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chalk from 'chalk'\nimport { table } from 'table'\n\nimport { Repository } from '../types/github'\nimport { Metadata } from '../types/metadata'\nimport { FormatOptions } from '../types/output'\nimport { createTerminalLink } from '../utils/tools'\n\n/**\n * formatter output\n * @param repositories repositories\n * @param options options\n * @returns formatted string\n */\nexport function formatOutput(repositories: Repository[], options: FormatOptions): string {\n switch (options.format) {\n case 'json':\n return formatJson(repositories)\n case 'markdown':\n return formatMarkdown(repositories, options)\n case 'table':\n default:\n return formatTable(repositories, options)\n }\n}\n\n/**\n * format metadata output\n * @param metadata metadata\n * @param options options\n * @returns formatted string\n */\nexport function formatMetadataOutput(metadata: Metadata, options: FormatOptions): string {\n switch (options.format) {\n case 'json':\n return formatMetadataJson(metadata)\n case 'markdown':\n return formatMetadataMarkdown(metadata)\n case 'table':\n default:\n return formatMetadataTable(metadata, options)\n }\n}\n\n/**\n * format to JSON\n * @param repositories repositories\n * @returns JSON string\n */\nfunction formatJson(repositories: Repository[]): string {\n return JSON.stringify(repositories, null, 2)\n}\n\n/**\n * format metadata to JSON\n * @param metadata metadata\n * @returns JSON string\n */\nfunction formatMetadataJson(metadata: Metadata): string {\n const outputMetadata = { ...metadata }\n delete outputMetadata.contentPreview\n\n return JSON.stringify(outputMetadata, null, 2)\n}\n\n/**\n * Format the output as a table\n * @param repositories\n * @param options\n * @returns\n */\nfunction formatTable(repositories: Repository[], options: FormatOptions): string {\n const { colorEnabled, period, language } = options\n\n const header = [\n colorEnabled ? chalk.bold('#') : '#',\n colorEnabled ? chalk.bold('Repository') : 'Repository',\n colorEnabled ? chalk.bold('Description') : 'Description',\n colorEnabled ? chalk.bold('Language') : 'Language',\n colorEnabled ? chalk.bold('Stars') : 'Stars',\n colorEnabled ? chalk.bold('New Stars') : 'New Stars',\n colorEnabled ? chalk.bold('Forks') : 'Forks'\n ]\n\n // Prepare data rows\n const rows = repositories.map((repo) => {\n const repoText = `${repo.author || ''}/${repo.name}`\n const repoName = colorEnabled ? chalk.blue(repoText) : repoText\n\n const truncatedRepoName = truncate(repoName, 28)\n const description = repo.description ? truncate(repo.description, 43) : ''\n const language = repo.language ? truncate(repo.language, 10) : '-'\n\n const stars = formatNumber(repo.stars)\n const starsInPeriod = colorEnabled\n ? chalk.green(`+${formatNumber(repo.starsInPeriod || 0)}`)\n : `+${formatNumber(repo.starsInPeriod || 0)}`\n\n return [\n repo.rank.toString(),\n truncatedRepoName,\n description,\n language,\n stars,\n starsInPeriod,\n formatNumber(repo.forks)\n ]\n })\n\n // generate table\n const data = [header, ...rows]\n const config = {\n border: {\n topBody: '─',\n topJoin: '┬',\n topLeft: '┌',\n topRight: '┐',\n bottomBody: '─',\n bottomJoin: '┴',\n bottomLeft: '└',\n bottomRight: '┘',\n bodyLeft: '│',\n bodyRight: '│',\n bodyJoin: '│',\n joinBody: '─',\n joinLeft: '├',\n joinRight: '┤',\n joinJoin: '┼'\n },\n columns: {\n 0: { width: 3 },\n 1: { width: 30 },\n 2: { width: 45 },\n 3: { width: 12 },\n 4: { width: 8 },\n 5: { width: 12 },\n 6: { width: 8 }\n },\n columnDefault: {\n wrapWord: true,\n truncate: 100\n }\n }\n\n const title = colorEnabled\n ? chalk.yellow(\n `🔥 GitHub Trending Repositories${language ? ` (${language})` : ''} - ${getPeriodText(\n period\n )}`\n )\n : `GitHub Trending Repositories${language ? ` (${language})` : ''} - ${getPeriodText(period)}`\n\n return `\\n${title}\\n\\n${table(data, config)}\\n`\n}\n\n/**\n * format metadata to table\n * @param metadata metadata\n * @param options options\n * @returns table string\n */\nfunction formatMetadataTable(metadata: Metadata, options: FormatOptions): string {\n const { colorEnabled } = options\n\n // prepare table data\n const rows: string[][] = []\n\n // add basic information\n