feat: 重构数据源配置并优化日报生成流程

重构数据源配置，合并多个新闻源为聚合源，简化配置参数
新增广告插入功能和日报页面直接生成功能
优化时区处理为东八区并改进摘要生成提示词
移除不必要的翻译功能并更新相关依赖项

src/ad.js

@@ -0,0 +1,19 @@
+export function insertAd() {
+    return `
+---
+
+## **AI产品自荐: [AIClient2API ↗️](https://github.com/justlovemaki/AIClient-2-API)**
+
+厌倦了在各种AI模型间来回切换，被烦人的API额度限制束缚手脚？现在，你有了一个终极解决方案！🎉 'AIClient-2-API' 不仅仅是一个普通的API代理，它是一个能将 Gemini CLI 和 Kiro 客户端等工具“点石成金”，变为强大 OpenAI 兼容 API 的魔法盒子。
+
+这个项目的核心魅力在于它的“逆向思维”和强大功能：
+
+✨ **客户端变API，解锁新姿势**：我们巧妙地利用 Gemini CLI 的 OAuth 登录，让你轻松**突破官方免费API的速率和额度限制**。更令人兴奋的是，通过封装 Kiro 客户端的接口，我们成功**破解其API，让你能免费丝滑地调用强大的 Claude 模型**！这为你提供了 **“使用免费Claude API加 Claude Code，开发编程的经济实用方案”**。
+
+🔧 **系统提示词，由你掌控**：想让AI更听话？我们提供了强大的系统提示词（System Prompt）管理功能。你可以轻松**提取、替换（'overwrite'）或追加（'append'）**任何请求中的系统提示词，在服务端精细地调整AI的行为，而无需修改客户端代码。
+
+💡 **顶级体验，平民成本**：想象一下，**在你的编辑器里用 Kilo 代码助手，加上 Cursor 的高效提示词，再配上任意顶级大模型——用 Cursor，又何必是 Cursor？** 本项目让你能以极低的成本，组合出媲美付费工具的开发体验。同时支持MCP协议和图片、文档等多模态输入，让你的创意不再受限。
+
+告别繁琐配置和昂贵账单，拥抱这个集免费、强大、灵活于一身的AI开发新范式吧！
+    `;
+}

src/chatapi.js

@@ -32,7 +32,7 @@ async function callGeminiChatAPI(env, promptText, systemPromptText = null) {
     }
 
     try {
-        const response = await fetchWithTimeout(url, {
+        const response = await fetch(url, {
             method: 'POST',
             headers: { 'Content-Type': 'application/json' },
             body: JSON.stringify(payload)
@@ -126,6 +126,10 @@ async function* callGeminiChatAPIStream(env, promptText, systemPromptText = null
         contents: [{
             parts: [{ text: promptText }]
         }],
+        generationConfig: {
+            temperature: 1,
+            topP: 0.95
+        }
     };
 
     if (systemPromptText && typeof systemPromptText === 'string' && systemPromptText.trim() !== '') {
@@ -137,7 +141,7 @@ async function* callGeminiChatAPIStream(env, promptText, systemPromptText = null
 
     let response;
     try {
-        response = await fetchWithTimeout(url, {
+        response = await fetch(url, {
             method: 'POST',
             headers: { 'Content-Type': 'application/json' },
             body: JSON.stringify(payload)
@@ -334,7 +338,7 @@ async function callOpenAIChatAPI(env, promptText, systemPromptText = null) {
     };
 
     try {
-        const response = await fetchWithTimeout(url, {
+        const response = await fetch(url, {
             method: 'POST',
             headers: {
                 'Content-Type': 'application/json',
@@ -413,7 +417,7 @@ async function* callOpenAIChatAPIStream(env, promptText, systemPromptText = null
 
     let response;
     try {
-        response = await fetchWithTimeout(url, {
+        response = await fetch(url, {
             method: 'POST',
             headers: {
                 'Content-Type': 'application/json',
@@ -574,7 +578,7 @@ export async function* callChatAPIStream(env, promptText, systemPromptText = nul
  * @param {number} timeout 超时时间，单位毫秒
  * @returns {Promise<Response>}
  */
-async function fetchWithTimeout(resource, options = {}, timeout = 60000) {
+async function fetchWithTimeout(resource, options = {}, timeout = 180000) {
   const controller = new AbortController();
   const id = setTimeout(() => controller.abort(), timeout);
 

src/dataFetchers.js

@@ -1,19 +1,16 @@
 // src/dataFetchers.js
-import AibaseDataSource from './dataSources/aibase.js';
+import NewsAggregatorDataSource from './dataSources/newsAggregator.js';
 import GithubTrendingDataSource from './dataSources/github-trending.js';
-import HuggingfacePapersDataSource from './dataSources/huggingface-papers.js';
-import XinZhiYuanDataSource from './dataSources/xinzhiyuan.js';
-import QBitDataSource from './dataSources/qbit.js';
-import JiqizhixinDataSource from './dataSources/jiqizhixin.js';
-import XiaohuDataSource from './dataSources/xiaohu.js';
+import PapersDataSource from './dataSources/papers.js';
 import TwitterDataSource from './dataSources/twitter.js';
 import RedditDataSource from './dataSources/reddit.js';
 
+
 // Register data sources as arrays to support multiple sources per type
 export const dataSources = {
-    news: { name: '新闻', sources: [AibaseDataSource, XiaohuDataSource, QBitDataSource, XinZhiYuanDataSource] },
+    news: { name: '新闻', sources: [NewsAggregatorDataSource] },
     project: { name: '项目', sources: [GithubTrendingDataSource] },
-    paper: { name: '论文', sources: [HuggingfacePapersDataSource, JiqizhixinDataSource] },
+    paper: { name: '论文', sources: [PapersDataSource] },
     socialMedia: { name: '社交平台', sources: [TwitterDataSource, RedditDataSource] },
     // Add new data sources here as arrays, e.g.,
     // newType: { name: '新类型', sources: [NewTypeDataSource1, NewTypeDataSource2] },

