(?:<!\\[CDATA\\[)?(.*?)(?:\\]\\]>)?<\\/title>/i;\n const descRegex =\n /<description>(?:<!\\[CDATA\\[)?([\\s\\S]*?)(?:\\]\\]>)?<\\/description>/i;\n\n const items = text.match(itemRegex) || [];\n const news = [];\n\n for (let i = 0; i < Math.min(items.length, 5); i++) {\n const item = items[i];\n const titleMatch = item.match(titleRegex);\n const descMatch = item.match(descRegex);\n\n if (titleMatch) {\n const title = cleanText(titleMatch[1]);\n const description = descMatch\n ? cleanText(descMatch[1]).substring(0, 200)\n : \"\";\n\n news.push({\n title: title,\n description: description,\n });\n }\n }\n\n return news;\n}\n\n// Google News RSS 解析\nasync function fetchGoogleNewsRSS() {\n const url = \"https://news.google.com/rss?hl=zh-TW&gl=TW&ceid=TW:zh-Hant\";\n const response = await fetch(url);\n const text = await response.text();\n\n // Google News 使用標準 RSS 格式\n const itemRegex = /<item>([\\s\\S]*?)<\\/item>/gi;\n const titleRegex = /<title>(.*?)<\\/title>/i;\n const descRegex = /<description>([\\s\\S]*?)<\\/description>/i;\n\n const items = text.match(itemRegex) || [];\n const news = [];\n\n for (let i = 0; i < Math.min(items.length, 5); i++) {\n const item = items[i];\n const titleMatch = item.match(titleRegex);\n const descMatch = item.match(descRegex);\n\n if (titleMatch) {\n const title = cleanText(titleMatch[1]);\n const description = descMatch\n ? cleanText(descMatch[1]).substring(0, 200)\n : \"\";\n\n news.push({\n title: title,\n description: description,\n });\n }\n }\n\n return news;\n}\n\n// Yahoo 新聞備用方案\nasync function fetchYahooNews() {\n // 使用 Yahoo 新聞的 RSS\n const url = \"https://tw.news.yahoo.com/rss\";\n return await fetchRSSWithRegex(url);\n}\n\n// 備用新聞來源（直接使用預設新聞範例）\nasync function fetchBackupNews() {\n // 如果所有 RSS 都失敗，使用預設範例新聞\n const backupNews = `\n1. 台積電宣布新廠投資計畫，預計帶動半導體供應鏈\n 台積電今日宣布將在台灣中部投資新建先進製程晶圓廠\n\n2. 中央氣象局發布豪雨特報，多縣市需注意防範\n 受鋒面影響，北部及中部地區將有局部大雨或豪雨\n\n3. 房市交易量創新高，首購族需求強勁\n 內政部統計顯示，今年房市交易量較去年同期成長15%\n\n4. 電動車銷售成長，充電站建設加速\n 交通部宣布將在全國增設1000座電動車充電站\n\n5. 疫苗接種率提升，防疫物資需求趨緩\n 衛福部表示新一波疫苗接種計畫順利進行中\n\n6. 國際油價上漲，國內油價本週調漲\n 中油宣布汽、柴油價格每公升各調漲0.3元\n\n7. 科技業年終獎金看好，人才需求持續\n 人力銀行調查顯示，科技業平均年終獎金上看3個月\n\n8. 觀光業復甦，國旅訂房率攀升\n 交通部觀光局統計，國內主要觀光景點遊客數量明顯回升\n\n9. 農產品外銷創佳績，冷鏈物流需求增\n 農委會表示，台灣水果外銷量較去年同期成長20%\n\n10. 5G應用擴大，相關設備採購增加\n NCC表示，5G用戶數已突破800萬，普及率持續提升`;\n\n return backupNews;\n}\n\n// 清理文字（移除 HTML 標籤、CDATA 等）\nfunction cleanText(text) {\n return text\n .replace(/<!\\[CDATA\\[|\\]\\]>/g, \"\")\n .replace(/<[^>]*>/g, \"\")\n .replace(/ /g, \" \")\n .replace(/&/g, \"&\")\n .replace(/</g, \"<\")\n .replace(/>/g, \">\")\n .replace(/"/g, '\"')\n .replace(/'/g, \"'\")\n .replace(/\\s+/g, \" \")\n .trim();\n}\n\n// 去重複新聞\nfunction removeDuplicates(news) {\n const seen = new Set();\n return news.filter((item) => {\n // 使用標題前30個字作為判斷重複的依據\n const key = item.title.substring(0, 30).replace(/\\s/g, \"\");\n if (seen.has(key)) {\n return false;\n }\n seen.add(key);\n return true;\n });\n}\n\n// 使用 OpenRouter AI 分析新聞\nasync function analyzeNewsWithAI(newsContent, apiKey) {\n const prompt = `這是今日台灣的熱門新聞：\n\n${newsContent}\n\n請你推理出這些新聞內容可能引發的後續購買商品需求。