opcional)\\n\" +\n \"• 📄 Ficheiros .txt — leio e respondo (com legenda opcional)\\n\\n\" +\n \"Usa /model para ver ou mudar o modelo Gemini.\",\n );\n return;\n }\n if (text === \"/model\" || text?.startsWith(\"/model \")) {\n await handleModelCommand(chatId, text);\n return;\n }\n\n await sendChatAction(chatId, \"typing\");\n\n // 2) Photo (multimodal vision)\n if (photo && photo.length > 0) {\n const largest = photo[photo.length - 1];\n const file = await downloadAsBase64(largest.file_id);\n if (!file) {\n await sendMessage(chatId, \"Não consegui descarregar a imagem. 😕\");\n return;\n }\n const reply = await imagePrompt(\n file.base64,\n \"image/jpeg\",\n caption ?? \"\",\n model,\n );\n await sendMessage(chatId, reply);\n return;\n }\n\n // 3) Document — handle .txt (and image documents sent as files)\n if (document) {\n const name: string = document.file_name ?? \"ficheiro\";\n const mime: string = document.mime_type ?? \"\";\n\n if (mime.startsWith(\"image/\")) {\n const file = await downloadAsBase64(document.file_id);\n if (!file) {\n await sendMessage(chatId, \"Não consegui descarregar a imagem. 😕\");\n return;\n }\n const reply = await imagePrompt(file.base64, mime, caption ?? \"\", model);\n await sendMessage(chatId, reply);\n return;\n }\n\n const isText = mime.startsWith(\"text/\") ||\n name.toLowerCase().endsWith(\".txt\");\n if (!isText) {\n await sendMessage(\n chatId,\n `Por agora só processo imagens e ficheiros de texto (.txt). ` +\n `Recebi \"${name}\" (${mime || \"tipo desconhecido\"}).`,\n );\n return;\n }\n\n let content = await downloadAsText(document.file_id);\n if (content == null) {\n await sendMessage(chatId, \"Não consegui ler o ficheiro. 😕\");\n return;\n }\n let truncatedNote = \"\";\n if (content.length > MAX_TXT_CHARS) {\n content = content.slice(0, MAX_TXT_CHARS);\n truncatedNote =\n \"\\n\\n(Nota: o ficheiro era grande e foi truncado para análise.)\";\n }\n const instruction = caption?.trim() ||\n \"Resume e analisa o conteúdo deste ficheiro de texto.\";\n const reply = await textPrompt(\n `${instruction}\\n\\n--- Conteúdo de \"${name}\" ---\\n${content}`,\n model,\n );\n await sendMessage(chatId, reply + truncatedNote);\n return;\n }\n\n // 4) Plain text\n if (text) {\n const reply = await textPrompt(text, model);\n await sendMessage(chatId, reply);\n return;\n }\n\n // 5) Anything else\n await sendMessage(\n chatId,\n \"Só consigo processar texto, fotografias e ficheiros .txt por agora. 🙂\",\n );\n}\n\nexport default async function (req: Request): Promise {\n if (!TELEGRAM_TOKEN || !GEMINI_KEY) {\n return new Response(\n \"Missing env vars. Set TELEGRAM_BOT_TOKEN and GEMINI_API_KEY.\",\n { status: 500 },\n );\n }\n\n const url = new URL(req.url);\n\n // One-time webhook registration: visit /?setup\n if (url.searchParams.has(\"setup\")) {\n const webhookUrl = `${url.origin}${url.pathname}`;\n const res = await fetch(\n `https://api.telegram.org/bot${TELEGRAM_TOKEN}/setWebhook?url=${\n encodeURIComponent(webhookUrl)\n }`,\n );\n return Response.json(await res.json());\n }\n\n // Telegram sends updates as POST requests\n if (req.method === \"POST\") {\n try {\n const update = await req.json();\n if (update.message) await handleMessage(update.message);\n } catch (err) {\n console.error(\"Handler error:\", err);\n }\n return new Response(\"ok\");\n }\n\n return new Response(\n \"Telegram + Gemini bot is running. Visit /?setup to register the webhook.