src/dataSources/newsAggregator.js

@@ -0,0 +1,135 @@
+import { getRandomUserAgent, sleep, isDateWithinLastDays, stripHtml, formatDateToChineseWithTime, escapeHtml } from '../helpers';
+
+const NewsAggregatorDataSource = {
+    type: 'news-aggregator',
+    async fetch(env, foloCookie) {
+        const listId = env.NEWS_AGGREGATOR_LIST_ID;
+        const fetchPages = parseInt(env.NEWS_AGGREGATOR_FETCH_PAGES || '1', 10);
+        const allNewsItems = [];
+        const filterDays = parseInt(env.FOLO_FILTER_DAYS || '3', 10);
+
+        if (!listId) {
+            console.warn('NEWS_AGGREGATOR_LIST_ID is not set in environment variables. Skipping news aggregator fetch.');
+            return {
+                version: "https://jsonfeed.org/version/1.1",
+                title: "Aggregated News",
+                home_page_url: "https://example.com/news",
+                description: "Aggregated news from various sources",
+                language: "zh-cn",
+                items: []
+            };
+        }
+
+        let publishedAfter = null;
+        for (let i = 0; i < fetchPages; i++) {
+            const userAgent = getRandomUserAgent();
+            const headers = {
+                'User-Agent': userAgent,
+                'Content-Type': 'application/json',
+                'accept': 'application/json',
+                'accept-language': 'zh-CN,zh;q=0.9',
+                'baggage': 'sentry-environment=stable,sentry-release=5251fa921ef6cbb6df0ac4271c41c2b4a0ce7c50,sentry-public_key=e5bccf7428aa4e881ed5cb713fdff181,sentry-trace_id=2da50ca5ad944cb794670097d876ada8,sentry-sampled=true,sentry-sample_rand=0.06211835167903246,sentry-sample_rate=1',
+                'origin': 'https://app.follow.is',
+                'priority': 'u=1, i',
+                'sec-ch-ua': '"Google Chrome";v="135", "Not-A.Brand";v="8", "Chromium";v="135"',
+                'sec-ch-ua-mobile': '?1',
+                'sec-ch-ua-platform': '"Android"',
+                'sec-fetch-dest': 'empty',
+                'sec-fetch-mode': 'cors',
+                'sec-fetch-site': 'same-site',
+                'x-app-name': 'Folo Web',
+                'x-app-version': '0.4.9',
+            };
+
+            if (foloCookie) {
+                headers['Cookie'] = foloCookie;
+            }
+
+            const body = {
+                listId: listId,
+                view: 1,
+                withContent: true,
+            };
+
+            if (publishedAfter) {
+                body.publishedAfter = publishedAfter;
+            }
+
+            try {
+                console.log(`Fetching News Aggregator data, page ${i + 1}...`);
+                const response = await fetch(env.FOLO_DATA_API, {
+                    method: 'POST',
+                    headers: headers,
+                    body: JSON.stringify(body),
+                });
+
+                if (!response.ok) {
+                    console.error(`Failed to fetch News Aggregator data, page ${i + 1}: ${response.statusText}`);
+                    break;
+                }
+                const data = await response.json();
+                if (data && data.data && data.data.length > 0) {
+                    const filteredItems = data.data.filter(entry => isDateWithinLastDays(entry.entries.publishedAt, filterDays));
+                    allNewsItems.push(...filteredItems.map(entry => ({
+                        id: entry.entries.id,
+                        url: entry.entries.url,
+                        title: entry.entries.title,
+                        content_html: entry.entries.content,
+                        date_published: entry.entries.publishedAt,
+                        authors: [{ name: entry.entries.author }],
+                        source: entry.entries.author ? `${entry.feeds.title} - ${entry.entries.author}` : entry.feeds.title,
+                    })));
+                    publishedAfter = data.data[data.data.length - 1].entries.publishedAt;
+                } else {
+                    console.log(`No more data for News Aggregator, page ${i + 1}.`);
+                    break;
+                }
+            } catch (error) {
+                console.error(`Error fetching News Aggregator data, page ${i + 1}:`, error);
+                break;
+            }
+
+            await sleep(Math.random() * 5000);
+        }
+
+        return {
+            version: "https://jsonfeed.org/version/1.1",
+            title: "Aggregated News",
+            home_page_url: "https://example.com/news",
+            description: "Aggregated news from various sources",
+            language: "zh-cn",
+            items: allNewsItems
+        };
+    },
+
+    transform(rawData, sourceType) {
+        if (!rawData || !rawData.items) {
+            return [];
+        }
+
+        return rawData.items.map(item => ({
+            id: item.id,
+            type: sourceType,
+            url: item.url,
+            title: item.title,
+            description: stripHtml(item.content_html || ""),
+            published_date: item.date_published,
+            authors: item.authors ? item.authors.map(author => author.name).join(', ') : 'Unknown',
+            source: item.source || 'Aggregated News',
+            details: {
+                content_html: item.content_html || ""
+            }
+        }));
+    },
+
+    generateHtml: (item) => {
+        return `
+            <strong>${escapeHtml(item.title)}</strong><br>
+            <small>来源: ${escapeHtml(item.source || '未知')} | 发布日期: ${formatDateToChineseWithTime(item.published_date)}</small>
+            <div class="content-html">${item.details.content_html || '无内容。'}</div>
+            <a href="${escapeHtml(item.url)}" target="_blank" rel="noopener noreferrer">阅读更多</a>
+        `;
+    }
+};
+
+export default NewsAggregatorDataSource;