請進行 2-3 層的因果關係推理。\n\n範例：\n- 如果颱風來了 → 第一層：沙包、手電筒、泡麵需求增加 → 第二層：電池、瓦斯罐需求增加 → 第三層：行動電源、乾糧類食品需求增加\n\n請針對每則重要新聞，分析其可能帶動的商品需求鏈，並說明推理邏輯。最後總結出最可能熱銷的 TOP 10 商品。\n\n輸出格式：\n1. 針對主要新聞的商品需求推理（選3-5則最重要的）\n2. 綜合分析：整體趨勢對市場的影響\n3. TOP 10 潛在熱銷商品清單（附簡短理由）`;\n\n const response = await fetch(\n \"https://openrouter.ai/api/v1/chat/completions\",\n {\n method: \"POST\",\n headers: {\n \"Authorization\": `Bearer ${apiKey}`,\n \"Content-Type\": \"application/json\",\n \"HTTP-Referer\": \"https://www.val.town\",\n \"X-Title\": \"News Analyzer Bot\",\n },\n body: JSON.stringify({\n model: \"anthropic/claude-3.5-sonnet\",\n messages: [\n {\n role: \"user\",\n content: prompt,\n },\n ],\n temperature: 0.7,\n max_tokens: 2000,\n }),\n },\n );\n\n const data = await response.json();\n\n if (!data.choices || !data.choices[0]) {\n // 如果 API 失敗，提供錯誤訊息\n const errorMsg = data.error?.message || \"AI 分析失敗\";\n throw new Error(`OpenRouter API 錯誤: ${errorMsg}`);\n }\n\n return data.choices[0].message.content;\n}\n\n// 發送到 Telegram\nasync function sendToTelegram(message, botToken, chatId) {\n // 加入時間戳記\n const timestamp = new Date().toLocaleString(\"zh-TW\", {\n timeZone: \"Asia/Taipei\",\n });\n const header = `📰 *今日新聞商品需求分析報告*\\n📅 ${timestamp}\\n${\n \"─\".repeat(30)\n }\\n\\n`;\n\n // 分割長訊息（Telegram 限制 4096 字元）\n const fullMessage = header + message;\n const maxLength = 4000;\n const messages = [];\n\n if (fullMessage.length <= maxLength) {\n messages.push(fullMessage);\n } else {\n let currentMessage = header;\n const lines = message.split(\"\\n\");\n\n for (const line of lines) {\n if ((currentMessage + line + \"\\n\").length > maxLength) {\n messages.push(currentMessage);\n currentMessage = \"（續）\\n\" + line + \"\\n\";\n } else {\n currentMessage += line + \"\\n\";\n }\n }\n if (currentMessage && currentMessage !== \"（續）\\n\") {\n messages.push(currentMessage);\n }\n }\n\n // 發送訊息\n for (let i = 0; i < messages.length; i++) {\n const url = `https://api.telegram.org/bot${botToken}/sendMessage`;\n const response = await fetch(url, {\n method: \"POST\",\n headers: {\n \"Content-Type\": \"application/json\",\n },\n body: JSON.stringify({\n chat_id: chatId,\n text: messages[i],\n parse_mode: \"Markdown\",\n disable_web_page_preview: true,\n }),\n });\n\n const result = await response.json();\n if (!result.ok) {\n throw new Error(`Telegram 發送失敗: ${result.description}`);\n }\n\n // 避免發送過快\n if (i < messages.length - 1) {\n await new Promise((resolve) => setTimeout(resolve, 1000));\n }\n }\n}\n\n// 測試函數\nexport async function testNewsFetch() {\n try {\n const news = await fetchTaiwanNews();\n console.log(\"成功取得新聞：\");\n console.log(news);\n return { success: true, news: news };\n } catch (error) {\n console.error(\"測試失敗:\", error);\n return { success: false, error: error.message };\n }\n}\n\n// 測試 AI 分析（使用預設新聞）\nexport async function testAIAnalysis() {\n const OPENROUTER_KEY = Deno.env.get(\"OPENROUTER_KEY\");\n\n const testNews = `\n1. 台積電宣布新廠投資計畫\n2. 中央氣象局發布豪雨特報\n3. 