\",\n );\n}\n",[146],"2b03ad03-cbc5-4f9a-a9d5-ca4bf1b7ebe2","gemini.ts","40978e8a-6890-11f1-abb0-1607ee4eb77e",9,["D",1781511336224],1,"const GEMINI_KEY = Deno.env.get(\"GEMINI_API_KEY\");\n\nexport interface ChatContent {\n role: \"user\" | \"model\";\n parts: (\n | { text: string }\n | { inline_data: { mime_type: string; data: string } }\n )[];\n}\n\n// Agora recebe a estrutura de \"contents\" completa com o histórico estruturado\nexport async function generate(\n contents: ChatContent[],\n model: string,\n): Promise {\n const url =\n `https://generativelanguage.googleapis.com/v1beta/models/${model}:generateContent?key=${GEMINI_KEY}`;\n\n const res = await fetch(url, {\n method: \"POST\",\n headers: { \"Content-Type\": \"application/json\" },\n body: JSON.stringify({\n contents,\n config: {\n systemInstruction:\n \"És um assistente e tutor de engenharia e matemática detalhado. Resolve e analisa tudo passo a passo.\",\n temperature: 0.2,\n },\n }),\n });\n\n const data = await res.json();\n if (!res.ok) {\n console.error(\"Gemini error:\", JSON.stringify(data));\n return \"Desculpa, tive um problema a processar isso. Tenta novamente.\";\n }\n return (\n data?.candidates?.[0]?.content?.parts?.[0]?.text ??\n \"Hmm, não obtive uma resposta.\"\n );\n}",[154],"af6bf904-d9eb-4f8b-9413-0790282a7c12",["D",1781511339784],2,[28],"pulls","branches","forks","envVars",{"_172":163,"_174":63},"connections",{"_172":63,"_173":63},"count","unfilledCount","emptyCount",{"_43":161,"_32":28,"_30":31,"_138":-5,"_41":42,"_40":14,"_140":59,"_38":189,"_13":163,"_33":34,"_35":37,"_24":25,"_143":-5,"_180":190,"_27":191},{"_43":153,"_32":154,"_30":155,"_138":-5,"_41":42,"_40":156,"_140":25,"_38":186,"_13":158,"_33":34,"_35":159,"_24":25,"_143":-5,"_180":187,"_27":188},{"_43":145,"_32":146,"_30":57,"_138":-5,"_41":42,"_40":147,"_140":25,"_38":183,"_13":149,"_33":150,"_35":151,"_24":25,"_143":-5,"_180":184,"_27":185},{"_43":135,"_32":136,"_30":137,"_138":-5,"_41":42,"_40":139,"_140":25,"_38":179,"_13":63,"_33":34,"_35":142,"_24":25,"_143":-5,"_180":181,"_27":182},["D",1781510409989],"children",[],[136],["D",1781510445901],[],[146],["D",1781511336224],[],[154],["D",1781511339784],[],[28],["D",1781509578284],["D",1789520505489],{"_100":99,"_108":104},{"_100":99,"_101":102,"_103":104,"_18":55,"_105":106,"_107":25},{"_13":89,"_32":90,"_43":42,"_91":44,"_92":-5,"_93":-5,"_94":-5,"_95":-5,"_96":-5,"_97":45,"_98":99},"ctx",{"_82":-5,"_128":230,"_231":232,"_233":234,"_235":25,"_236":25,"_237":25,"_238":59,"_239":-5,"_240":-7,"_241":-7,"_242":63,"_243":25,"_244":25,"_245":-5,"_246":25,"_247":25,"_248":25,"_249":-5},"ENV",{"_201":202,"_203":204,"_205":90,"_206":207,"_208":209,"_210":211,"_212":213,"_214":215,"_216":217,"_218":219,"_220":221,"_222":223,"_224":225,"_226":227,"_228":229},"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"]

Diff · v10