src/dataSources/papers.js

@@ -0,0 +1,137 @@
+import { getRandomUserAgent, sleep, isDateWithinLastDays, stripHtml, formatDateToChineseWithTime, escapeHtml } from '../helpers';
+
+const PapersDataSource = {
+    type: 'papers',
+    async fetch(env, foloCookie) {
+        const hgPapersListId = env.HGPAPERS_LIST_ID;
+        const fetchPages = parseInt(env.HGPAPERS_FETCH_PAGES || '1', 10);
+        const allPaperItems = [];
+        const filterDays = parseInt(env.FOLO_FILTER_DAYS || '3', 10);
+
+        if (!hgPapersListId) {
+            console.warn('HGPAPERS_LIST_ID is not set in environment variables. Skipping papers fetch.');
+            return {
+                version: "https://jsonfeed.org/version/1.1",
+                title: "Aggregated Papers",
+                home_page_url: "https://example.com/papers",
+                description: "Aggregated papers from various sources",
+                language: "zh-cn",
+                items: []
+            };
+        }
+
+        let publishedAfter = null;
+        for (let i = 0; i < fetchPages; i++) {
+            const userAgent = getRandomUserAgent();
+            const headers = {
+                'User-Agent': userAgent,
+                'Content-Type': 'application/json',
+                'accept': 'application/json',
+                'accept-language': 'zh-CN,zh;q=0.9',
+                'baggage': 'sentry-environment=stable,sentry-release=5251fa921ef6cbb6df0ac4271c41c2b4a0ce7c50,sentry-public_key=e5bccf7428aa4e881ed5cb713fdff181,sentry-trace_id=2da50ca5ad944cb794670097d876ada8,sentry-sampled=true,sentry-sample_rand=0.06211835167903246,sentry-sample_rate=1',
+                'origin': 'https://app.follow.is',
+                'priority': 'u=1, i',
+                'sec-ch-ua': '"Google Chrome";v="135", "Not-A.Brand";v="8", "Chromium";v="135"',
+                'sec-ch-ua-mobile': '?1',
+                'sec-ch-ua-platform': '"Android"',
+                'sec-fetch-dest': 'empty',
+                'sec-fetch-mode': 'cors',
+                'sec-fetch-site': 'same-site',
+                'x-app-name': 'Folo Web',
+                'x-app-version': '0.4.9',
+            };
+
+            if (foloCookie) {
+                headers['Cookie'] = foloCookie;
+            }
+
+            const body = {
+                listId: hgPapersListId,
+                view: 1,
+                withContent: true,
+            };
+
+            if (publishedAfter) {
+                body.publishedAfter = publishedAfter;
+            }
+
+            try {
+                console.log(`Fetching Papers data, page ${i + 1}...`);
+                const response = await fetch(env.FOLO_DATA_API, {
+                    method: 'POST',
+                    headers: headers,
+                    body: JSON.stringify(body),
+                });
+
+                if (!response.ok) {
+                    console.error(`Failed to fetch Papers data, page ${i + 1}: ${response.statusText}`);
+                    break;
+                }
+                const data = await response.json();
+                if (data && data.data && data.data.length > 0) {
+                    const filteredItems = data.data.filter(entry => isDateWithinLastDays(entry.entries.publishedAt, filterDays));
+                    allPaperItems.push(...filteredItems.map(entry => ({
+                        id: entry.entries.id,
+                        url: entry.entries.url,
+                        title: entry.entries.title,
+                        content_html: entry.entries.content,
+                        date_published: entry.entries.publishedAt,
+                        authors: [{ name: entry.entries.author }],
+                        source: entry.feeds.title,
+                    })));
+                    publishedAfter = data.data[data.data.length - 1].entries.publishedAt;
+                } else {
+                    console.log(`No more data for Papers, page ${i + 1}.`);
+                    break;
+                }
+            } catch (error) {
+                console.error(`Error fetching Papers data, page ${i + 1}:`, error);
+                break;
+            }
+
+            await sleep(Math.random() * 5000);
+        }
+
+        return {
+            version: "https://jsonfeed.org/version/1.1",
+            title: "Aggregated Papers",
+            home_page_url: "https://example.com/papers",
+            description: "Aggregated papers from various sources",
+            language: "zh-cn",
+            items: allPaperItems
+        };
+    },
+
+    transform(rawData, sourceType) {
+        if (!rawData || !rawData.items) {
+            return [];
+        }
+
+        return rawData.items.map(item => ({
+            id: item.id,
+            type: sourceType,
+            url: item.url,
+            title: item.title,
+            description: stripHtml(item.content_html || ""),
+            published_date: item.date_published,
+            authors: item.authors ? item.authors.map(author => author.name).join(', ') : 'Unknown',
+            source: item.source || 'Aggregated Papers',
+            details: {
+                content_html: item.content_html || ""
+            }
+        }));
+    },
+
+    generateHtml: (item) => {
+        return `
+            <strong>${escapeHtml(item.title)}</strong><br>
+            <small>来源: ${escapeHtml(item.source || '未知')} | 发布日期: ${formatDateToChineseWithTime(item.published_date)}</small>
+            <div class="content-html">
+                 ${item.details.content_html || '无内容。'}<hr>
+            </div>
+            <a href="${escapeHtml(item.url)}" target="_blank" rel="noopener noreferrer">在 ArXiv/来源 阅读</a>
+        `;
+    }
+};
+
+export default PapersDataSource;

src/dataSources/reddit.js

@@ -1,6 +1,4 @@
 import { getRandomUserAgent, sleep, isDateWithinLastDays, stripHtml, formatDateToChineseWithTime, escapeHtml} from '../helpers';
-import { callChatAPI } from '../chatapi.js';
-import { removeMarkdownCodeBlock } from '../helpers.js';
 
 const RedditDataSource = {
     async fetch(env, foloCookie) {
@@ -107,61 +105,11 @@ const RedditDataSource = {
             return redditData;
         }
 
-        if (!env.OPEN_TRANSLATE === "true") {
-            console.warn("Skipping reddit translations.");
-            redditData.items = redditData.items.map(item => ({
-                ...item,
-                title_zh: item.title || ""
-            }));
-            return redditData;
-        }
-
-        const itemsToTranslate = redditData.items.map((item, index) => ({
-            id: index,
-            original_title: item.title || ""
+        redditData.items = redditData.items.map(item => ({
+            ...item,
+            title_zh: item.title || ""
         }));
 
-        const hasContentToTranslate = itemsToTranslate.some(item => item.original_title.trim() !== "");
-        if (!hasContentToTranslate) {
-            console.log("No non-empty reddit titles to translate for today's posts.");
-            redditData.items = redditData.items.map(item => ({ ...item, title_zh: item.title || "" }));
-            return redditData;
-        }
-
-        const promptText = `You will be given a JSON array of reddit data objects. Each object has an "id" and "original_title".
-Translate "original_title" into Chinese.
-Return a JSON array of objects. Each output object MUST have:
-- "id": The same id from the input.
-- "title_zh": Chinese translation of "original_title". Empty if original is empty.
-Input: ${JSON.stringify(itemsToTranslate)}
-Respond ONLY with the JSON array.`;
-
-        let translatedItemsMap = new Map();
-        try {
-            console.log(`Requesting translation for ${itemsToTranslate.length} reddit titles for today.`);
-            const chatResponse = await callChatAPI(env, promptText);
-            const parsedTranslations = JSON.parse(removeMarkdownCodeBlock(chatResponse));
-
-            if (parsedTranslations) {
-                parsedTranslations.forEach(translatedItem => {
-                    if (translatedItem && typeof translatedItem.id === 'number' &&
-                        typeof translatedItem.title_zh === 'string') {
-                        translatedItemsMap.set(translatedItem.id, translatedItem);
-                    }
-                });
-            }
-        } catch (translationError) {
-            console.error("Failed to translate reddit titles in batch:", translationError.message);
-        }
-
-        redditData.items = redditData.items.map((originalItem, index) => {
-            const translatedData = translatedItemsMap.get(index);
-            return {
-                ...originalItem,
-                title_zh: translatedData ? translatedData.title_zh : (originalItem.title || "")
-            };
-        });
-
         return redditData;
     },
 
