weavebot-core/dist/processors.mjs.map

Generic content processing framework for web scraping and AI extraction

{"version":3,"sources":["../src/processors/web-scraper.ts","../src/types/index.ts","../src/interfaces/web-scraper-plugin.ts","../src/utils/index.ts","../src/processors/ai-extractor.ts"],"sourcesContent":["/**\n * Generic web scraper with plugin support\n * Platform-specific logic is handled by plugins\n */\n\nimport { chromium, Page, Browser } from \"playwright\";\nimport * as cheerio from \"cheerio\";\nimport {\n  ProcessorPlugin,\n  ProcessingStep,\n  ProcessingContext,\n  WebScrapingParams,\n  ScrapedContent,\n  ScrapingError,\n} from \"../types\";\nimport {\n  WebScraperPlugin,\n  WebScrapingConfig,\n  PluginContext,\n  WebScraperPluginRegistry,\n} from \"../interfaces/web-scraper-plugin\";\nimport { defaultLogger } from \"../utils\";\n\nexport interface WebScraperConfig {\n  /**\n   * Default timeout for page operations\n   */\n  defaultTimeout?: number;\n\n  /**\n   * Whether to run in headless mode\n   */\n  headless?: boolean;\n\n  /**\n   * Default viewport size\n   */\n  defaultViewport?: {\n    width: number;\n    height: number;\n  };\n\n  /**\n   * Plugins to register\n   */\n  plugins?: WebScraperPlugin[];\n}\n\nexport class WebScraperProcessor implements ProcessorPlugin {\n  public readonly name = \"web-scraper\";\n  public readonly description = \"Scrapes web content with configurable strategies\";\n\n  private config: WebScraperConfig;\n  private pluginRegistry: WebScraperPluginRegistry;\n  private browser: Browser | null = null;\n\n  constructor(config: WebScraperConfig = {}) {\n    this.config = config;\n    this.pluginRegistry = new WebScraperPluginRegistry();\n\n    // Register plugins\n    if (config.plugins) {\n      config.plugins.forEach((plugin) => this.pluginRegistry.register(plugin));\n    }\n  }\n\n  async execute(\n    params: WebScrapingParams,\n    context: ProcessingContext = {}\n  ): Promise<ScrapedContent> {\n    const { url, strategy, options } = params;\n    const startTime = Date.now();\n\n    try {\n      defaultLogger.info(\"Starting web scraping\", {\n        url,\n        strategy: strategy || \"auto\",\n        ...context,\n      });\n\n      // Find applicable plugin\n      const plugin = this.pluginRegistry.findPlugin(url);\n      const pluginConfig = plugin?.getConfig(url);\n\n      // Merge configurations\n      const finalConfig: WebScrapingConfig = {\n        strategy: strategy || pluginConfig?.strategy || \"auto\",\n        timeout: options?.timeout || pluginConfig?.timeout || this.config.defaultTimeout || 30000,\n        viewport: this.config.defaultViewport || pluginConfig?.viewport,\n        waitSelectors: options?.waitForSelector ? [options.waitForSelector] : pluginConfig?.waitSelectors,\n        headers: options?.userAgent ? { 'User-Agent': options.userAgent } : pluginConfig?.headers,\n        blockResources: pluginConfig?.blockResources,\n        additionalWait: pluginConfig?.additionalWait,\n      };\n\n      // Scrape content\n      const content = await this.scrapeWithConfig(url, finalConfig, plugin);\n\n      const duration = Date.now() - startTime;\n\n      defaultLogger.info(\"Web scraping completed\", {\n        url,\n        plugin: plugin?.name || \"none\",\n        duration,\n        ...context,\n      });\n\n      return content;\n    } catch (error) {\n      const errorMessage = error instanceof Error ? error.message : String(error);\n\n      defaultLogger.error(\"Web scraping failed\", {\n        error: errorMessage,\n        url,\n        ...context,\n      });\n\n      throw new ScrapingError(`Failed to scrape ${url}: ${errorMessage}`, {\n        ...context,\n      });\n    }\n  }\n\n  private async scrapeWithConfig(\n    