rows.push([colorEnabled ? chalk.bold('URL') : 'URL', metadata.url])\n\n rows.push([colorEnabled ? chalk.bold('Title') : 'Title', metadata.title || 'No Title'])\n\n rows.push([\n colorEnabled ? chalk.bold('Description') : 'Description',\n truncate(metadata.description || 'No Description', 100)\n ])\n\n // add other valid information\n if (metadata.author) {\n rows.push([colorEnabled ? chalk.bold('Author') : 'Author', metadata.author])\n }\n\n if (metadata.publisher) {\n rows.push([colorEnabled ? chalk.bold('Publisher') : 'Publisher', metadata.publisher])\n }\n\n if (metadata.language) {\n rows.push([colorEnabled ? chalk.bold('Language') : 'Language', metadata.language])\n }\n\n if (metadata.type) {\n rows.push([colorEnabled ? chalk.bold('Type') : 'Type', metadata.type])\n }\n\n if (metadata.published) {\n rows.push([\n colorEnabled ? chalk.bold('Published') : 'Published',\n metadata.published.toISOString().split('T')[0]\n ])\n }\n\n if (metadata.modified) {\n rows.push([\n colorEnabled ? chalk.bold('Modified') : 'Modified',\n metadata.modified.toISOString().split('T')[0]\n ])\n }\n\n if (metadata.keywords && metadata.keywords.length) {\n rows.push([colorEnabled ? chalk.bold('Keywords') : 'Keywords', metadata.keywords.join(', ')])\n }\n\n if (metadata.tags && metadata.tags.length) {\n rows.push([colorEnabled ? chalk.bold('Tags') : 'Tags', metadata.tags.join(', ')])\n }\n\n // Add AI enhanced information\n if (metadata.aiSummary) {\n rows.push([colorEnabled ? chalk.bold('AI Summary') : 'AI Summary', metadata.aiSummary])\n }\n\n if (metadata.category && metadata.category.length) {\n rows.push([colorEnabled ? chalk.bold('Category') : 'Category', metadata.category.join(', ')])\n }\n\n if (metadata.readingTime) {\n rows.push([\n colorEnabled ? chalk.bold('Reading Time') : 'Reading Time',\n ` ${metadata.readingTime} minutes`\n ])\n }\n\n if (metadata.keyPoints && metadata.keyPoints.length) {\n const keyPointsText = metadata.keyPoints\n .map((point, index) => `${index + 1}. ${point}`)\n .join('\\n')\n\n rows.push([colorEnabled ? chalk.bold('Key Points') : 'Key Points', keyPointsText])\n }\n\n // generate table\n const title = colorEnabled ? chalk.yellow('📄 URL Metadata Analysis') : 'URL Metadata Analysis'\n\n return `\\n${title}\\n\\n${table(rows)}\\n`\n}\n\n/**\n * format to markdown\n * @param repositories repositories\n * @param options options\n * @returns markdown string\n */\nfunction formatMarkdown(repositories: Repository[], options: FormatOptions): string {\n const { period, language } = options\n\n // title\n let md = `# 🔥 GitHub Trending Repositories${language ? ` (${language})` : ''} - ${getPeriodText(\n period\n )}\\n\\n`\n\n repositories.forEach((repo) => {\n md += `## ${repo.rank}. [${repo.author || ''}/${repo.name}](${repo.url})\\n\\n`\n\n if (repo.description) {\n md += `${repo.description}\\n\\n`\n }\n\n md += `- **Language:** ${repo.language || 'Not Specified'}\\n`\n md += `- **⭐ Stars:** ${formatNumber(repo.stars)} (New: +${formatNumber(\n repo.starsInPeriod || 0\n )})\\n`\n md += `- **🍴 Forks:** ${formatNumber(repo.forks)}\\n`\n\n // Add AI enhanced content (if available)\n if (repo.aiSummary) {\n md += `\\n### AI Analysis Summary\\n\\n${repo.aiSummary}\\n`\n }\n\n if (repo.keyFeatures && repo.keyFeatures.length > 0) {\n md += '\\n### Key Features\\n\\n'\n repo.keyFeatures.forEach((feature) => {\n md += `- ${feature}\\n`\n })\n }\n\n if (repo.useCases && repo.useCases.length > 0) {\n md += '\\n### Use Cases\\n\\n'\n repo.useCases.forEach((useCase) => {\n md += `- ${useCase}\\n`\n })\n }\n\n md += '\\n---\\n\\n'\n })\n\n return md\n}\n\n/**\n * Format metadata to Markdown\n * @param metadata metadata object\n * @returns Markdown string\n */\nfunction formatMetadataMarkdown(metadata: Metadata): string {\n // Title\n let md = '# URL Metadata Analysis\\n\\n'\n\n // Basic information\n md += '## Basic Information\\n\\n'\n md += `- **URL:** ${metadata.url}\\n`\n md += `- **Title:** ${metadata.title || 'No Title'}\\n`\n md += `- **Description:** ${metadata.description || 'No Description'}\\n`\n\n if (metadata.author) {\n md += `- **Author:** ${metadata.author}\\n`\n }\n\n if (metadata.publisher) {\n md += `- **Publisher:** ${metadata.publisher}\\n`\n }\n\n if (metadata.language) {\n md += `- **Language:** ${metadata.language}\\n`\n }\n\n if (metadata.type) {\n md += `- **Type:** ${metadata.type}\\n`\n }\n\n if (metadata.published) {\n md += `- **Published Date:** ${metadata.published.toISOString().split('T')[0]}\\n`\n }\n\n if (metadata.modified) {\n md += `- **Modified Date:** ${metadata.modified.toISOString().split('T')[0]}\\n`\n }\n\n // Keywords and tags\n if (metadata.keywords && metadata.keywords.length) {\n md += '\\n## Keywords\\n\\n'\n md += metadata.keywords.join(', ') + '\\n'\n }\n\n if (metadata.tags && metadata.tags.length) {\n md += '\\n## Tags\\n\\n'\n md += metadata.tags.join(', ') + '\\n'\n }\n\n // AI enhanced information\n if (metadata.aiSummary || (metadata.keyPoints && metadata.keyPoints.length)) {\n md += '\\n## AI Analysis\\n\\n'\n\n if (metadata.aiSummary) {\n md += `### Summary\\n\\n${metadata.aiSummary}\\n\\n`\n }\n\n if (metadata.category) {\n md += `**Category:** ${metadata.category}\\n\\n`\n }\n\n if (metadata.readingTime) {\n md += `**Estimated Reading Time:** About ${metadata.readingTime} minutes\\n\\n`\n }\n\n if (metadata.keyPoints && metadata.keyPoints.length) {\n md += '### Key Points\\n\\n'\n metadata.keyPoints.forEach((point, index) => {\n md += `${index + 1}. ${point}\\n`\n })\n }\n }\n\n // Available images\n if (metadata.image || metadata.icon) {\n md += '\\n## Images\\n\\n'\n\n if (metadata.image) {\n md += `- **Main Image:** ${metadata.image}\\n`\n }\n\n if (metadata.icon) {\n md += `- **Icon:** ${metadata.icon}\\n`\n }\n }\n\n return md\n}\n\n/**\n * Get period text\n * @param period period\n * @returns period text\n */\nfunction getPeriodText(period: string): string {\n switch (period) {\n case 'daily':\n return 'Today'\n case 'weekly':\n return 'This Week'\n case 'monthly':\n return 'This Month'\n default:\n return period\n }\n}\n\n/**\n * Format number\n * @param num number\n * @returns formatted string\n */\nfunction formatNumber(num: number): string {\n if (num >= 1000) {\n return (num / 1000).toFixed(1) + 'k'\n }\n return num.toString()\n}\n\n/**\n * Truncate text\n * @param text text\n * @param maxLength maximum length\n * @returns truncated text\n */\nfunction truncate(text: string, maxLength: number): string {\n if (!text || typeof text !== 'string') return String(text || '')\n\n const stripAnsi = (str: string) => str.replace(/\\u001b\\[[0-9;]*m/g, '')\n const actualLength = stripAnsi(text).length\n\n if (actualLength <= maxLength) return text\n\n if (text.includes('\\u001b[')) {\n const plainText = stripAnsi(text)\n const truncatedPlain = plainText.substring(0, maxLength - 3) + '...'\n\n const colorStart = text.match(/^(\\u001b\\[[0-9;]*m)/)?.[1] || ''\n const colorEnd = text.match(/(\\u001b\\[[0-9;]*m)$/)?.[1] || ''\n\n if (colorStart) {\n return colorStart + truncatedPlain + (colorEnd || '\\u001b[0m')\n }\n }\n\n return text.slice(0, maxLength - 3) + '...'\n}\n","import { Config } from '@/types/config'\n\n/**\n * default config\n */\nexport const defaultConfig: Config = {\n github: {\n defaultPeriod: 'daily',\n defaultLimit: 25\n },\n output: {\n defaultFormat: 'table',\n colorEnabled: true\n },\n ai: {\n enabled: false,\n defaultModel: 'gpt-4o-mini',\n summaryLength: 'medium'\n },\n cache: {\n enabled: true,\n ttl: 3600, // 1 hour\n maxSize: 100\n }\n}\n","import fs from 'fs'\nimport os from 'os'\nimport path from 'path'\n\nimport { Config, ConfigOptions } from '@/types/config'\n\nimport { defaultConfig } from './default'\n\n/**\n * Config Manager\n */\nexport class ConfigManager {\n private config: Config\n private configPath: string\n\n constructor(options?: ConfigOptions) {\n this.configPath = options?.configPath || path.join(os.homedir(), '.gh-explorer', 'config.json')\n this.config = this.loadConfig()\n }\n\n getConfig(): Config {\n return this.config\n }\n\n private loadConfig(): Config {\n try {\n if (fs.existsSync(this.configPath)) {\n const userConfig = JSON.parse(fs.readFileSync(this.configPath, 'utf-8'))\n return this.mergeConfig(defaultConfig, userConfig)\n }\n } catch (error) {\n console.error(\n `load config file failed: ${error instanceof Error ? error.message : String(error)}`\n )\n }\n\n return { ...defaultConfig }\n }\n\n private