@@ -174,7 +122,7 @@ Respond ONLY with the JSON array.`;
             id: item.id,
             type: sourceType,
             url: item.url,
-            title: item.title_zh || item.title, // Use translated title if available
+            title: item.title,
             description: stripHtml(item.content_html || ""),
             published_date: item.date_published,
             authors: item.authors ? item.authors.map(author => author.name).join(', ') : 'Unknown',

src/foot.js

@@ -3,7 +3,7 @@ export function insertFoot() {
 
 ---
 
-## **收听语音版AI日报**
+## **AI资讯日报语音版**
 
 | 🎙️ **小宇宙** | 📹 **抖音** |
 | --- | --- |

src/handlers/commitToGitHub.js

@@ -1,5 +1,5 @@
 // src/handlers/commitToGitHub.js
-import { getISODate, formatMarkdownText, replaceImageProxy,formatDateToGMT12WithTime } from '../helpers.js';
+import { getISODate, formatMarkdownText } from '../helpers.js';
 import { getGitHubFileSha, createOrUpdateGitHubFile } from '../github.js';
 import { storeInKV } from '../kv.js';
 import { marked } from '../marked.esm.js';
@@ -13,23 +13,12 @@ export async function handleCommitToGitHub(request, env) {
         const dateStr = formData.get('date') || getISODate();
         const dailyMd = formData.get('daily_summary_markdown');
         const podcastMd = formData.get('podcast_script_markdown');
-        // 从 "YYYY-MM-DD" 格式的 dateStr 中提取 "YYYY-MM"
-        const yearMonth = dateStr.substring(0, 7);
-        const report = {
-                report_date: dateStr,
-                title: dateStr+'日刊',
-                link:  '/'+yearMonth+'/'+dateStr+'/',
-                content_html: null,
-                // 可以添加其他相關欄位，例如作者、來源等
-                published_date: formatDateToGMT12WithTime(new Date()) // 記錄保存時間
-        }
+
 
         const filesToCommit = [];
 
         if (dailyMd) {
             filesToCommit.push({ path: `daily/${dateStr}.md`, content: formatMarkdownText(dailyMd), description: "Daily Summary File" });
-            report.content_html = marked.parse(formatMarkdownText(env.IMG_PROXY, dailyMd));
-            storeInKV(env.DATA_KV, `${dateStr}-report`, report);
         }
         if (podcastMd) {
             filesToCommit.push({ path: `podcast/${dateStr}.md`, content: podcastMd, description: "Podcast Script File" });

src/handlers/genAIContent.js

@@ -4,12 +4,14 @@ import { getFromKV } from '../kv.js';
 import { callChatAPIStream } from '../chatapi.js';
 import { generateGenAiPageHtml } from '../htmlGenerators.js';
 import { dataSources } from '../dataFetchers.js'; // Import dataSources
-import { getSystemPromptSummarizationStepOne } from "../prompt/summarizationPromptStepOne";
+import { getSystemPromptSummarizationStepOne } from "../prompt/summarizationPromptStepZero";
 import { getSystemPromptSummarizationStepTwo } from "../prompt/summarizationPromptStepTwo";
 import { getSystemPromptSummarizationStepThree } from "../prompt/summarizationPromptStepThree";
 import { getSystemPromptPodcastFormatting, getSystemPromptShortPodcastFormatting } from '../prompt/podcastFormattingPrompt.js';
 import { getSystemPromptDailyAnalysis } from '../prompt/dailyAnalysisPrompt.js'; // Import new prompt
 import { insertFoot } from '../foot.js';
+import { insertAd } from '../ad.js';
+import { getDailyReportContent } from '../github.js'; // 导入 getDailyReportContent
 
 export async function handleGenAIPodcastScript(request, env) {
     let dateStr;
@@ -26,7 +28,25 @@ export async function handleGenAIPodcastScript(request, env) {
         formData = await request.formData();
         dateStr = formData.get('date');
         selectedItemsParams = formData.getAll('selectedItems');
-        outputOfCall1 = formData.get('summarizedContent'); // Get summarized content from form data
+        const readGithub = formData.get('readGithub') === 'true';
+
+        if (readGithub) {
+            const filePath = `daily/${dateStr}.md`;
+            console.log(`从 GitHub 读取文件: ${filePath}`);
+            try {
+                outputOfCall1 = await getDailyReportContent(env, filePath);
+                if (!outputOfCall1) {
+                    throw new Error(`从 GitHub 读取文件 ${filePath} 失败或内容为空。`);
+                }
+                console.log(`成功从 GitHub 读取文件，内容长度: ${outputOfCall1.length}`);
+            } catch (error) {
+                console.error(`读取 GitHub 文件出错: ${error}`);
+                const errorHtml = generateGenAiPageHtml(env, '生成AI播客脚本出错', `<p><strong>从 GitHub 读取文件失败:</strong> ${escapeHtml(error.message)}</p>${error.stack ? `<pre>${escapeHtml(error.stack)}</pre>` : ''}`, dateStr, true, null, null, null, null, null, null, outputOfCall1, null);
+                return new Response(errorHtml, { status: 500, headers: { 'Content-Type': 'text/html; charset=utf-8' } });
+            }
+        } else {
+            outputOfCall1 = formData.get('summarizedContent'); // Get summarized content from form data
+        }
 
         if (!outputOfCall1) {
             const errorHtml = generateGenAiPageHtml(env, '生成AI播客脚本出错', '<p><strong>Summarized content is missing.</strong> Please go back and generate AI content first.</p>', dateStr, true, null, null, null, null, null, null, outputOfCall1, null);
@@ -156,7 +176,7 @@ export async function handleGenAIContent(request, env) {
                 // Add new data sources
                 switch (item.type) {
                     case 'news':
-                        itemText = `News Title: ${item.title}\nPublished: ${item.published_date}\nContent Summary: ${stripHtml(item.details.content_html)}`;
+                        itemText = `News Title: ${item.title}\nPublished: ${item.published_date}\nUrl: ${item.url}\nContent Summary: ${stripHtml(item.details.content_html)}`;
                         break;
                     case 'project':
                         itemText = `Project Name: ${item.title}\nPublished: ${item.published_date}\nUrl: ${item.url}\nDescription: ${item.description}\nStars: ${item.details.totalStars}`;
@@ -191,43 +211,43 @@ export async function handleGenAIContent(request, env) {
         }
         
         //提示词内不能有英文引号，否则会存储数据缺失。
-        fullPromptForCall1_System = getSystemPromptSummarizationStepOne();
-        fullPromptForCall1_User = '\n\n------\n\n'+selectedContentItems.join('\n\n------\n\n')+'\n\n------\n\n'; // Keep this for logging/error reporting if needed
+        // fullPromptForCall1_System = getSystemPromptSummarizationStepOne();
+        // fullPromptForCall1_User = '\n\n------\n\n'+selectedContentItems.join('\n\n------\n\n')+'\n\n------\n\n'; // Keep this for logging/error reporting if needed
 
-        console.log("Call 1 to Chat (Summarization): User prompt length:", fullPromptForCall1_User.length);
-        try {
-            const chunkSize = 3;
-            const summaryPromises = [];
+        // console.log("Call 1 to Chat (Summarization): User prompt length:", fullPromptForCall1_User.length);
+        // try {
+        //     const chunkSize = 3;
+        //     const summaryPromises = [];
             