url: string,\n    config: WebScrapingConfig,\n    plugin: WebScraperPlugin | null\n  ): Promise<ScrapedContent> {\n    const page = await this.getPage();\n\n    try {\n      // Set viewport if specified\n      if (config.viewport) {\n        await page.setViewportSize(config.viewport);\n      }\n\n      // Set custom headers if specified\n      if (config.headers) {\n        await page.setExtraHTTPHeaders(config.headers);\n      }\n\n      // Block resources if specified\n      if (config.blockResources) {\n        await page.route(\"**/*\", (route) => {\n          const resourceType = route.request().resourceType();\n          if ([\"image\", \"stylesheet\", \"font\", \"media\"].includes(resourceType)) {\n            route.abort();\n          } else {\n            route.continue();\n          }\n        });\n      }\n\n      // Navigate to the page\n      await page.goto(url, {\n        waitUntil: config.strategy === \"spa\" ? \"networkidle\" : \"domcontentloaded\",\n        timeout: config.timeout,\n      });\n\n      // Create plugin context\n      const context: PluginContext = {\n        url,\n        logger: defaultLogger,\n        state: {},\n      };\n\n      // Run plugin's beforeExtract if available\n      if (plugin?.beforeExtract) {\n        await plugin.beforeExtract(page, context);\n      }\n\n      // Wait for selectors if specified\n      if (config.waitSelectors && config.waitSelectors.length > 0) {\n        await Promise.all(\n          config.waitSelectors.map((selector) =>\n            page.waitForSelector(selector, { timeout: 5000 }).catch(() => {})\n          )\n        );\n      }\n\n      // Additional wait if specified\n      if (config.additionalWait) {\n        await page.waitForTimeout(config.additionalWait);\n      }\n\n      // Extract content\n      const content = await this.extractContent(page, url);\n\n      // Extract plugin metadata if available\n      if (plugin?.extractMetadata) {\n        const metadata = await plugin.extractMetadata(page, context);\n        content.metadata = { ...(content.metadata || {}), ...metadata };\n      }\n\n      // Post-process with plugin if available\n      const finalContent = plugin?.postProcess\n        ? plugin.postProcess(content, context)\n        : content;\n\n      return finalContent;\n    } finally {\n      await page.close();\n    }\n  }\n\n  private async extractContent(page: Page, url: string): Promise<ScrapedContent> {\n    const html = await page.content();\n    const $ = cheerio.load(html);\n\n    // Remove script and style elements\n    $(\"script, style, noscript\").remove();\n\n    // Extract text content\n    const text = $(\"body\")\n      .text()\n      .replace(/\\s+/g, \" \")\n      .trim();\n\n    // Extract title\n    const title = $(\"title\").text() || $(\"h1\").first().text() || \"\";\n\n    // Extract basic metadata\n    const metadata: Record<string, any> = {\n      description: $('meta[name=\"description\"]').attr(\"content\") || \"\",\n      keywords: $('meta[name=\"keywords\"]').attr(\"content\") || \"\",\n      author: $('meta[name=\"author\"]').attr(\"content\") || \"\",\n      ogTitle: $('meta[property=\"og:title\"]').attr(\"content\") || \"\",\n      ogDescription: $('meta[property=\"og:description\"]').attr(\"content\") || \"\",\n      ogImage: $('meta[property=\"og:image\"]').attr(\"content\") || \"\",\n    };\n\n    // Extract JSON-LD if present\n    const jsonLdScripts = $('script[type=\"application/ld+json\"]');\n    if (jsonLdScripts.length > 0) {\n      metadata.jsonLd = [];\n      jsonLdScripts.each((_, element) => {\n        try {\n          const jsonLd = JSON.parse($(element).html() || \"{}\");\n          metadata.jsonLd.push(jsonLd);\n        } catch (e) {\n          // Invalid JSON-LD, skip\n        }\n      });\n    }\n\n    return {\n      url,\n      title,\n      text,\n      html,\n      metadata,\n      extractedAt: new Date(),\n    };\n  }\n\n  private async getPage(): Promise<Page> {\n    if (!this.browser) {\n      this.browser = await chromium.launch({\n        headless: this.config.headless !