{"repo": "cablate/banini-tracker", "files": {"src/web.ts": {"850297c2003a653023cc36aeb5b63683e49e7c5b": {"t": 1785674595.7844791, "n": 31004, "h": "df73295528fb1b92", "c": "/**\n * Web config panel: Hono server with auth + config CRUD.\n * Single HTML page, no build step.\n */\nimport { Hono } from 'hono';\nimport type { MiddlewareHandler } from 'hono';\nimport { streamSSE } from 'hono/streaming';\nimport { serve } from '@hono/node-server';\nimport { getCookie, setCookie, deleteCookie } from 'hono/cookie';\nimport { isInitialized, setupAdmin, login, logout, validateSession } from './auth.js';\nimport { getAllConfig, setConfigs, getConfigKeys, getConfig, type ConfigKey } from './config-store.js';\nimport { fetchFacebookPosts } from './facebook.js';\nimport { getRecentRuns, getRecentNotifications } from './run-logger.js';\nimport { analyzePosts, DEFAULT_SYSTEM_PROMPT } from './analyze.js';\nimport { createNotifiers, type ReportData, type PostSummary } from './notifiers/index.js';\n\nconst app = new Hono();\n\nconst isProduction = process.env.NODE_ENV === 'production';\n\n// -- Auth middleware --\nconst requireAuth: MiddlewareHandler = async (c, next) => {\n const token = getCookie(c, 'session');\n if (!token || !validateSession(token)) {\n return c.json({ error: 'unauthorized' }, 401);\n }\n await next();\n};\n\n// -- API routes --\n\napp.get('/api/status', (c) => {\n return c.json({ initialized: isInitialized() });\n});\n\napp.post('/api/setup', async (c) => {\n if (isInitialized()) return c.json({ error: 'already initialized' }, 400);\n const { username, password } = await c.req.json();\n try {\n setupAdmin(username, password);\n const token = login(username, password);\n if (token) setCookie(c, 'session', token, { httpOnly: true, sameSite: 'Lax', secure: isProduction, maxAge: 86400, path: '/' });\n return c.json({ ok: true });\n } catch (err: any) {\n return c.json({ error: err.message }, 400);\n }\n});\n\napp.post('/api/login', async (c) => {\n const { username, password } = await c.req.json();\n const token = login(username, password);\n if (!token) return c.json({ error: 'invalid credentials' }, 401);\n setCookie(c, 'session', token, { httpOnly: true, sameSite: 'Lax', secure: isProduction, maxAge: 86400, path: '/' });\n return c.json({ ok: true });\n});\n\napp.post('/api/logout', (c) => {\n const token = getCookie(c, 'session');\n if (token) logout(token);\n deleteCookie(c, 'session', { path: '/' });\n return c.json({ ok: true });\n});\n\napp.get('/api/config', requireAuth, (c) => {\n const config = getAllConfig();\n const masked: Record = {};\n for (const [key, value] of Object.entries(config)) {\n if (value && (key.includes('TOKEN') || key.includes('KEY') || key.includes('SECRET'))) {\n masked[key] = value.slice(0, 6) + '***';\n } else {\n masked[key] = value;\n }\n }\n // SYSTEM_PROMPT 空值時回傳預設值，讓前端直接看到\n if (!masked['SYSTEM_PROMPT']) {\n masked['SYSTEM_PROMPT'] = DEFAULT_SYSTEM_PROMPT;\n }\n return c.json({ config: masked, keys: getConfigKeys() });\n});\n\napp.put('/api/config', requireAuth, async (c) => {\n const body = await c.req.json();\n if (typeof body !== 'object' || body === null || Array.isArray(body)) {\n return c.json({ error: 'invalid payload' }, 400);\n }\n const entries: Partial> = {};\n for (const [key, value] of Object.entries(body)) {\n if (typeof value !