-            for (let i = 0; i < selectedContentItems.length; i += chunkSize) {
-                const chunk = selectedContentItems.slice(i, i + chunkSize);
-                const chunkPrompt = chunk.join('\n\n---\n\n'); // Join selected items with the separator
+        //     for (let i = 0; i < selectedContentItems.length; i += chunkSize) {
+        //         const chunk = selectedContentItems.slice(i, i + chunkSize);
+        //         const chunkPrompt = chunk.join('\n\n---\n\n'); // Join selected items with the separator
                 
-                summaryPromises.push((async () => {
-                    let summarizedChunks = [];
-                    for await (const streamChunk of callChatAPIStream(env, chunkPrompt, fullPromptForCall1_System)) {
-                        summarizedChunks.push(streamChunk);
-                    }
-                    return summarizedChunks.join('');
-                })());
-            }
+        //         summaryPromises.push((async () => {
+        //             let summarizedChunks = [];
+        //             for await (const streamChunk of callChatAPIStream(env, chunkPrompt, fullPromptForCall1_System)) {
+        //                 summarizedChunks.push(streamChunk);
+        //             }
+        //             return summarizedChunks.join('');
+        //         })());
+        //     }
 
-            const allSummarizedResults = await Promise.all(summaryPromises);
-            outputOfCall1 = allSummarizedResults.join('\n\n'); // Join all summarized parts
+        //     const allSummarizedResults = await Promise.all(summaryPromises);
+        //     outputOfCall1 = allSummarizedResults.join('\n\n'); // Join all summarized parts
 
-            if (!outputOfCall1 || outputOfCall1.trim() === "") throw new Error("Chat summarization call returned empty content.");
-            outputOfCall1 = removeMarkdownCodeBlock(outputOfCall1); // Clean the output
-            console.log("Call 1 (Summarization) successful. Output length:", outputOfCall1.length);
-        } catch (error) {
-            console.error("Error in Chat API Call 1 (Summarization):", error);
-            const errorHtml = generateGenAiPageHtml(env, '生成AI日报出错(分段处理)', `<p><strong>Failed during summarization:</strong> ${escapeHtml(error.message)}</p>${error.stack ? `<pre>${escapeHtml(error.stack)}</pre>` : ''}`, dateStr, true, selectedItemsParams, fullPromptForCall1_System, fullPromptForCall1_User);
-            return new Response(errorHtml, { status: 500, headers: { 'Content-Type': 'text/html; charset=utf-8' } });
-        }
+        //     if (!outputOfCall1 || outputOfCall1.trim() === "") throw new Error("Chat summarization call returned empty content.");
+        //     outputOfCall1 = removeMarkdownCodeBlock(outputOfCall1); // Clean the output
+        //     console.log("Call 1 (Summarization) successful. Output length:", outputOfCall1.length);
+        // } catch (error) {
+        //     console.error("Error in Chat API Call 1 (Summarization):", error);
+        //     const errorHtml = generateGenAiPageHtml(env, '生成AI日报出错(分段处理)', `<p><strong>Failed during summarization:</strong> ${escapeHtml(error.message)}</p>${error.stack ? `<pre>${escapeHtml(error.stack)}</pre>` : ''}`, dateStr, true, selectedItemsParams, fullPromptForCall1_System, fullPromptForCall1_User);
+        //     return new Response(errorHtml, { status: 500, headers: { 'Content-Type': 'text/html; charset=utf-8' } });
+        // }
 
         // Call 2: Process outputOfCall1
         let outputOfCall2 = null;
-        let fullPromptForCall2_System = getSystemPromptSummarizationStepTwo(); // Re-using summarization prompt for now
-        let fullPromptForCall2_User = outputOfCall1; // Input for Call 2 is output of Call 1
+        let fullPromptForCall2_System = getSystemPromptSummarizationStepOne(); // Re-using summarization prompt for now
+        let fullPromptForCall2_User = '\n\n------\n\n'+selectedContentItems.join('\n\n------\n\n')+'\n\n------\n\n'; // Input for Call 2 is output of Call 1
 
         console.log("Call 2 to Chat (Processing Call 1 Output): User prompt length:", fullPromptForCall2_User.length);
         try {
@@ -241,25 +261,28 @@ export async function handleGenAIContent(request, env) {
             console.log("Call 2 (Processing Call 1 Output) successful. Output length:", outputOfCall2.length);
         } catch (error) {
             console.error("Error in Chat API Call 2 (Processing Call 1 Output):", error);
-            const errorHtml = generateGenAiPageHtml(env, '生成AI日报出错(格式化)', `<p><strong>Failed during processing of summarized content:</strong> ${escapeHtml(error.message)}</p>${error.stack ? `<pre>${escapeHtml(error.stack)}</pre>` : ''}`, dateStr, true, selectedItemsParams, fullPromptForCall1_System, fullPromptForCall1_User, fullPromptForCall2_System, fullPromptForCall2_User);
+            const errorHtml = generateGenAiPageHtml(env, '生成AI日报出错(格式化)', `<p><strong>Failed during processing of summarized content:</strong> ${escapeHtml(error.message)}</p>${error.stack ? `<pre>${escapeHtml(error.stack)}</pre>` : ''}`, dateStr, true, selectedItemsParams, fullPromptForCall2_System, fullPromptForCall2_User);
             return new Response(errorHtml, { status: 500, headers: { 'Content-Type': 'text/html; charset=utf-8' } });
         }
         
         let promptsMarkdownContent = `# Prompts for ${dateStr}\n\n`;
-        promptsMarkdownContent += `## Call 1: Content Summarization\n\n`;
-        if (fullPromptForCall1_System) promptsMarkdownContent += `### System Instruction\n\`\`\`\n${fullPromptForCall1_System}\n\`\`\`\n\n`;
-        if (fullPromptForCall1_User) promptsMarkdownContent += `### User Input\n\`\`\`\n${fullPromptForCall1_User}\n\`\`\`\n\n`;
+        // promptsMarkdownContent += `## Call 1: Content Summarization\n\n`;
+        // if (fullPromptForCall1_System) promptsMarkdownContent += `### System Instruction\n\`\`\`\n${fullPromptForCall1_System}\n\`\`\`\n\n`;
+        // if (fullPromptForCall1_User) promptsMarkdownContent += `### User Input\n\`\`\`\n${fullPromptForCall1_User}\n\`\`\`\n\n`;
         promptsMarkdownContent += `## Call 2: Summarized Content Format\n\n`;
         if (fullPromptForCall2_System) promptsMarkdownContent += `### System Instruction\n\`\`\`\n${fullPromptForCall2_System}\n\`\`\`\n\n`;
         if (fullPromptForCall2_User) promptsMarkdownContent += `### User Input (Output of Call 1)\n\`\`\`\n${fullPromptForCall2_User}\n\`\`\`\n\n`;
 