== false,\n      });\n    }\n\n    return await this.browser.newPage();\n  }\n\n  async cleanup(): Promise<void> {\n    if (this.browser) {\n      await this.browser.close();\n      this.browser = null;\n    }\n  }\n\n  /**\n   * Register a plugin for platform-specific handling\n   */\n  registerPlugin(plugin: WebScraperPlugin): void {\n    this.pluginRegistry.register(plugin);\n  }\n}\n\n/**\n * Factory function to create a web scraper\n */\nexport function createWebScraper(\n  config?: WebScraperConfig\n): WebScraperProcessor {\n  return new WebScraperProcessor(config);\n}","import { z } from 'zod';\n\n// Core library configuration\nexport interface ProcessorConfig {\n  defaultSchema?: string;\n  processors?: Record<string, ProcessorPlugin>;\n  storage?: Record<string, StorageAdapter>;\n  logger?: Logger;\n}\n\n// Web scraping strategies\nexport type ScrapingStrategy = 'static' | 'spa' | 'auto';\n\nexport interface ScrapingOptions {\n  strategy?: ScrapingStrategy;\n  timeout?: number;\n  waitForSelector?: string;\n  userAgent?: string;\n  enableJavaScript?: boolean;\n  retries?: number;\n}\n\n// Processing pipeline types\nexport interface ProcessingContext {\n  url?: string;\n  data?: unknown;\n  metadata?: Record<string, unknown>;\n  userId?: string;\n  sessionId?: string;\n  stepIndex?: number;\n  stepName?: string;\n  pipeline?: string;\n  [key: string]: unknown;\n}\n\nexport interface ProcessingStep {\n  name: string;\n  execute(input: unknown, context: ProcessingContext): Promise<unknown>;\n}\n\nexport interface ProcessorPlugin {\n  name: string;\n  description: string;\n  execute(params: unknown, context: ProcessingContext): Promise<unknown>;\n}\n\n// Storage adapter interface\nexport interface StorageRecord {\n  id: string;\n  fields: Record<string, unknown>;\n  createdTime: string;\n  updatedTime?: string;\n}\n\nexport interface StorageAdapter {\n  name: string;\n  initialize(config: Record<string, unknown>): Promise<void>;\n  create(data: unknown, schema?: string): Promise<StorageRecord>;\n  update(id: string, data: Partial<unknown>): Promise<StorageRecord>;\n  fetch(filter?: StorageFilter): Promise<StorageRecord[]>;\n  delete(id: string): Promise<void>;\n  createTable?(schema: z.ZodType, tableName: string): Promise<void>;\n}\n\nexport interface StorageFilter {\n  schema?: string;\n  limit?: number;\n  offset?: number;\n  where?: Record<string, unknown>;\n  orderBy?: { field: string; direction: 'asc' | 'desc' }[];\n}\n\n// Pipeline orchestration\nexport interface Pipeline {\n  name: string;\n  steps: ProcessingStep[];\n  execute(input: unknown, context: ProcessingContext): Promise<unknown>;\n}\n\nexport interface PipelineBuilder {\n  addStep(step: ProcessingStep): PipelineBuilder;\n  build(): Pipeline;\n}\n\n// Tool parameter types\nexport interface WebScrapingParams {\n  url: string;\n  strategy?: ScrapingStrategy;\n  options?: ScrapingOptions;\n}\n\nexport interface AIExtractionParams {\n  content: ScrapedContent;\n  schema: string | z.ZodType;\n  url?: string;\n  model?: string;\n}\n\nexport interface StorageParams {\n  data: unknown;\n  schema: string;\n  adapter?: string;\n}\n\n// Content processing types\nexport interface ScrapedContent {\n  url: string;\n  title: string;\n  text: string;\n  html: string;\n  metadata: Record<string, any>;\n  extractedAt: Date;\n}\n\n// Error types\nexport class WeaveBotError extends Error {\n  public readonly type: string;\n  