mergeConfig(defaultConfig: Config, userConfig: Partial): Config {\n const mergedConfig = { ...defaultConfig }\n\n if (userConfig.github) {\n mergedConfig.github = {\n ...mergedConfig.github,\n ...userConfig.github\n }\n }\n\n if (userConfig.output) {\n mergedConfig.output = {\n ...mergedConfig.output,\n ...userConfig.output\n }\n }\n\n if (userConfig.ai) {\n mergedConfig.ai = {\n ...mergedConfig.ai,\n ...userConfig.ai\n }\n }\n\n if (userConfig.cache) {\n mergedConfig.cache = {\n ...mergedConfig.cache,\n ...userConfig.cache\n }\n }\n\n return mergedConfig\n }\n}\n\nconst configManager = new ConfigManager()\n\nexport function getConfig(): Config {\n return configManager.getConfig()\n}\n","import { generateText } from 'ai'\nimport { createOpenAI } from '@ai-sdk/openai'\nimport { getConfig } from '@/config/manager'\nimport { Repository } from '@/types/github'\nimport { Metadata, MetadataEnrichOptions } from '@/types/metadata'\nimport { AIAnalysisResult } from '@/types/ai'\nimport chalk from 'chalk'\n\n/**\n * Create AI provider\n * Create OpenAI client based on configuration\n */\nexport function createAIProvider(model: string = 'gpt-4o-mini') {\n const config = getConfig()\n\n if (!config.ai?.enabled) {\n throw new Error(\n 'AI features are not enabled. Run `gh-explorer config set ai.enabled true` to enable.'\n )\n }\n\n if (!config.ai?.apiKey) {\n throw new Error(\n 'AI API Key not configured. Run `gh-explorer config set ai.apiKey YOUR_API_KEY` to configure.'\n )\n }\n\n const options: Record = {\n apiKey: config.ai.apiKey\n }\n\n if (config.ai.baseURL) {\n options.baseURL = config.ai.baseURL\n }\n\n return createOpenAI({\n apiKey: config.ai.apiKey,\n baseURL: config.ai.baseURL\n })(model)\n}\n\n/**\n * Generate text using AI\n * @param prompt The prompt text\n * @param systemPrompt System prompt\n * @param model Model name\n */\nexport async function generateAIText(\n prompt: string,\n systemPrompt: string = 'You are an expert technical analyst. Provide concise, objective, and accurate analysis following the requested format exactly.',\n model: string = 'gpt-4o-mini'\n): Promise {\n try {\n const aiModel = createAIProvider(model)\n\n const { text } = await generateText({\n model: aiModel,\n system: systemPrompt,\n prompt: prompt\n })\n\n return text\n } catch (error) {\n // Provide friendly error messages\n if ((error as Error).message.includes('API Key')) {\n console.error(\n '\\n' + chalk.red('× AI API Configuration Error:') + ' ' + (error as Error).message\n )\n console.error(chalk.blue('Tip: Use these commands to configure and enable AI:'))\n console.error(' gh-explorer config set ai.apiKey YOUR_API_KEY')\n console.error(' gh-explorer config set ai.enabled true\\n')\n } else if ((error as Error).message.includes('not enabled')) {\n console.error(\n '\\n' + chalk.yellow('! AI Features Not Enabled:') + ' ' + (error as Error).message\n )\n console.error(chalk.blue('Tip: Use this command to enable AI:'))\n console.error(' gh-explorer config set ai.enabled true\\n')\n } else {\n console.error(`AI generation failed: ${(error as Error).message}`)\n }\n\n throw error\n }\n}\n\n/**\n * Create metadata prompt with specified summary length\n * @param metadata Metadata\n * @param summaryLength Summary length\n * @returns Prompt string\n */\nfunction createMetadataPromptWithLength(metadata: Metadata, summaryLength: string): string {\n const lengthDescription =\n summaryLength === 'short'\n ? 'within 50 words'\n : summaryLength === 'medium'\n ? 'within 100 words'\n : 'within 200 words'\n\n let prompt = `\n Please analyze the following webpage metadata and provide a concise analysis:\n \n URL: ${metadata.url}\n Title: ${metadata.title || 'No title'}\n Description: ${metadata.description || 'No description'}\n `\n\n if (metadata.author) {\n prompt += `Author: ${metadata.author}\\n`\n }\n\n if (metadata.type) {\n prompt += `Type: ${metadata.type}\\n`\n }\n\n if (metadata.contentPreview) {\n prompt += `Content preview: ${metadata.contentPreview.slice(0, 1000)}...