         let dailySummaryMarkdownContent = `## ${env.DAILY_TITLE} ${formatDateToChinese(dateStr)}` + '\n\n';
         dailySummaryMarkdownContent += '> '+ env.DAILY_TITLE_MIN + '\n\n';
+
+        let fullPromptForCall3_System = getSystemPromptSummarizationStepThree(); // Re-using summarization prompt for now
+        let fullPromptForCall3_User = outputOfCall2; // Input for Call 2 is output of Call 1
         let outputOfCall3 = null;
-        console.log("Call 3 to Chat (Processing Call 2 Output): User prompt length:", outputOfCall2.length);
+        console.log("Call 3 to Chat (Processing Call 1 Output): User prompt length:", fullPromptForCall3_User.length);
         try {
             let processedChunks = [];
-            for await (const chunk of callChatAPIStream(env, outputOfCall2, getSystemPromptSummarizationStepThree())) {
+            for await (const chunk of callChatAPIStream(env, fullPromptForCall3_User, fullPromptForCall3_System)) {
                 processedChunks.push(chunk);
             }
             outputOfCall3 = processedChunks.join('');
@@ -268,12 +291,13 @@ export async function handleGenAIContent(request, env) {
             console.log("Call 3 (Processing Call 2 Output) successful. Output length:", outputOfCall3.length);
         } catch (error) {
             console.error("Error in Chat API Call 3 (Processing Call 2 Output):", error);
-            const errorHtml = generateGenAiPageHtml(env, '生成AI日报出错(摘要)', `<p><strong>Failed during processing of summarized content:</strong> ${escapeHtml(error.message)}</p>${error.stack ? `<pre>${escapeHtml(error.stack)}</pre>` : ''}`, dateStr, true, selectedItemsParams, fullPromptForCall1_System, fullPromptForCall1_User, fullPromptForCall2_System, fullPromptForCall2_User);
+            const errorHtml = generateGenAiPageHtml(env, '生成AI日报出错(摘要)', `<p><strong>Failed during processing of summarized content:</strong> ${escapeHtml(error.message)}</p>${error.stack ? `<pre>${escapeHtml(error.stack)}</pre>` : ''}`, dateStr, true, selectedItemsParams, fullPromptForCall3_System, fullPromptForCall3_User);
             return new Response(errorHtml, { status: 500, headers: { 'Content-Type': 'text/html; charset=utf-8' } });
         }
-        dailySummaryMarkdownContent += '\n\n### **AI内容摘要**\n\n```\n' + outputOfCall3 + '\n```\n\n';
+        dailySummaryMarkdownContent += '\n\n### **今日摘要**\n\n```\n' + outputOfCall3 + '\n```\n\n';
 
         dailySummaryMarkdownContent += `\n\n${removeMarkdownCodeBlock(outputOfCall2)}`;
+        if (env.INSERT_AD=='true') dailySummaryMarkdownContent += insertAd() +`\n`;
         if (env.INSERT_FOOT=='true') dailySummaryMarkdownContent += insertFoot() +`\n\n`;
 
         const successHtml = generateGenAiPageHtml(
@@ -281,12 +305,11 @@ export async function handleGenAIContent(request, env) {
             'AI日报', // Title for Call 1 page
             escapeHtml(dailySummaryMarkdownContent), 
             dateStr, false, selectedItemsParams,
-            fullPromptForCall1_System, fullPromptForCall1_User,
+            fullPromptForCall2_System, fullPromptForCall2_User,
             null, null, // Pass Call 2 prompts
             convertEnglishQuotesToChinese(removeMarkdownCodeBlock(promptsMarkdownContent)), 
             convertEnglishQuotesToChinese(dailySummaryMarkdownContent), 
             null, // No podcast script for this page
-            outputOfCall1 // Pass summarized content for the next step (original outputOfCall1)
         );
         return new Response(successHtml, { headers: { 'Content-Type': 'text/html; charset=utf-8' } });
 
@@ -294,7 +317,7 @@ export async function handleGenAIContent(request, env) {
         console.error("Error in /genAIContent (outer try-catch):", error);
         const pageDateForError = dateStr || getISODate(); 
         const itemsForActionOnError = Array.isArray(selectedItemsParams) ? selectedItemsParams : [];
-        const errorHtml = generateGenAiPageHtml(env, '生成AI日报出错', `<p><strong>Unexpected error:</strong> ${escapeHtml(error.message)}</p>${error.stack ? `<pre>${escapeHtml(error.stack)}</pre>` : ''}`, pageDateForError, true, itemsForActionOnError, fullPromptForCall1_System, fullPromptForCall1_User, fullPromptForCall2_System, fullPromptForCall2_User);
+        const errorHtml = generateGenAiPageHtml(env, '生成AI日报出错', `<p><strong>Unexpected error:</strong> ${escapeHtml(error.message)}</p>${error.stack ? `<pre>${escapeHtml(error.stack)}</pre>` : ''}`, pageDateForError, true, itemsForActionOnError, fullPromptForCall2_System, fullPromptForCall2_User);
         return new Response(errorHtml, { status: 500, headers: { 'Content-Type': 'text/html; charset=utf-8' } });
     }
 }