public readonly context: Record<string, unknown>;\n\n  constructor(message: string, type: string, context: Record<string, unknown> = {}) {\n    super(message);\n    this.name = 'WeaveBotError';\n    this.type = type;\n    this.context = context;\n  }\n}\n\nexport class ScrapingError extends WeaveBotError {\n  constructor(message: string, context: Record<string, unknown> = {}) {\n    super(message, 'SCRAPING_FAILED', context);\n    this.name = 'ScrapingError';\n  }\n}\n\nexport class ExtractionError extends WeaveBotError {\n  constructor(message: string, context: Record<string, unknown> = {}) {\n    super(message, 'EXTRACTION_FAILED', context);\n    this.name = 'ExtractionError';\n  }\n}\n\nexport class ValidationError extends WeaveBotError {\n  constructor(message: string, context: Record<string, unknown> = {}) {\n    super(message, 'VALIDATION_FAILED', context);\n    this.name = 'ValidationError';\n  }\n}\n\nexport class StorageError extends WeaveBotError {\n  constructor(message: string, context: Record<string, unknown> = {}) {\n    super(message, 'STORAGE_FAILED', context);\n    this.name = 'StorageError';\n  }\n}\n\nexport class PipelineError extends WeaveBotError {\n  constructor(message: string, context: Record<string, unknown> = {}) {\n    super(message, 'PIPELINE_FAILED', context);\n    this.name = 'PipelineError';\n  }\n}\n\n// Logging interface\nexport interface Logger {\n  debug(message: string, context?: Record<string, unknown>): void;\n  info(message: string, context?: Record<string, unknown>): void;\n  warn(message: string, context?: Record<string, unknown>): void;\n  error(message: string, context?: Record<string, unknown>): void;\n  time(operation: string, context?: Record<string, unknown>): () => void;\n}\n\nexport interface LogContext {\n  userId?: string;\n  sessionId?: string;\n  url?: string;\n  operation?: string;\n  duration?: number;\n  [key: string]: unknown;\n}\n\n// Input/Output types for processors\nexport interface ProcessorInput {\n  type: 'url' | 'text' | 'file';\n  data: string;\n  schema?: string;\n  options?: Record<string, unknown>;\n}\n\nexport interface ProcessorResult {\n  success: boolean;\n  data?: unknown;\n  error?: {\n    type: string;\n    message: string;\n    context?: Record<string, unknown>;\n  };\n  metadata: {\n    processingTime: number;\n    strategy?: string;\n    model?: string;\n    [key: string]: unknown;\n  };\n}\n\n// Command system types\nexport interface CommandContext {\n  userId: string;\n  sessionId?: string;\n  platform: string;\n  args: string[];\n  metadata?: Record<string, unknown>;\n}\n\nexport interface CommandHandler {\n  command: string;\n  description: string;\n  execute(context: CommandContext): Promise<CommandResult>;\n}\n\nexport interface CommandResult {\n  success: boolean;\n  message: string;\n  data?: unknown;\n  error?: string;\n}\n\n// Newsletter generation types\nexport interface NewsletterOptions {\n  startDate?: Date;\n  endDate?: Date;\n  maxEvents?: number;\n  maxUpdates?: number;\n  includeUpcoming?: boolean;\n  template?: string;\n}","/**\n * Plugin interface for web scraper\n * Allows platform-specific handling without hardcoding in the core library\n */\n\nimport { Page } from \"playwright\";\n\nexport interface WebScraperPlugin {\n  /**\n   * Unique name for the plugin\n   */\n  name: string;\n\n  /**\n   * Check if this plugin should handle the given URL\n   */\n  canHandle(url: string): boolean;\n\n  /**\n   * Get scraping configuration for this URL\n   */\n  getConfig(url: string): WebScrapingConfig;\n\n  /**\n   * Optional: Handle page-specific interactions before content extraction\n   */\n  beforeExtract?(page: Page, context: PluginContext): Promise<void>;\n\n  /**\n   * Optional: Extract additional metadata specific to this platform\n   */\n  extractMetadata?