[{"_1":2,"_3":-5,"_4":-5},"loaderData",{"_5":6,"_7":8,"_9":10},"actionData","errors","root",{"_162":163,"_164":165},"routes/_app.x.$handle.$name",{"_104":103,"_38":51,"_112":94,"_33":106,"_13":14,"_113":-5,"_11":114,"_115":116,"_117":118,"_119":120,"_121":122,"_26":-5,"_123":-5,"_124":-5,"_125":31,"_126":127,"_128":64,"_129":-5,"_130":-5,"_131":132},"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":37,"_63":64,"_65":-5,"_66":-5,"_67":68,"_69":70,"_71":72,"_73":74,"_75":76,"_77":-5,"_78":79,"_80":79,"_81":82,"_83":82,"_84":82,"_85":79,"_86":79,"_87":88,"_89":90,"_91":92,"_93":31},"version",11,"changes",[25],"aiChatInfo",{"_20":21,"_22":-5,"_23":-5,"_24":-5},"userId","aiChatMessageId","3149ba1f-aa9c-4d90-93e3-54b453dcb8b6","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","main.ts","latestPath","fileId","87ecf6cc-9eea-11f1-8e2e-1607ee4eb77e","name","fileType","http","content","import { sqlite } from \"https://esm.town/v/std/sqlite/main.ts\";\n\n// ── Системный промпт: характер Codey ──────────────────────────────────\nconst SYSTEM_PROMPT = `Ты — Codey, ИИ-помощник по кодингу, созданный с характером, вдохновлённым подходом опытного инженера.\n\nХарактер и стиль:\n- Сочетаешь дружелюбие и профессионализм: просто и тепло объясняешь новичкам, но без сюсюканья отвечаешь и на серьёзные инженерные вопросы.\n- Помогаешь с любым кодом: TypeScript, JavaScript, Python, веб-разработкой, алгоритмами, архитектурой.\n- Перед решением сложной задачи кратко называешь компромиссы и варианты, потом даёшь рабочий код.\n- Приводишь готовые примеры кода с типами там, где уместно.\n- Честно указываешь на проблемы в коде, не приукрашиваешь.\n- Держишь ответы компактными — без лишней воды, но достаточно полно.\n- Если задача неоднозначна — задаёшь один-два уточняющих вопроса.\n\nОтвечай на языке пользователя (обычно русский).`;\n\nconst MODEL = \"gemini-2.0-flash\";\nconst jsonHeaders = { \"content-type\": \"application/json; charset=utf-8\" };\nconst geminiKey = Deno.env.get(\"GEMINI_API_KEY\");\n\n// Готовим хранилище истории (идемпотентно)\nawait sqlite.execute(`CREATE TABLE IF NOT EXISTS messages (\n id INTEGER PRIMARY KEY AUTOINCREMENT,\n session TEXT NOT NULL,\n role TEXT NOT NULL,\n content TEXT NOT NULL,\n created_at TEXT DEFAULT (datetime('now'))\n)`);\nawait sqlite.execute(`CREATE INDEX IF NOT EXISTS idx_session ON messages(session, id)`);\n\nexport default async function handler(req: Request): Promise {\n const url = new URL(req.url);\n\n if (req.method === \"GET\") {\n return new Response(HTML, { headers: { \"content-type\": \"text/html; charset=utf-8\" } });\n }\n\n if (url.pathname === \"/api/clear\" && req.method === \"POST\") {\n const body = await req.json().catch(() => null);\n const session = (body?.session || \"default\").toString();\n await sqlite.execute({ sql: \"DELETE FROM messages WHERE session = ?\", args: [session] });\n return new Response(JSON.stringify({ ok: true }), { headers: jsonHeaders });\n }\n\n if (url.pathname === \"/api/chat\") {\n if (!geminiKey) {\n return new Response(JSON.stringify({ reply: \"⚠️ Нужен ключ GEMINI_API_KEY — добавь его в настройках проекта.\" }), { headers: jsonHeaders });\n }\n const body = await req.json().catch(() => null);\n const message = (body?.message || \"\").toString().trim();\n const session = (body?.session || \"default\").toString();\n if (!message) return new Response(JSON.stringify({ reply: \"Пустое сообщение 🤔\" }), { headers: jsonHeaders });\n\n try {\n const reply = await runChat(session, message);\n return new Response(JSON.stringify({ reply }), { headers: jsonHeaders });\n } catch (err) {\n return new Response(JSON.stringify({ reply: \"Ошибка ИИ: \" + (err instanceof Error ? err.message : String(err)) }), { headers: jsonHeaders });\n }\n }\n\n return new Response(\"404\", { status: 404 });\n}\n\n// Хранит историю и вызывает Gemini\nasync function runChat(session: string, message: string): Promise {\n // 1. сохраняем сообщение пользователя\n await sqlite.execute({\n sql: \"INSERT INTO messages (session, role, content) VALUES (?, 'user', ?)\",\n args: [session, message],\n });\n\n // 2. загружаем последние 20 сообщений для контекста\n const res = await sqlite.execute({\n sql: \"SELECT role, content FROM messages WHERE session = ? ORDER BY id DESC LIMIT 20\",\n args: [session],\n });\n const rows = res.rows as { role: string; content: string }[];\n rows.reverse();\n\n // 3. собираем contents для Gemini\n const contents = rows.map((r) => ({ role: r.role === \"user\" ? \"user\" : \"model\", parts: [{ text: r.content }] }));\n\n // 4. зовём Gemini\n const resp = await fetch(\n `https://generativelanguage.googleapis.com/v1beta/models/${MODEL}:generateContent?key=${geminiKey}`,\n {\n method: \"POST\",\n headers: { \"content-type\": \"application/json\" },\n body: JSON.stringify({\n systemInstruction: { parts: [{ text: SYSTEM_PROMPT }] },\n contents,\n generationConfig: { maxOutputTokens: 1024 },\n }),\n },\n );\n\n if (!resp.ok) {\n const t = await resp.text();\n throw new Error(`Gemini ${resp.status}: ${t.slice(0, 300)}`);\n }\n\n const data = await resp.json();\n const reply = data?.candidates?.[0]?.content?.parts?.map((p: { text?: string }) => p.text ?? \"\").join(\"\\n\") || \"…\";\n\n // 5. сохраняем ответ модели\n await sqlite.execute({\n sql: \"INSERT INTO messages (session, role, content) VALUES (?, 'assistant', ?)\",\n args: [session, reply],\n });\n\n return reply;\n}\n\n// ── Уникальный сайт: Codey ────────────────────────────────────────────\nconst HTML = `\n\n\n \n \n Codey — ИИ-помощник по кодингу\n \n\n\n