src/handlers/genAIDailyPage.js

@@ -0,0 +1,42 @@
+import { getISODate, escapeHtml, formatDateToChinese, convertEnglishQuotesToChinese} from '../helpers.js';
+import { generateGenAiPageHtml } from '../htmlGenerators.js';
+import { insertFoot } from '../foot.js';
+import { insertAd } from '../ad.js';
+
+export async function handleGenAIDailyPage(request, env) {
+    let dateStr;
+    try {
+        const url = new URL(request.url);
+        const dateParam = url.searchParams.get('date');
+        dateStr = dateParam ? dateParam : getISODate();
+
+        let dailySummaryMarkdownContent = `## ${env.DAILY_TITLE} ${formatDateToChinese(dateStr)}` + '\n\n';
+        dailySummaryMarkdownContent += '> '+ env.DAILY_TITLE_MIN + '\n\n';
+        
+        dailySummaryMarkdownContent += '\n\n### **今日摘要**\n\n```\n' + '这里输入内容摘要' + '\n```\n\n';
+        if (env.INSERT_AD=='true') dailySummaryMarkdownContent += insertAd() +`\n`;
+        if (env.INSERT_FOOT=='true') dailySummaryMarkdownContent += insertFoot() +`\n\n`;
+
+        const successHtml = generateGenAiPageHtml(
+            env, 
+            'AI日报', // Title for the page
+            escapeHtml(dailySummaryMarkdownContent), 
+            dateStr, 
+            false, // isError
+            [], // selectedItemsParams (not applicable here)
+            null, null, // Call 1 prompts (not applicable here)
+            null, null, // Call 2 prompts (not applicable here)
+            'webbuild', // promptsMarkdownContent (not applicable here)
+            convertEnglishQuotesToChinese(dailySummaryMarkdownContent), // dailySummaryMarkdownContent
+            null, // podcastScriptMarkdownContent (not applicable here)
+            true, // readGithub
+        );
+        return new Response(successHtml, { headers: { 'Content-Type': 'text/html; charset=utf-8' } });
+
+    } catch (error) {
+        console.error("Error in /genAIDailyPage:", error);
+        const pageDateForError = dateStr || getISODate(); 
+        const errorHtml = generateGenAiPageHtml(env, '生成AI日报页面出错', `<p><strong>Unexpected error:</strong> ${escapeHtml(error.message)}</p>${error.stack ? `<pre>${escapeHtml(error.stack)}</pre>` : ''}`, pageDateForError, true, []);
+        return new Response(errorHtml, { status: 500, headers: { 'Content-Type': 'text/html; charset=utf-8' } });
+    }
+}

src/handlers/writeRssData.js

@@ -1,4 +1,4 @@
-import { replaceImageProxy, formatMarkdownText, formatDateToGMT12WithTime } from '../helpers.js';
+import { replaceImageProxy, formatMarkdownText, formatDateToGMT8WithTime, removeMarkdownCodeBlock } from '../helpers.js';
 import { getDailyReportContent } from '../github.js';
 import { storeInKV } from '../kv.js';
 import { marked } from '../marked.esm.js';
@@ -26,7 +26,7 @@ export async function handleWriteRssData(request, env) {
         }
         console.log(`[writeRssData] Successfully retrieved content for ${path}. Content length: ${content.length}`);
 
-        //content = extractContentFromSecondHash(content);
+        // content = extractContentFromSecondHash(content);
         // 从 "YYYY-MM-DD" 格式的 dateStr 中提取 "YYYY-MM"
         const yearMonth = dateStr.substring(0, 7);
         const report = {
@@ -35,9 +35,11 @@ export async function handleWriteRssData(request, env) {
             link:  '/'+yearMonth+'/'+dateStr+'/',
             content_html: null,
             // 可以添加其他相關欄位，例如作者、來源等
-            published_date: formatDateToGMT12WithTime(new Date()) // 記錄保存時間
+            published_date: formatDateToGMT8WithTime(new Date()) // 記錄保存時間
         }
         report.content_html = marked.parse(formatMarkdownText(replaceImageProxy(env, content)));
+        //report.content_html = marked.parse(formatMarkdownText(await generateAIContent(env, content)));
+
         
         const kvKey = `${dateStr}-report`;
         console.log(`[writeRssData] Preparing to store report in KV. Key: ${kvKey}, Report object:`, JSON.stringify(report).substring(0, 200) + '...'); // Log first 200 chars
@@ -64,11 +66,12 @@ export function extractContentFromSecondHash(content) {
     const parts = content.split('###');
     if (parts.length > 2) {
         // 原始逻辑：重新组合从第二个 ### 开始的所有部分
-        const newcontent = '###' + parts.slice(2).join('###');
-        const lastHashIndex = newcontent.lastIndexOf('###');
+        let newcontent = '###' + parts.slice(2).join('###');
+        const lastHashIndex = newcontent.lastIndexOf('AI资讯日报语音版');
         if (lastHashIndex !== -1) {
-            return newcontent.substring(0, lastHashIndex);
+            newcontent = newcontent.substring(0, lastHashIndex-10);
         }
+        return newcontent;
     }
     return content; // 如果没有找到 ### 或不符合上述条件，则返回原始内容
 }
@@ -87,8 +90,8 @@ export async function generateAIContent(env, promptText) {
     try {
         let result = await callChatAPI(env, promptText, getSummarizationSimplifyPrompt());
         console.log(`[generateAIContent] AI model returned content. Length: ${result.length}`);
-
-        result += "\n\n </br>"+env.INSERT_APP_URL;
+        result = removeMarkdownCodeBlock(result);
+        result += "\n\n</br>"+env.INSERT_APP_URL;
         return result;
     } catch (error) {
         console.error('[generateAIContent] Error calling AI model:', error.message, error.stack);

src/helpers.js

@@ -257,7 +257,7 @@ export function formatRssDate(date) {
     return new Intl.DateTimeFormat('zh-CN', options).format(date);
 }  
 
-  export function formatDateToGMT12WithTime(isoDateString) {
+  export function formatDateToGMT8WithTime(isoDateString) {
     if (!isoDateString) return '';
     const date = new Date(isoDateString);
     const options = {
@@ -268,7 +268,7 @@ export function formatRssDate(date) {
         minute: '2-digit',
         second: '2-digit',
         hour12: false, // 使用24小时制
-        timeZone: 'Asia/Kamchatka'// 指定东12时区
+        timeZone: 'Asia/Shanghai'// 指定东8时区
     };
     // 使用 'zh-CN' 语言环境以确保中文格式
     return new Intl.DateTimeFormat('zh-CN', options).format(date);

src/htmlGenerators.js

@@ -282,7 +282,8 @@ function generatePromptSectionHtmlForGenAI(systemPrompt, userPrompt, promptTitle
 
 export function generateGenAiPageHtml(env, title, bodyContent, pageDate, isErrorPage = false, selectedItemsForAction = null,
                                  systemP1 = null, userP1 = null, systemP2 = null, userP2 = null,
-                                 promptsMd = null, dailyMd = null, podcastMd = null) {
+                                 promptsMd = null, dailyMd = null, podcastMd = null, readGithub = null) {
+
 
     let actionButtonHtml = '';
     // Regenerate button for AI Content Summary page
@@ -333,6 +334,7 @@ export function generateGenAiPageHtml(env, title, bodyContent, pageDate, isError
         generatePodcastButtonHtml = `
             <form action="/genAIPodcastScript" method="POST" style="display: inline-block; margin-left: 0.5rem;">
                 <input type="hidden" name="date" value="${escapeHtml(pageDate)}">
+                <input type="hidden" name="readGithub" value="${readGithub}">
                 ${selectedItemsForAction.map(item => `<input type="hidden" name="selectedItems" value="${escapeHtml(item)}">`).join('')}
                 <input type="hidden" name="summarizedContent" value="${escapeHtml(convertEnglishQuotesToChinese(bodyContent))}">
                 <button type="submit" class="button-link">生成播客脚本</button>
@@ -347,7 +349,7 @@ export function generateGenAiPageHtml(env, title, bodyContent, pageDate, isError
     }
 