房市交易量創新高`;\n\n try {\n const analysis = await analyzeNewsWithAI(testNews, OPENROUTER_KEY);\n console.log(\"AI 分析結果：\");\n console.log(analysis);\n return { success: true, analysis: analysis };\n } catch (error) {\n console.error(\"AI 分析失敗:\", error);\n return { success: false, error: error.message };\n }\n}\n\n// 定時執行函數\nexport async function scheduledNewsAnalysis() {\n const result = await newsAnalyzer();\n console.log(\"定時任務執行結果:\", result);\n return result;\n}","deleted","label","children",[],[151],{"_103":172,"_95":99,"_152":173,"_154":-5,"_155":137,"_156":136,"_158":159,"_105":174,"_100":175,"_162":163,"_164":176,"_166":22,"_167":-5,"_168":177,"_98":178},"457957aa-78ca-11f0-a198-0224a6c84d84","1eb9ebc4-7821-11f0-a796-0224a6c84d84",["D",1755147059266],7,"import { fetch } from \"https://esm.town/v/std/fetch\";\nimport Parser from \"npm:rss-parser\";\n\nexport async function newsToProductDemand(req: Request): Promise<Response> {\n // 1. 取得 RSS Feed\n const parser = new Parser();\n const feed = await parser.parseURL(\"https://news.ltn.com.tw/rss/all.xml\");\n const newsItems = feed.items.slice(0, 10).map((item) => ({\n title: item.title,\n link: item.link,\n content: item.contentSnippet,\n }));\n\n // 2. 準備給 AI 的 Prompt (增加一條提醒，降低出錯機率)\n const newsContent = newsItems.map((item) =>\n `- ${item.title}: ${item.content}`\n ).join(\"\\n\");\n const prompt = `\n請你根據以下今日的熱門新聞，推理出可能引發的後續購買商品需求。請進行 2-3 層的因果關係推理。\n\n**推理範例：**\n- 如果新聞報導颱風即將來襲 → 第一層因果：民眾會預防性購買沙包、手電筒、泡麵 → 第二層因果：手電筒需要電池，煮泡麵需要瓦斯罐，因此電池和瓦斯罐需求增加 → 第三層因果：對停電的憂慮加深，會購買行動電源；對物資短缺的預期，會購買更多乾糧類食品。\n\n**今日新聞內容：**\n${newsContent}\n\n**你的任務：**\n請針對每則重要新聞，分析其可能帶動的商品需求鏈，並說明推理邏輯。最後總結出最可能熱銷的 TOP 10 商品。\n\n**請嚴格依照以下格式輸出，並確保所有 Markdown 語法 (如 *) 都是成對且正確閉合的：**\n1. **針對主要新聞的商品需求推理（選3-5則最重要的）**\n * **新聞一標題：** [新聞標題]\n * **推理鏈：** [第一層因果] → [第二層因果] → [第三層因果]\n * **說明：** [詳細說明你的推理邏輯]\n * ---\n * **新聞二標題：** [新聞標題]\n * **推理鏈：** [第一層因果] → [第二層因果] → [第三層因果]\n * **說明：** [詳細說明你的推理邏輯]\n\n2. **綜合分析：整體趨勢對市場的影響**\n * [根據今天所有新聞，分析市場可能出現的整體消費情緒或趨勢]\n\n3. **TOP 10 潛在熱銷商品清單**\n 1. **商品名稱：** [商品A] - **理由：** [簡短說明為什麼會熱銷]\n 2. **商品名稱：** [商品B] - **理由：** [簡短說明為什麼會熱銷]\n ...\n 10. **商品名稱：** [商品J] - **理由：** [簡短說明為什麼會熱銷]\n`;\n\n // 3. 呼叫 OpenRouter API\n const openRouterResponse = await fetch(\n \"https://openrouter.ai/api/v1/chat/completions\",\n {\n method: \"POST\",\n headers: {\n \"Authorization\": `Bearer ${Deno.env.get(\"OPENROUTER_API_KEY\")}`,\n \"Content-Type\": \"application/json\",\n },\n body: JSON.stringify({\n model: \"openrouter/auto\",\n messages: [{ role: \"user\", content: prompt }],\n }),\n },\n );\n\n if (!openRouterResponse.ok) {\n const errorText = await openRouterResponse.text();\n console.error(\"OpenRouter API Error:\", errorText);\n return new Response(\"Error calling OpenRouter API\", { status: 500 });\n }\n\n const openRouterData = await openRouterResponse.json();\n const aiResponse = openRouterData.choices[0].message.content;\n\n // 4. 