\\n`\n }\n\n prompt += `\n Please provide the following in JSON format:\n 1. aiSummary: Content summary ${lengthDescription}\n 2. keyPoints: 3-5 key points of the content (array)\n 3. category: Array of content categories (1-5 items)\n `\n\n return prompt\n}\n\n/**\n * Create repository prompt with specified summary length\n * @param repo Repository object\n * @param summaryLength Summary length\n * @returns Prompt string\n */\nfunction createRepoPromptWithLength(repo: Repository, summaryLength: string): string {\n const lengthDescription =\n summaryLength === 'short'\n ? 'within 50 words'\n : summaryLength === 'medium'\n ? 'within 100 words'\n : 'within 200 words'\n\n return `\n Please analyze the following GitHub repository information and provide a concise analysis:\n Repository: ${repo.author}/${repo.name}\n Description: ${repo.description || 'No description'}\n Language: ${repo.language || 'Unknown'}\n Stars: ${repo.stars}\n New stars this period: ${repo.starsInPeriod}\n \n Please provide the following in JSON format:\n 1. aiSummary: Repository summary ${lengthDescription}\n 2. keyPoints: Key points about this repository (array)\n 3. category: Array of repository categories (1-5 items)\n `\n}\n\n/**\n * Parse AI response\n * @param text Response text from AI\n * @returns Parsed AI result\n */\nfunction parseAIResponse(text: string): Partial {\n try {\n // Try to extract JSON from response\n const jsonMatch = text.match(/```json\\n([\\s\\S]*?)\\n```/) || text.match(/({[\\s\\S]*?})/)\n\n let result\n if (jsonMatch && jsonMatch[1]) {\n result = JSON.parse(jsonMatch[1])\n } else {\n // Try to parse entire response\n result = JSON.parse(text.trim())\n }\n\n // 确保 category 是数组\n if (result.category && !Array.isArray(result.category)) {\n result.category = [result.category]\n }\n\n return result\n } catch (error) {\n console.error('Failed to parse AI response:', error)\n\n // Return basic structure on failure\n return {\n aiSummary: 'Could not parse AI response',\n keyPoints: [],\n category: []\n }\n }\n}\n\n/**\n * Enrich metadata using AI\n * @param metadata Original metadata\n * @param options AI enrichment options\n * @returns Enriched metadata\n */\nexport async function enrichMetadataWithAI(\n metadata: Metadata,\n options: MetadataEnrichOptions\n): Promise {\n const config = getConfig()\n\n if (!config.ai.enabled) {\n return metadata\n }\n\n try {\n const prompt = createMetadataPromptWithLength(metadata, options.summaryLength)\n const aiText = await generateAIText(prompt)\n const enrichedData = parseAIResponse(aiText)\n\n return {\n ...metadata,\n ...enrichedData\n }\n } catch (error) {\n console.error(`AI enrichment failed: ${(error as Error).message}`)\n return metadata\n }\n}\n\n/**\n * Enrich repositories with AI\n * @param repositories Repository list\n * @param options AI enrichment options\n * @returns Enriched repository list\n */\nexport async function enrichWithAI(\n repositories: Repository[],\n options: MetadataEnrichOptions\n): Promise {\n const config = getConfig()\n\n if (!config.ai.enabled) {\n return repositories\n }\n\n const enrichPromises = repositories.map(async (repo) => {\n try {\n const prompt = createRepoPromptWithLength(repo, options.summaryLength)\n\n const aiText = await generateAIText(prompt)\n const enrichedData = parseAIResponse(aiText)\n\n return {\n ...repo,\n ...enrichedData\n }\n } catch (error) {\n console.error(\n `AI enrichment failed for repository ${repo.author}/${repo.name}: ${\n (error as Error).message\n }`\n )\n return repo\n }\n })\n\n return Promise.all(enrichPromises)\n}\n","import axios from 'axios'\nimport * as cheerio from 'cheerio'\n\nimport { Metadata, ExtractionOptions } from '../../types/metadata'\n\n/**\n * Extract metadata from URL\n * @param url URL address\n * @param options Extraction options\n * @returns Promise Metadata object\n */\nexport async function extractMetadata(url: string, options: ExtractionOptions): Promise {\n try {\n // Get page content\n const pageContent = await getPageContent(url, options.timeout)\n\n // Parse metadata\n const metadata = parseMetadata(url, pageContent, options)\n\n return metadata\n } catch (error) {\n throw new Error(`Failed to extract metadata: ${(error as Error).message}`)\n }\n}\n\n/**\n * Get page content\n * @param url URL address\n * @param timeout Timeout in milliseconds\n * @returns Promise Page HTML content\n */\nexport async function getPageContent(url: string, timeout = 30000): Promise {\n try {\n const response = await axios.get(url, {\n headers: {\n 'User-Agent': 'gh-explorer-cli/1.0',\n Accept: 'text/html,application/xhtml+xml,application/xml'\n },\n timeout\n })\n\n return response.data\n } catch (error) {\n if (axios.isAxiosError(error) && error.response) {\n throw new Error(`Failed to get content: HTTP status code ${error.response.status}`)\n }\n throw new Error(`Failed to get content: ${(error as Error).message}`)\n }\n}\n\n/**\n * Parse HTML to extract metadata\n * @param url Original URL\n * @param html HTML content\n * @param options Extraction options\n * @returns Metadata object\n */\nfunction parseMetadata(url: string, html: string, options: ExtractionOptions): Metadata {\n // Create initial metadata object\n const metadata: Metadata = {\n url,\n title: '',\n description: ''\n }\n\n // Load HTML\n const $ = cheerio.load(html)\n\n // Extract basic metadata\n metadata.title = $('title').text().trim() || ''\n metadata.description =\n $('meta[name=\"description\"]').attr('content') ||\n $('meta[property=\"og:description\"]').attr('content') ||\n ''\n\n // Extract other basic metadata\n metadata.author =\n $('meta[name=\"author\"]').attr('content') ||\n $('meta[property=\"article:author\"]').attr('content') ||\n undefined\n\n metadata.publisher = $('meta[property=\"og:site_name\"]').attr('content') || undefined\n\n metadata.type = $('meta[property=\"og:type\"]').attr('content') || undefined\n\n // Extract images (if needed)\n if (options.includeImages) {\n metadata.image =\n $('meta[property=\"og:image\"]').attr('content') ||\n $('meta[name=\"twitter:image\"]').attr('content') ||\n undefined\n\n // Extract website icon\n const iconLink =\n $('link[rel=\"icon\"]').attr('href') || $('link[rel=\"shortcut icon\"]').attr('href')\n\n if (iconLink) {\n // Handle relative URLs\n metadata.icon = iconLink.startsWith('http') ? iconLink : new URL(iconLink, url).toString()\n }\n }\n\n // Extract keywords and tags\n const keywords = $('meta[name=\"keywords\"]').attr('content')\n if (keywords) {\n metadata.keywords = keywords.split(',').map((k) => k.trim())\n }\n\n // Extract language\n metadata.language = $('html').attr('lang') || undefined\n\n // Extract date information\n const publishedTime = $('meta[property=\"article:published_time\"]').attr('content')\n if (publishedTime) {\n metadata.published = new Date(publishedTime)\n }\n\n const modifiedTime = $('meta[property=\"article:modified_time\"]').attr('content')\n if (modifiedTime) {\n metadata.modified = new Date(modifiedTime)\n }\n\n // Deep analysis (when depth is 'deep')\n if (options.depth === 'deep') {\n // Extract more content and structure information...\n extractDeepMetadata($, metadata)\n }\n\n return metadata\n}\n\n/**\n * Perform deep metadata extraction\n * @param $ Cheerio instance\n * @param metadata Metadata object\n */\nfunction extractDeepMetadata($: cheerio.CheerioAPI, metadata: Metadata): void {\n // Extract main content text (for AI analysis)\n const contentText: string[] = []\n\n // Try to find the main content area\n const mainContent = $('article, main, .content, #content, .article')\n\n if (mainContent.length > 0) {\n // Has explicit content area\n mainContent.find('p, h1, h2, h3, h4, h5, h6').each((_, element) => {\n const text = $(element).text().trim()\n if (text) contentText.push(text)\n })\n } else {\n // No explicit content area, try to get all paragraphs on the page\n $('p').each((_, element) => {\n const text = $(element).text().trim()\n if (text && text.length > 40) contentText.push(text) // Only get meaningful paragraphs\n })\n }\n\n // Limit content length to avoid excessive length\n metadata.contentPreview = contentText.join(' ').slice(0, 5000)\n\n // Try to extract tags or categories\n const tags: string[] = []\n $('a[rel=\"tag\"], .tags a, .categories a, .topics a').each((_, element) => {\n const tag = $(element).text().trim()\n if (tag) tags.push(tag)\n })\n\n if (tags.length > 0) {\n metadata.tags = tags\n }\n}\n","interface CacheItem {\n data: any\n expiry: number\n}\n\n// Memory cache\nconst memoryCache: Map = new Map()\n\n// Default cache configuration\nconst DEFAULT_TTL = 3600 // 1 hour\nconst DEFAULT_MAX_SIZE = 100\n\nexport