     let promptDisplayHtml = '';
-    if (title === 'AI日报') {
+    if (title === 'AI日报' || title.includes('生成AI日报出错(')) {
         if (systemP1 || userP1) {
             promptDisplayHtml = `
                 <div style="margin-top: 1.5rem;">

src/index.js

@@ -2,7 +2,8 @@
 import { handleWriteData } from './handlers/writeData.js';
 import { handleGetContent } from './handlers/getContent.js';
 import { handleGetContentHtml } from './handlers/getContentHtml.js';
-import { handleGenAIContent, handleGenAIPodcastScript, handleGenAIDailyAnalysis } from './handlers/genAIContent.js'; // Import handleGenAIPodcastScript and handleGenAIDailyAnalysis
+import { handleGenAIContent, handleGenAIPodcastScript, handleGenAIDailyAnalysis } from './handlers/genAIContent.js';
+import { handleGenAIDailyPage } from './handlers/genAIDailyPage.js'; // Import handleGenAIDailyPage
 import { handleCommitToGitHub } from './handlers/commitToGitHub.js';
 import { handleRss } from './handlers/getRss.js';
 import { handleWriteRssData } from './handlers/writeRssData.js'; 
@@ -18,9 +19,6 @@ export default {
             'LOGIN_USERNAME', 'LOGIN_PASSWORD',
             'PODCAST_TITLE','PODCAST_BEGIN','PODCAST_END',
             'FOLO_COOKIE_KV_KEY','FOLO_DATA_API','FOLO_FILTER_DAYS',
-            'AIBASE_FEED_ID', 'XIAOHU_FEED_ID', 'HGPAPERS_FEED_ID', 'TWITTER_LIST_ID',
-            'AIBASE_FETCH_PAGES', 'XIAOHU_FETCH_PAGES', 'HGPAPERS_FETCH_PAGES', 'TWITTER_FETCH_PAGES',
-            //'AIBASE_API_URL', 'XIAOHU_API_URL','PROJECTS_API_URL','HGPAPERS_API_URL', 'TWITTER_API_URL', 'TWITTER_USERNAMES',
         ];
         console.log(env);
         const missingVars = requiredEnvVars.filter(varName => !env[varName]);
@@ -79,6 +77,8 @@ export default {
                 response = await handleGenAIPodcastScript(request, env);
             } else if (path === '/genAIDailyAnalysis' && request.method === 'POST') { // New route for AI Daily Analysis
                 response = await handleGenAIDailyAnalysis(request, env);
+            } else if (path === '/genAIDailyPage' && request.method === 'GET') { // New route for AI Daily Page
+                response = await handleGenAIDailyPage(request, env);
             } else if (path === '/commitToGitHub' && request.method === 'POST') {
                 response = await handleCommitToGitHub(request, env);
             } else {

src/prompt/summarizationPromptStepZero.js

@@ -0,0 +1,16 @@
+// Add new data sources
+export function getSystemPromptSummarizationStepOne() {
+    return `
+    你是一名专业的文本摘要助理。你的任务是根据收到的文本类型（或其包含的多种内容类型）执行特定类型的摘要。
+
+    重要通用原则：所有摘要内容必须严格来源于原文。不得捏造、歪曲或添加原文未提及的信息。
+    
+    **最终输出要求：**
+    *   参照以上条件优化文本内容，按内容自动分段，段落数量要和原始一样。
+    *   仅输出最终生成的摘要。不要包含任何关于你如何分析文本、确定其类型、分割文本或应用规则的解释性文字。如果合并了来自多个片段的摘要，请确保合并后的文本流畅自然。
+    *   输出语言与格式：内容必须为简体中文，并严格采用 Markdown 格式进行排版。
+    *   关键词高亮：请在内容中自动识别并对核心关键词或重要概念进行加黑加粗处理，以增强可读性和重点突出。
+    *   给最终内容加上标题，前置标题为“### **今日AI资讯**”。
+    *   段落序列化：在每个独立段落的开头，必须添加以“1.”开头的阿拉伯数字序列，确保数字正确递增（例如，1.、2.、3.、...）。
+    `;
+}

wrangler.toml

@@ -20,23 +20,15 @@ OPENAI_API_URL = "https://api.deepseek.com" # Or your OpenAI compatible API URL
 DEFAULT_OPEN_MODEL = "deepseek-chat"
 FOLO_COOKIE_KV_KEY = "folo_auth_cookie" 
 FOLO_DATA_API = "https://api.follow.is/entries"
-FOLO_FILTER_DAYS = 3
-AIBASE_FEED_ID = "69533603812632576" 
-AIBASE_FETCH_PAGES = "3" 
-XIAOHU_FEED_ID = "151846580097413120" 
-XIAOHU_FETCH_PAGES = "2" 
-HGPAPERS_FEED_ID = "41359648680482832" 
-HGPAPERS_FETCH_PAGES = "2" 
-JIQIZHIXIN_FEED_ID = "41459996870678583" 
-JIQIZHIXIN_FETCH_PAGES = "1" 
-QBIT_FEED_ID = "58864180026527744" 
-QBIT_FETCH_PAGES = "1" 
-XINZHIYUAN_FEED_ID = "60901577013168128" 
-XINZHIYUAN_FETCH_PAGES = "1" 
+FOLO_FILTER_DAYS = 1
+NEWS_AGGREGATOR_LIST_ID = "158437828119024640" 
+NEWS_AGGREGATOR_FETCH_PAGES = "1" 
+HGPAPERS_LIST_ID = "158437917409783808"
+HGPAPERS_FETCH_PAGES = "1"
 TWITTER_LIST_ID = "153028784690326528" 
-TWITTER_FETCH_PAGES = "2" 
+TWITTER_FETCH_PAGES = "1" 
 REDDIT_LIST_ID = "167576006499975168" 
-REDDIT_FETCH_PAGES = "2" 
+REDDIT_FETCH_PAGES = "1" 
 PROJECTS_API_URL = "https://git-trending.justlikemaki.vip/topone/?since=daily"
 GITHUB_TOKEN = "github_pat_xxxxxx"
 GITHUB_REPO_OWNER = "justlovemaki"
@@ -51,4 +43,5 @@ PODCAST_BEGIN = "嘿，亲爱的V，欢迎收听新一期的来生情报站，
 PODCAST_END = "今天的情报就到这里，注意隐蔽，赶紧撤离"
 BOOK_LINK = ""
 INSERT_FOOT = "false"
+INSERT_AD = "false"
 INSERT_APP_URL = "<h3>[查看完整版AI日报↗️ https://ai.hubtoday.app/](https://ai.hubtoday.app/)</h3>"