\n ⚡\n

Codey

\n \n

твой ИИ-напарник по кодингу — дружелюбный и профессиональный

\n \n \n

\n \n\n`;\n","import { sqlite } from \"https://esm.town/v/std/sqlite/main.ts\";\n\n// ── Самообучающаяся локальная модель (без ключей / без API) ──────────\n// Codey хранит пары \"тема → ответ\" в SQLite. На новый вопрос он сам ищет\n// самую похожую выученную тему и отвечает по ней. Если не знает —\n// просит научить, и запоминает навсегда. Чем больше общения — тем умнее.\n\nconst jsonHeaders = { \"content-type\": \"application/json; charset=utf-8\" };\n\n// Готовим хранилище (идемпотентно)\nawait sqlite.execute(`CREATE TABLE IF NOT EXISTS messages (\n id INTEGER PRIMARY KEY AUTOINCREMENT,\n session TEXT NOT NULL,\n role TEXT NOT NULL,\n content TEXT NOT NULL,\n created_at TEXT DEFAULT (datetime('now'))\n)`);\nawait sqlite.execute(`CREATE TABLE IF NOT EXISTS knowledge (\n id INTEGER PRIMARY KEY AUTOINCREMENT,\n topic TEXT NOT NULL,\n answer TEXT NOT NULL,\n hit_count INTEGER DEFAULT 0\n)`);\nawait sqlite.execute(`CREATE INDEX IF NOT EXISTS idx_session ON messages(session, id)`);\n\nexport default async function handler(req: Request): Promise {\n const url = new URL(req.url);\n\n if (req.method === \"GET\") {\n return new Response(HTML, { headers: { \"content-type\": \"text/html; charset=utf-8\" } });\n }\n\n const body = await req.json().catch(() => null);\n const session = (body?.session || \"default\").toString();\n let message = (body?.message || \"\").toString().trim();\n if (message === \"\") return new Response(JSON.stringify({ reply: \"Напиши что-нибудь 🙂\" }), { headers: jsonHeaders });\n\n // ── обучение: \"/учить <ответ>\" запоминает последний неизвестный вопрос ──\n const teach = message.match(/^\\/(?:учить|обучить|learn)\\s+([\\s\\S]+)$/i);\n if (teach) {\n const answer = teach[1].trim();\n await learnLastUnknown(session, answer);\n return new Response(JSON.stringify({ reply: \"✅ Запомнил это как научил! Теперь отвечу сам.\" }), { headers: jsonHeaders });\n }\n\n // ── забыть: \"/забудь <ответ>\" или \"/забудь\" ──\n const forget = message.match(/^\\/(?:забудь|удали|forget)\\s*([\\s\\S]*)$/i);\n if (forget) {\n const which = forget[1].trim();\n if (!which) {\n await sqlite.execute({ sql: \"DELETE FROM knowledge WHERE answer = (SELECT answer FROM knowledge ORDER BY hit_count DESC LIMIT 1)\" });\n return new Response(JSON.stringify({ reply: \"Удалил самый используемый ответ.\" }), { headers: jsonHeaders });\n }\n const res = await sqlite.execute({ sql: \"DELETE FROM knowledge WHERE lower(answer) LIKE lower(?)\", args: [`%${which}%`] });\n return new Response(JSON.stringify({ reply: res.rowsAffected > 0 ? \"🗑 Удалил: \" + which : \"Ничего не нашёл под это.\" }), { headers: jsonHeaders });\n }\n\n // ── сохраняем в историю ученика ──\n await sqlite.execute({\n sql: \"INSERT INTO messages (session, role, content) VALUES (?, 'user', ?)