class Cache {\n private enabled: boolean\n private maxSize: number\n\n constructor(enabled = true, maxSize = DEFAULT_MAX_SIZE) {\n this.enabled = enabled\n this.maxSize = maxSize\n }\n\n /**\n * Get data from cache\n * @param key Cache key\n * @returns Cached data or null\n */\n get(key: string): any | null {\n if (!this.enabled) return null\n\n const item = memoryCache.get(key)\n if (!item) return null\n\n // Check if expired\n if (Date.now() > item.expiry) {\n memoryCache.delete(key)\n return null\n }\n\n return item.data\n }\n\n /**\n * Store data to cache\n * @param key Cache key\n * @param data Cache data\n * @param ttlSeconds Cache time-to-live (seconds)\n */\n set(key: string, data: any, ttlSeconds = DEFAULT_TTL): void {\n if (!this.enabled) return\n\n // Calculate expiry time\n const expiry = Date.now() + ttlSeconds * 1000\n\n // Save to cache\n memoryCache.set(key, { data, expiry })\n\n // Clean up excess cache items\n if (memoryCache.size > this.maxSize) {\n this.prune()\n }\n }\n\n /**\n * Clear all cache\n */\n clear(): void {\n memoryCache.clear()\n }\n\n /**\n * Clean expired cache\n */\n private prune(): void {\n // If cache size doesn't exceed limit, no cleanup needed\n if (memoryCache.size <= this.maxSize) return\n\n // Get all cache entries, sorted by expiry time\n const entries = Array.from(memoryCache.entries()).sort((a, b) => a[1].expiry - b[1].expiry)\n\n // Calculate number of entries to delete\n const deleteCount = memoryCache.size - this.maxSize\n\n // Delete entries that expire earliest\n for (let i = 0; i < deleteCount; i++) {\n memoryCache.delete(entries[i][0])\n }\n }\n}\n\n// Export default instance\nexport const cache = new Cache()\n\n// Convenience functions\nexport function cacheGet(key: string): any | null {\n return cache.get(key)\n}\n\nexport function cacheSet(key: string, data: any, ttlSeconds = DEFAULT_TTL): void {\n cache.set(key, data, ttlSeconds)\n}\n\nexport function clearCache(): void {\n cache.clear()\n}\n","import axios from 'axios'\nimport * as cheerio from 'cheerio'\n\nimport { Repository, TrendOptions } from '../../types/github'\nimport { cacheGet, cacheSet } from '../../utils/cache'\n\n/**\n * Get GitHub trending repositories\n * @param options Trending options\n * @returns Promise Trending repositories list\n */\nexport async function getTrendingRepos(options: TrendOptions): Promise {\n const { language, since = 'daily' } = options\n\n const cacheKey = `trending:${language || 'all'}:${since}`\n\n const cachedData = cacheGet(cacheKey)\n\n if (cachedData) {\n return cachedData as Repository[]\n }\n\n let url = 'https://github.com/trending'\n if (language) {\n url += `/${encodeURIComponent(language)}`\n }\n url += `?since=${since}`\n\n try {\n const response = await axios.get(url, {\n headers: {\n 'User-Agent': 'gh-explorer-cli'\n }\n })\n\n const repositories = parseGitHubTrendingHtml(response.data)\n\n cacheSet(cacheKey, repositories, 3600)\n\n return repositories\n } catch (error) {\n throw new Error(`获取趋势仓库失败: ${error instanceof Error ? error.message : String(error)}`)\n }\n}\n\n/**\n * Parse GitHub trending page HTML\n * @param html HTML Content\n * @returns Repository[] Repository list\n */\nfunction parseGitHubTrendingHtml(html: string): Repository[] {\n const $ = cheerio.load(html)\n const repositories: Repository[] = []\n\n $('article.Box-row').each((index, element) => {\n const titleElement = $(element).find('h2.h3 a')\n const relativeUrl = titleElement.attr('href') || ''\n const [author, name] = relativeUrl.substring(1).split('/')\n\n const description = $(element).find('p').text().trim()\n\n const languageElement = $(element).find('[itemprop=\"programmingLanguage\"]')\n const language = languageElement.text().trim()\n\n const languageColorElement = $(element).find('.repo-language-color')\n const languageColor = languageColorElement\n .attr('style')\n ?.replace('background-color:', '')\n .trim()\n\n const starsElement = $(element).find('a[href$=\"/stargazers\"]')\n const stars = parseNumber(starsElement.text().trim())\n\n const forksElement = $(element).find('a[href$=\"/forks\"]')\n const forks = parseNumber(forksElement.text().trim())\n\n const starsInPeriodElement = $(element).find('.d-inline-block.float-sm-right')\n