(page: Page, context: PluginContext): Promise<Record<string, any>>;\n\n  /**\n   * Optional: Post-process the extracted content\n   */\n  postProcess?(content: ScrapedContent, context: PluginContext): ScrapedContent;\n}\n\nexport interface WebScrapingConfig {\n  /**\n   * Scraping strategy to use\n   */\n  strategy: \"static\" | \"spa\" | \"auto\";\n\n  /**\n   * Selectors to wait for before extraction\n   */\n  waitSelectors?: string[];\n\n  /**\n   * Maximum time to wait in milliseconds\n   */\n  timeout?: number;\n\n  /**\n   * Custom headers to send\n   */\n  headers?: Record<string, string>;\n\n  /**\n   * Viewport configuration\n   */\n  viewport?: {\n    width: number;\n    height: number;\n  };\n\n  /**\n   * Whether to block resources (images, stylesheets, etc)\n   */\n  blockResources?: boolean;\n\n  /**\n   * Additional wait time after page load\n   */\n  additionalWait?: number;\n}\n\nexport interface PluginContext {\n  /**\n   * Original URL being scraped\n   */\n  url: string;\n\n  /**\n   * Logger instance\n   */\n  logger: any;\n\n  /**\n   * Shared state between plugins\n   */\n  state?: Record<string, any>;\n}\n\nexport interface ScrapedContent {\n  url: string;\n  title: string;\n  text: string;\n  html: string;\n  metadata: Record<string, any>;\n  extractedAt: Date;\n}\n\n/**\n * Registry for web scraper plugins\n */\nexport class WebScraperPluginRegistry {\n  private plugins: WebScraperPlugin[] = [];\n\n  register(plugin: WebScraperPlugin): void {\n    this.plugins.push(plugin);\n  }\n\n  findPlugin(url: string): WebScraperPlugin | null {\n    return this.plugins.find((plugin) => plugin.canHandle(url)) || null;\n  }\n\n  getAll(): WebScraperPlugin[] {\n    return [...this.plugins];\n  }\n}","import { Logger as LoggerInterface, LogContext } from '../types';\n\nexport enum LogLevel {\n  DEBUG = 0,\n  INFO = 1,\n  WARN = 2,\n  ERROR = 3,\n}\n\nexport interface LogEntry {\n  timestamp: string;\n  level: LogLevel;\n  message: string;\n  context?: LogContext;\n  error?: Error;\n}\n\nexport class Logger implements LoggerInterface {\n  private logLevel: LogLevel;\n\n  constructor(level: string = 'info') {\n    this.logLevel = this.parseLogLevel(level);\n    \n    // Configure console output for different environments\n    if (process.env.NODE_ENV === 'production') {\n      // In production, use structured JSON logging\n      this.setupProductionLogging();\n    }\n  }\n\n  private parseLogLevel(level: string): LogLevel {\n    switch (level.toLowerCase()) {\n      case 'debug': return LogLevel.DEBUG;\n      case 'info': return LogLevel.INFO;\n      case 'warn': return LogLevel.WARN;\n      case 'error': return LogLevel.ERROR;\n      default: return LogLevel.INFO;\n    }\n  }\n\n  private setupProductionLogging() {\n    // Override console methods for structured logging in production\n    const originalLog = console.log;\n    const originalWarn = console.warn;\n    const originalError = console.error;\n\n    console.log = (...args) => {\n      if (typeof args[0] === 'object' && args[0].level !== undefined) {\n        originalLog(JSON.stringify(args[0]));\n      } else {\n        originalLog(...args);\n      }\n    };\n\n    console.warn = (...args) => {\n      if (typeof args[0] === 'object' && args[0].level !== undefined) {\n        originalWarn(JSON.stringify(args[0]));\n      } else {\n        originalWarn(...args);\n      }\n    };\n\n    console.error = (...args) => {\n      if (typeof args[0] === 'object' && args[0].level !