\",\n args: [session, message],\n });\n\n const { reply, known } = await answer(message);\n\n await sqlite.execute({\n sql: \"INSERT INTO messages (session, role, content) VALUES (?, 'assistant', ?)\",\n args: [session, reply],\n });\n\n return new Response(JSON.stringify({ reply, known }), { headers: jsonHeaders });\n}\n\n// ── Ядро самообучающейся модели ───────────────────────────────────────\nfunction tokenize(text: string): Set {\n const stops = new Set([\"для\", \"мне\", \"это\", \"как\", \"что\", \"можно\", \"написать\", \"сделать\", \"при\", \"во\", \"на\", \"не\", \"и\", \"в\", \"с\", \"по\", \"есть\"]);\n const words = text.toLowerCase().match(/[a-zа-яё0-9_]+/gi) || [];\n return new Set(words.filter((w) => w.length > 2 && !stops.has(w)));\n}\n\nfunction jaccard(a: Set, b: Set): number {\n if (a.size === 0 || b.size === 0) return 0;\n let inter = 0;\n for (const w of a) if (b.has(w)) inter++;\n return inter / (a.size + b.size - inter);\n}\n\n// Находит похожую тему; если нет — ограничивает обучение на последний вопрос\nasync function answer(message: string): Promise<{ reply: string; known: boolean }> {\n const q = tokenize(message);\n\n const rows = await sqlite.execute(\"SELECT id, topic, answer, hit_count FROM knowledge\");\n const all = rows.rows as { id: number; topic: string; answer: string; hit_count: number }[];\n\n let best: { score: number; row?: (typeof all)[number] } = { score: 0 };\n for (const row of all) {\n const s = jaccard(q, tokenize(row.topic));\n if (s > best.score) best = { score: s, row };\n }\n\n if (best.row && best.score >= 0.45) {\n await sqlite.execute({ sql: \"UPDATE knowledge SET hit_count = hit_count + 1 WHERE id = ?\", args: [best.row.id] });\n return { reply: best.row.answer, known: true };\n }\n\n // Не знаем → запоминаем вопрос, чтобы потом научить\n await sqlite.execute({\n sql: \"INSERT INTO knowledge (topic, answer) VALUES (?, '')\",\n args: [message],\n });\n return {\n reply:\n \"Хм, этого я ещё не знаю 🤔 Научи меня — пришли ответ в формате:\\n\\n`/учить <твой ответ>`\\n\\nЯ запомню и в следующий раз отвечу сам.\",\n known: false,\n };\n}\n\n// Привязывает ответ к последнему неизвестному вопросу\nasync function learnLastUnknown(session: string, answerText: string): Promise {\n const res = await sqlite.execute(\n \"SELECT id FROM knowledge WHERE answer = '' ORDER BY id DESC LIMIT 1\",\n );\n const rows = res.rows as { id: number }[];\n if (!rows[0]) {\n await sqlite.execute({ sql: \"INSERT INTO knowledge (topic, answer) VALUES (?, ?)\", args: [\"(без вопроса)\", answerText] });\n return;\n }\n await sqlite.execute({ sql: \"UPDATE knowledge SET answer = ? WHERE id = ?\", args: [answerText, rows[0].id] });\n}\n\n// ── Интерфейс Codey ───────────────────────────────────────────────────\nconst HTML = `\n\n\n \n \n Codey — самообучающийся ИИ\n \n\n\n

\n 🧠\n

Codey

\n \n

самообучающийся ИИ — чем больше учишь, тем умнее

\n \n \n

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Diff · v11