== 'string') {\n return c.json({ error: `invalid value for ${key}: expected string` }, 400);\n }\n entries[key as ConfigKey] = value;\n }\n setConfigs(entries);\n return c.json({ ok: true });\n});\n\napp.get('/api/runs', requireAuth, (c) => {\n const runs = getRecentRuns(50);\n return c.json({ runs });\n});\n\napp.get('/api/notifications', requireAuth, (c) => {\n const notifications = getRecentNotifications(100);\n return c.json({ notifications });\n});\n\napp.get('/api/default-prompt', requireAuth, (c) => {\n return c.json({ prompt: DEFAULT_SYSTEM_PROMPT });\n});\n\n// Test pipeline (SSE streaming)\napp.get('/api/test', requireAuth, (c) => {\n const FB_PAGE_URL = 'https://www.facebook.com/DieWithoutBang/';\n\n return streamSSE(c, async (stream) => {\n const send = async (step: string, status: 'ok' | 'fail' | 'info', detail: string) => {\n await stream.writeSSE({ data: JSON.stringify({ step, status, detail }) });\n };\n\n const apifyToken = getConfig('APIFY_TOKEN');\n const llmApiKey = getConfig('LLM_API_KEY');\n if (!apifyToken) { await send('config', 'fail', 'APIFY_TOKEN 未設定'); return; }\n if (!llmApiKey) { await send('config', 'fail', 'LLM_API_KEY 未設定'); return; }\n await send('config', 'ok', '設定檢查通過');\n\n let post: any;\n try {\n await send('fetch', 'info', '正在抓取貼文...');\n const posts = await fetchFacebookPosts(FB_PAGE_URL, apifyToken, 1);\n if (posts.length === 0) { await send('fetch', 'fail', '沒有抓到貼文'); return; }\n post = posts[0];\n const preview = (post.text || '（純圖片）').slice(0, 80);\n await send('fetch', 'ok', preview);\n } catch (err: any) {\n await send('fetch', 'fail', err.message); return;\n }\n\n let analysis: any;\n try {\n await send('analyze', 'info', '正在進行 AI 分析...');\n const localTime = new Date(post.timestamp).toLocaleString('zh-TW', { timeZone: 'Asia/Taipei' });\n let content = `[Facebook] ${post.text}`;\n if (post.ocrText) content += `\\n[圖片 OCR] ${post.ocrText}`;\n if (post.captionText) content += `\\n[影片轉錄] ${post.captionText}`;\n analysis = await analyzePosts(\n [{ text: content, timestamp: localTime, isToday: true }],\n {\n baseUrl: getConfig('LLM_BASE_URL') || 'https://api.deepinfra.com/v1/openai',\n apiKey: llmApiKey,\n model: getConfig('LLM_MODEL') || 'MiniMaxAI/MiniMax-M2.5',\n },\n );\n await send('analyze', 'ok', analysis.summary || '分析完成');\n } catch (err: any) {\n await send('analyze', 'fail', err.message); return;\n }\n\n const notifiers = createNotifiers();\n if (notifiers.length === 0) {\n await send('notify', 'fail', '未設定任何通知管道（Telegram / Discord / LINE）');\n return;\n }\n await send('notify', 'info', `正在推送至 ${notifiers.map(n => n.name).join(', ')}...`);\n const postSummary: PostSummary = {\n source: 'facebook',\n timestamp: new Date(post.timestamp).toLocaleString('zh-TW', { timeZone: 'Asia/Taipei' }),\n isToday: true,\n text: (post.text || '').slice(0, 60),\n url: post.url,\n };\n const reportData: ReportData = {\n analysis, postCount: { fb: 1 }, posts: [postSummary], isFallback: false,\n };\n const results = await Promise.allSettled(notifiers.map((n) => n.send(reportData)));\n const sent: string[] = [];\n const failed: string[] = [];\n for (let i = 0; i < results.length; i++) {\n if (results[i].status === 'fulfilled') {\n sent.push(notifiers[i].name);\n } else {\n const reason = (results[i] as PromiseRejectedResult).reason;\n failed.push(`${notifiers[i].name}: ${reason instanceof Error ? reason.message : reason}`);\n }\n }\n if (failed.length > 0) {\n await send('notify', 'fail', `失敗：${failed.join('; ')}`);\n } else {\n await send('notify', 'ok', `已送出：${sent.join(', ')}`);\n }\n await send('done', 'ok', '測試完成');\n });\n});\n\n// -- Frontend --\napp.get('/', (c) => {\n return c.html(FRONTEND_HTML);\n});\n\n// -- Start server --\nconst WEB_PORT = parseInt(process.env.WEB_PORT || '3000', 10);\n\nexport function startWebServer(): void {\n serve({ fetch: app.fetch, port: WEB_PORT }, () => {\n console.log(`[Web] 設定頁面已啟動: http://localhost:${WEB_PORT}`);\n });\n}\n\n// -- Inline frontend --\nconst FRONTEND_HTML = /* html */ `\n\n\n\n\nbanini-tracker\n\n\n\n\n\n\n\n\n
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banini-tracker config

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Base URL 預設 DeepInfra / Model 預設 MiniMax-M2.5

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自訂 LLM 分析提示詞。留空時使用內建預設值。

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