== undefined) {\n        originalError(JSON.stringify(args[0]));\n      } else {\n        originalError(...args);\n      }\n    };\n  }\n\n  private shouldLog(level: LogLevel): boolean {\n    return level >= this.logLevel;\n  }\n\n  private createLogEntry(level: LogLevel, message: string, context?: LogContext, error?: Error): LogEntry {\n    return {\n      timestamp: new Date().toISOString(),\n      level,\n      message,\n      context: context ? this.sanitizeContext(context) : undefined,\n      error: error ? {\n        name: error.name,\n        message: error.message,\n        stack: error.stack\n      } as any : undefined\n    };\n  }\n\n  private sanitizeContext(context: LogContext): LogContext {\n    const sanitized = { ...context };\n    \n    // Remove sensitive information\n    const sensitiveKeys = ['password', 'token', 'key', 'secret', 'apikey'];\n    \n    Object.keys(sanitized).forEach(key => {\n      if (sensitiveKeys.some(sensitive => key.toLowerCase().includes(sensitive))) {\n        sanitized[key] = '[REDACTED]';\n      }\n    });\n\n    return sanitized;\n  }\n\n  private formatLogEntry(entry: LogEntry): string {\n    const levelNames = {\n      [LogLevel.DEBUG]: 'DEBUG',\n      [LogLevel.INFO]: 'INFO',\n      [LogLevel.WARN]: 'WARN',\n      [LogLevel.ERROR]: 'ERROR'\n    };\n\n    let formatted = `[${entry.timestamp}] ${levelNames[entry.level]}: ${entry.message}`;\n    \n    if (entry.context && Object.keys(entry.context).length > 0) {\n      formatted += ` | Context: ${JSON.stringify(entry.context)}`;\n    }\n    \n    if (entry.error) {\n      formatted += ` | Error: ${entry.error.message}`;\n      if (entry.error.stack && this.logLevel === LogLevel.DEBUG) {\n        formatted += `\\nStack: ${entry.error.stack}`;\n      }\n    }\n\n    return formatted;\n  }\n\n  private output(entry: LogEntry) {\n    if (process.env.NODE_ENV === 'production') {\n      // Structured logging for production\n      const structuredLog = {\n        timestamp: entry.timestamp,\n        level: entry.level,\n        message: entry.message,\n        ...entry.context,\n        error: entry.error\n      };\n\n      switch (entry.level) {\n        case LogLevel.ERROR:\n          console.error(structuredLog);\n          break;\n        case LogLevel.WARN:\n          console.warn(structuredLog);\n          break;\n        default:\n          console.log(structuredLog);\n      }\n    } else {\n      // Human-readable logging for development\n      const formatted = this.formatLogEntry(entry);\n      \n      switch (entry.level) {\n        case LogLevel.ERROR:\n          console.error(`\\x1b[31m${formatted}\\x1b[0m`); // Red\n          break;\n        case LogLevel.WARN:\n          console.warn(`\\x1b[33m${formatted}\\x1b[0m`); // Yellow\n          break;\n        case LogLevel.INFO:\n          console.log(`\\x1b[36m${formatted}\\x1b[0m`); // Cyan\n          break;\n        case LogLevel.DEBUG:\n          console.log(`\\x1b[90m${formatted}\\x1b[0m`); // Gray\n          break;\n      }\n    }\n  }\n\n  debug(message: string, context?: LogContext) {\n    if (this.shouldLog(LogLevel.DEBUG)) {\n      const entry = this.createLogEntry(LogLevel.DEBUG, message, context);\n      this.output(entry);\n    }\n  }\n\n  info(message: string, context?: LogContext) {\n    if (this.shouldLog(LogLevel.INFO)) {\n      const entry = this.createLogEntry(LogLevel.INFO, message, context);\n      this.output(entry);\n    }\n  }\n\n  warn(message: string, context?: LogContext) {\n    if (this.shouldLog(LogLevel.WARN)) {\n      const entry = this.createLogEntry(LogLevel.WARN, message, context);\n      this.output(entry);\n    }\n  }\n\n  error(message: string, contextOrError?: LogContext | Error, error?: Error) {\n    if (this.shouldLog(LogLevel.ERROR)) {\n      let context: LogContext | undefined;\n      let actualError: Error | undefined;\n\n      if (contextOrError instanceof Error) {\n        actualError = contextOrError;\n      } else {\n        context = contextOrError;\n        actualError = error;\n      }\n\n      const entry = this.createLogEntry(LogLevel.ERROR, message, context, actualError);\n      this.output(entry);\n    }\n  }\n\n  // Performance logging utility\n  time(label: string, context?: LogContext): () => void {\n    const startTime = Date.now();\n    \n    this.debug(`Timer started: ${label}`, context);\n    \n    return () => {\n      const duration = Date.now() - startTime;\n      this.info(`Timer ended: ${label}`, { ...context, duration });\n    };\n  }\n}\n\n// Create default logger instance\nexport const createLogger = (level?: string): Logger => {\n  return new Logger(level || process.env.LOG_LEVEL || 'info');\n};\n\n// Default logger instance\nexport const defaultLogger = createLogger();\n\n// Utility functions\nexport const isValidUrl = (string: string): boolean => {\n  try {\n    new URL(string);\n    return true;\n  } catch (_) {\n    return false;\n  }\n};\n\nexport const sanitizeInput = (input: string): string => {\n  // Basic sanitization to prevent injection attacks\n  return input\n    .replace(/[<>]/g, '') // Remove potential HTML tags\n    .replace(/javascript:/gi, '') // Remove javascript: protocols\n    .trim();\n};\n\nexport const sleep = (ms: number): Promise<void> => {\n  return new Promise(resolve => setTimeout(resolve, ms));\n};\n\nexport const retry = async <T>(\n  fn: () => Promise<T>,\n  retries: number = 3,\n  delay: number = 1000\n): Promise<T> => {\n  try {\n    return await fn();\n  } catch (error) {\n    if (retries > 0) {\n      await sleep(delay);\n      return retry(fn, retries - 1, delay * 2); // Exponential backoff\n    }\n    throw error;\n  }\n};\n\nexport const formatDuration = (ms: number): string => {\n  if (ms < 1000) return `${ms}ms`;\n  if (ms < 60000) return `${(ms / 1000).toFixed(1)}s`;\n  return `${(ms / 60000).toFixed(1)}m`;\n};\n\nexport const truncateText = (text: string, maxLength: number = 100): string => {\n  if (text.length <= maxLength) return text;\n  return text.substring(0, maxLength - 3) + '...';\n};","/**\n * Generic, schema-driven AI extraction processor\n * This processor is completely agnostic to the type of content being extracted\n */\n\nimport { generateObject } from \"ai\";\nimport { openai } from \"@ai-sdk/openai\";\nimport { google } from \"@ai-sdk/google\";\nimport { z } from \"zod\";\nimport {\n  ProcessorPlugin,\n  ProcessingStep,\n  ProcessingContext,\n  AIExtractionParams,\n  ScrapedContent,\n  ExtractionError,\n} from \"../types\";\nimport { defaultLogger } from \"../utils\";\n\nexport interface AIExtractionConfig {\n  provider?: \"openai\" | \"google\";\n  apiKey?: string;\n  openaiApiKey?: string; // Deprecated, kept for backward compatibility\n  model?: string;\n  temperature?: number;\n}\n\nexport interface GenericExtractionConfig {\n  schema: z.ZodType<any>;\n  systemPrompt: string;\n  userPromptTemplate: string;\n  examples?: Array<{\n    input: string;\n    output: any;\n  }>;\n  postProcess?: (data: any) => any;\n  temperature?: number;\n}\n\nexport class AIExtractionProcessor implements ProcessorPlugin {\n  public readonly name = \"ai-extractor\";\n  public readonly description = \"Extracts structured data from content using AI models\";\n\n  private model: any;\n  private config: AIExtractionConfig;\n  private extractionConfigs = new Map<string, GenericExtractionConfig>();\n\n  constructor(config: AIExtractionConfig) {\n    this.config = config;\n    this.model = this.createModel(config);\n  }\n\n  private createModel(config: AIExtractionConfig): any {\n    const provider = config.provider || \"openai\";\n    const apiKey = config.apiKey || \"\";\n\n    // Set environment variable for Google if needed\n    if (provider === \"google\" && apiKey) {\n      process.env.GOOGLE_GENERATIVE_AI_API_KEY = apiKey;\n    }\n\n    switch (provider) {\n      case \"openai\":\n        return openai(config.model || \"gpt-4o\");\n      case \"google\":\n        return google(config.model || \"gemini-2.5-flash\");\n      default:\n        throw new Error(`Unsupported AI provider: ${provider}`);\n    }\n  }\n\n  /**\n   * Register a custom extraction configuration for a schema type\n   */\n  registerExtractor(schemaName: string, config: GenericExtractionConfig): void {\n    this.extractionConfigs.set(schemaName, config);\n  }\n\n  async execute(\n    params: AIExtractionParams,\n    context: ProcessingContext = {}\n  ): Promise<unknown> {\n    const { content, schema, url, model } = params;\n\n    defaultLogger.info(\"Starting AI extraction\", {\n      url: url || content.url,\n      schema: typeof schema === \"string\" ? schema : \"custom\",\n      ...context,\n    });\n\n    try {\n      // If schema is a string, look up registered configuration\n      if (typeof schema === \"string\") {\n        const config = this.extractionConfigs.get(schema);\n        if (!config) {\n          throw new ExtractionError(\n            `No extraction configuration registered for schema '${schema}'`,\n            context\n          );\n        }\n        return await this.extractWithConfig(content, config, url || content.url);\n      }\n\n      // Otherwise, use the provided schema directly (backward compatibility)\n      // This is a minimal extraction without custom prompts\n      const result = await generateObject({\n        model: model ? this.createModel({ ...this.config, model }) : this.model,\n        schema: schema as z.ZodType,\n        prompt: `Extract structured data from this content:\\n\\n${content.text}`,\n        temperature: this.config.temperature || 0.1,\n      });\n\n      return result.object;\n    } catch (error) {\n      const errorMessage =\n        error instanceof Error ? error.message : String(error);\n      defaultLogger.error(\"AI extraction failed\", {\n        error: errorMessage,\n        url: url || content.url,\n        ...context,\n      });\n      throw new ExtractionError(`Failed to extract data: ${errorMessage}`, {\n        ...context,\n      });\n    }\n  }\n\n  private async extractWithConfig(\n    content: ScrapedContent,\n    config: GenericExtractionConfig,\n    url: string\n  ): Promise<unknown> {\n    // Build the user prompt with template interpolation\n    const userPrompt = this.interpolatePrompt(config.userPromptTemplate, {\n      content: content.text,\n      url: url,\n      title: content.title || \"\",\n      html: content.html || \"\",\n      examples: config.examples\n        ? config.examples\n            .map((ex) => `Input: ${ex.input}\\nOutput: ${JSON.stringify(ex.output)}`)\n            .join(\"\\n\\n\")\n        : \"\",\n    });\n\n    // Generate object using AI\n    const result = await generateObject({\n      model: this.model,\n      schema: config.schema,\n      prompt: userPrompt,\n      system: config.systemPrompt,\n      temperature: config.temperature ?? this.config.temperature ?? 0.1,\n    });\n\n    // Apply post-processing if provided\n    return config.postProcess\n      ? config.postProcess(result.object)\n      : result.object;\n  }\n\n  private interpolatePrompt(template: string, values: Record<string, string>): string {\n    return template.replace(/\\{\\{(\\w+)\\}\\}/g, (match, key) => {\n      return values[key] || match;\n    });\n  }\n}\n\n/**\n * Factory function to create an AI extraction processor\n */\nexport function createAIExtractor(\n  config: AIExtractionConfig\n): AIExtractionProcessor {\n  return new 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