[{"_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",12,"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","gemini.ts","latestPath","fileId","40978e8a-6890-11f1-abb0-1607ee4eb77e","name","fileType","script","content","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}","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\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 bodyPayload = {\n contents,\n // Em vez de systemInstruction dentro de config, passa-se na raiz do JSON desta forma:\n systemInstruction: {\n parts: [{\n text:\n \"És um assistente e tutor de engenharia e matemática detalhado. Resolve e analisa tudo passo a passo.\",\n }],\n },\n // Em vez de \"config\", a API lê \"generationConfig\" na raiz:\n generationConfig: {\n temperature: 0.2,\n },\n };\n\n const res = await fetch(url, {\n method: \"POST\",\n headers: { \"Content-Type\": \"application/json\" },\n body: JSON.stringify(bodyPayload),\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}","createdAt",["D",1781511405339],"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",1789433462503],"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",{"_164":63,"_165":166,"_167":63,"_168":169,"_170":171},"contents",[131,132,133,134],"upstreamProject","upstreamBranch","emptyEnvVars","flags",[],"hasHttpFiles","grants","orgs","customDomains",{},{"_43":157,"_32":158,"_30":159,"_138":-5,"_41":42,"_40":160,"_140":59,"_38":161,"_13":155,"_33":34,"_35":162,"_24":25,"_143":-5,"_27":163},{"_43":153,"_32":28,"_30":31,"_138":-5,"_41":42,"_40":14,"_140":25,"_38":154,"_13":155,"_33":34,"_35":37,"_24":25,"_143":-5,"_27":156},{"_43":145,"_32":146,"_30":57,"_138":-5,"_41":42,"_40":147,"_140":59,"_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],"68415059-bdd1-4d5f-b11b-fca2a303910d","main.ts",11,["D",1781511343918],4,"http","import {\n AVAILABLE_MODELS,\n clearChatHistory,\n getChatHistory,\n getModel,\n saveChatHistory,\n setModel,\n} from \"./db.ts\";\nimport { generate } 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\");\nconst MAX_TXT_CHARS = 50_000;\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;\n const document = message.document;\n\n const model = await getModel(chatId);\n // 1. Carrega o histórico existente do SQLite\n let history = await getChatHistory(chatId);\n\n if (text === \"/start\") {\n await sendMessage(\n chatId,\n \"👋 Olá! Podes enviar texto, fotos ou ficheiros .txt. Agora tenho memória ativa!\\nUsa /clear para reiniciar a conversa.\",\n );\n return;\n }\n\n if (text === \"/clear\") {\n await clearChatHistory(chatId);\n await sendMessage(chatId, \"🧹 Memória limpa! Conversa reiniciada.\");\n return;\n }\n\n // (Comando /model omitido aqui para brevidade, mas podes manter a lógica que tinhas)\n\n await sendChatAction(chatId, \"typing\");\n\n let currentParts: any[] = [];\n\n // 2. Processa o Input atual do utilizador\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 currentParts.push({\n inline_data: { mime_type: \"image/jpeg\", data: file.base64 },\n });\n currentParts.push({\n text: caption?.trim() || \"Analisa e resolve o exercício desta imagem.\",\n });\n }\n } else if (\n document &&\n (document.mime_type?.startsWith(\"text/\") ||\n document.file_name?.endsWith(\".txt\"))\n ) {\n let content = await downloadAsText(document.file_id);\n if (content) {\n if (content.length > MAX_TXT_CHARS) {\n content = content.slice(0, MAX_TXT_CHARS);\n }\n currentParts.push({\n text:\n `[Conteúdo do Ficheiro ${document.file_name}]:\\n${content}\\n\\nInstrução: ${\n caption?.trim() || \"Analisa o ficheiro.\"\n }`,\n });\n }\n } else if (text) {\n currentParts.push({ text: text });\n }\n\n if (currentParts.length === 0) {\n await sendMessage(\n chatId,\n \"Formato não suportado. Envia texto, fotos ou ficheiros .txt.\",\n );\n return;\n }\n\n // 3. Adiciona o turno do utilizador ao histórico\n history.push({ role: \"user\", parts: currentParts });\n\n // 4. Envia todo o histórico (contexto completo) para o Gemini\n const reply = await generate(history, model);\n\n // 5. Adiciona a resposta da IA ao histórico e guarda no SQLite\n history.push({ role: \"model\", parts: [{ text: reply }] });\n await saveChatHistory(chatId, history);\n\n // 6. Responde no Telegram\n await sendMessage(chatId, reply);\n}\n\nexport default async function (req: Request): Promise {\n // Mantém a função export default exatamente igual à tua (com tratamento de POST e ?setup)\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(err);\n }\n return new Response(\"ok\");\n }\n // ... resto do teu código de setup original\n return new Response(\"Running\");\n}",[146],"5b1e63e7-41f5-4778-b194-d4d9ecc1fd0e",["D",1781511405339],2,[28],"af6bf904-d9eb-4f8b-9413-0790282a7c12","db.ts","9b4342ae-688e-11f1-a5d2-1607ee4eb77e",10,["D",1781511339784],"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}",[158],"pulls","branches",1,"forks","envVars",{"_172":155,"_174":63},"connections",{"_172":63,"_173":63},"count","unfilledCount","emptyCount",{"_43":157,"_32":158,"_30":159,"_138":-5,"_41":42,"_40":160,"_140":59,"_38":189,"_13":155,"_33":34,"_35":162,"_24":25,"_143":-5,"_180":190,"_27":191},{"_43":153,"_32":28,"_30":31,"_138":-5,"_41":42,"_40":14,"_140":25,"_38":186,"_13":155,"_33":34,"_35":37,"_24":25,"_143":-5,"_180":187,"_27":188},{"_43":145,"_32":146,"_30":57,"_138":-5,"_41":42,"_40":147,"_140":59,"_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",1781511343918],[],[146],["D",1781511405339],[],[28],["D",1781511339784],[],[158],["D",1781509578284],["D",1789433462503],{"_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 · v12