發送 Telegram 訊息 (增加錯誤後援機制)\n const telegramBotToken = Deno.env.get(\"TELEGRAM_BOT_TOKEN\");\n const telegramChatId = Deno.env.get(\"TELEGRAM_CHAT_ID\");\n\n if (!telegramBotToken || !telegramChatId) {\n return new Response(\"Telegram bot token or chat ID is not set\", {\n status: 500,\n });\n }\n\n const telegramApiUrl =\n `https://api.telegram.org/bot${telegramBotToken}/sendMessage`;\n\n // 第一次嘗試：使用 Markdown 格式發送\n const primaryResponse = await fetch(telegramApiUrl, {\n method: \"POST\",\n headers: { \"Content-Type\": \"application/json\" },\n body: JSON.stringify({\n chat_id: telegramChatId,\n text: aiResponse,\n parse_mode: \"Markdown\",\n }),\n });\n\n // 如果第一次發送因為格式錯誤 (HTTP 400) 而失敗，則進行第二次嘗試\n if (primaryResponse.status === 400) {\n console.log(\"Markdown parsing failed. Falling back to plain text.\");\n\n // 第二次嘗試：使用純文字格式發送\n const fallbackResponse = await fetch(telegramApiUrl, {\n method: \"POST\",\n headers: { \"Content-Type\": \"application/json\" },\n body: JSON.stringify({\n chat_id: telegramChatId,\n text: aiResponse, // 內容相同，但不指定 parse_mode\n }),\n });\n\n if (!fallbackResponse.ok) {\n const errorText = await fallbackResponse.text();\n console.error(\"Telegram fallback API Error:\", errorText);\n return new Response(\"Error sending fallback Telegram message\", {\n status: 500,\n });\n }\n } else if (!primaryResponse.ok) {\n // 如果是其他非格式錯誤 (如 token 錯誤)，則直接回報\n const errorText = await primaryResponse.text();\n console.error(\"Telegram API Error:\", errorText);\n return new Response(\"Error sending Telegram message\", { status: 500 });\n }\n\n return new Response(\"Message sent successfully\");\n}",[],[99],"files",[149,171],"counts",{"_183":32,"_184":185,"_186":32,"_187":188},"pulls","branches",1,"forks","envVars",{"_189":190,"_191":32},"count",5,"emptyCount","contents",[],"file",{"_103":172,"_95":99,"_152":173,"_154":-5,"_155":137,"_156":136,"_158":159,"_105":196,"_100":175,"_162":163,"_164":176,"_166":22,"_167":-5,"_98":197},["D",1755147059266],[99],"upstreamProject","upstreamBranch","emptyEnvVars","isNew","flags",[],"routes/_app.x.$handle.$name.code.$",{"_93":94,"_95":96,"_97":43,"_100":-7,"_98":99,"_101":206,"_147":211,"_179":218,"_194":219,"_192":221,"_222":-5,"_223":22,"_224":-5,"_225":-5,"_226":-5,"_227":228},{"_103":104,"_95":96,"_105":207,"_107":-5,"_108":22,"_109":110,"_111":-5,"_112":-5,"_14":113,"_114":-5,"_115":22,"_116":-5,"_117":32,"_16":118,"_119":120,"_121":120,"_122":123,"_124":123,"_125":123,"_126":120,"_127":120,"_23":208,"_131":209,"_134":210,"_146":22},["D",1755072228518],{"_93":94,"_129":130},{"_93":94,"_133":130},{"_100":136,"_95":43,"_103":137,"_138":104,"_139":-5,"_140":-5,"_141":-5,"_142":-5,"_143":-5,"_144":96,"_145":94},[212,215],{"_103":150,"_95":151,"_152":153,"_154":-5,"_155":137,"_156":157,"_158":159,"_105":160,"_100":161,"_162":163,"_164":165,"_166":22,"_167":-5,"_168":213,"_98":214},[],[151],{"_103":172,"_95":99,"_152":173,"_154":-5,"_155":137,"_156":136,"_158":159,"_105":174,"_100":175,"_162":163,"_164":176,"_166":22,"_167":-5,"_168":216,"_98":217},[],[99],[212,215],{"_103":172,"_95":99,"_152":173,"_154":-5,"_155":137,"_156":136,"_158":159,"_105":196,"_100":175,"_162":163,"_164":176,"_166":22,"_167":-5,"_98":220},[99],[],"upstream","showCompareCallout","pull","ahead","behind","templates",[],"actionData","errors"] </article></body></html>

humehsia

ProductRecommendations