const starsInPeriodText = starsInPeriodElement.text().trim()\n const starsInPeriod = parseNumber(\n starsInPeriodText.replace(/\\s+stars\\s+today|this\\s+week|this\\s+month/, '')\n )\n\n const avatarElement = $(element).find('img.avatar')\n const avatar = avatarElement.attr('src')\n\n repositories.push({\n name,\n author,\n rank: index + 1,\n url: `https://github.com${relativeUrl}`,\n description,\n language,\n languageColor,\n stars,\n forks,\n starsInPeriod,\n avatar\n })\n })\n\n return repositories\n}\n\n/**\n * Parse number string\n * @param text Number string\n * @returns Number\n */\nfunction parseNumber(text: string): number {\n if (!text) return 0\n\n if (text.includes('k')) {\n return parseFloat(text.replace('k', '')) * 1000\n }\n\n return parseInt(text.replace(/,/g, ''), 10) || 0\n}\n","/**\n * GhExplorer - GitHub trending analysis tool\n */\n\n// Import services and types\nimport { formatOutput } from './formatters/formatter'\nimport { enrichMetadataWithAI, enrichWithAI } from './services/ai'\nimport { extractMetadata } from './services/metadata/extractor'\nimport { getTrendingRepos } from './services/github/scraper'\nimport { Repository, TrendOptions } from './types/github'\nimport { OutputFormat } from './types/index'\nimport { Metadata, ExtractionOptions, MetadataEnrichOptions } from './types/metadata'\n\n// Export types and services\nexport { Metadata, ExtractionOptions, MetadataEnrichOptions } from './types/metadata'\nexport { TrendOptions, OutputFormat } from './types/index'\nexport { Repository } from './types/github'\nexport { enrichMetadataWithAI, enrichWithAI } from './services/ai'\nexport { extractMetadata } from './services/metadata/extractor'\nexport { formatOutput, formatMetadataOutput } from './formatters/formatter'\nexport { getTrendingRepos } from './services/github/scraper'\n\n/**\n * Get GitHub trending repositories data\n * @param options Trend options\n * @returns Promise Trending repositories data\n */\nexport async function ghExplorer(options: TrendOptions = {}): Promise {\n return getTrendingRepos(options)\n}\n\n/**\n * Get and format GitHub trending repositories data\n * @param options Trend options\n * @param format Output format\n * @returns Promise Formatted trending data\n */\nexport async function ghExplorerFormatted(\n options: TrendOptions = {},\n format: OutputFormat = 'json'\n): Promise {\n const repositories = await getTrendingRepos(options)\n\n return formatOutput(repositories, {\n format,\n colorEnabled: true,\n period: options.since || 'daily',\n language: options.language\n })\n}\n\n/**\n * Analyze URL metadata\n * @param url URL address\n * @param options Extraction options\n * @returns Promise Metadata object\n */\nexport async function urlMetadata(\n url: string,\n options: Partial = {}\n): Promise {\n const extractionOptions: ExtractionOptions = {\n depth: options.depth || 'normal',\n includeImages: options.includeImages !== undefined ? options.includeImages : true,\n timeout: options.timeout || 30000\n }\n\n return extractMetadata(url, extractionOptions)\n}\n\n/**\n * Analyze URL metadata and use AI to enhance\n * @param url URL address\n * @param extractOptions Extraction options\n * @param enrichOptions AI enrichment options\n * @returns Promise Enriched metadata object\n */\nexport async function urlMetadataEnriched(\n url: string,\n extractOptions: Partial = {},\n enrichOptions: Partial = {}\n): Promise {\n const metadata = await urlMetadata(url, extractOptions)\n\n const metadataEnrichOptions: MetadataEnrichOptions = {\n summaryLength: enrichOptions.summaryLength || 'medium'\n }\n\n return enrichMetadataWithAI(metadata, metadataEnrichOptions)\n}\n\n/**\n * Get GitHub trending repositories with AI enhancement\n * @param options Trend options\n * @param enrichOptions AI enrichment options\n * @returns Promise Enhanced trending repositories data\n */\nexport async function ghExplorerEnriched(\n options: TrendOptions = {},\n enrichOptions: Partial = {}\n): Promise {\n const repositories = await getTrendingRepos(options)\n\n const aiOptions: MetadataEnrichOptions = {\n summaryLength: enrichOptions.summaryLength || 'medium'\n }\n\n return enrichWithAI(repositories, aiOptions)\n}\n"]}