@daitanjs/media/dist/index.cjs.map

A library for downloading and managing media, particularly YouTube content, using yt-dlp and YouTube Data API.

{
  "version": 3,
  "sources": ["../src/index.js", "../src/youtube.js"],
  "sourcesContent": ["// media/src/index.js\n/**\n * @file Main entry point for the @daitanjs/media package.\n * @module @daitanjs/media\n *\n * @description\n * This package provides utilities for interacting with media sources, primarily focusing\n * on YouTube. It allows fetching video and channel information, searching for videos,\n * retrieving comments, and converting YouTube videos to MP3 audio using `yt-dlp`.\n * A high-level `transcribeYoutubeVideo` function orchestrates the download and\n * transcription of a video's audio in a single call.\n *\n * All operations are asynchronous and return Promises. Errors are handled using\n * custom DaitanJS error types for consistency.\n *\n * For YouTube Data API interactions, ensure `YOUTUBE_API_KEY` is configured.\n * For `convertURLtoMP3`, ensure `yt-dlp` is installed and accessible, or its path\n * is set via the `YT_DLP_PATH` environment variable.\n */\nimport { getLogger } from '@daitanjs/development';\n\nconst mediaIndexLogger = getLogger('daitan-media-index');\n\nmediaIndexLogger.debug('Exporting DaitanJS Media module functionalities...');\n\n// All functions related to YouTube, including the new high-level one.\nexport {\n  fetchVideoDetails,\n  searchVideos,\n  fetchVideoComments,\n  fetchChannelDetails,\n  fetchChannelVideos,\n  convertURLtoMP3,\n  transcribeYoutubeVideo,\n} from './youtube.js';\n\nmediaIndexLogger.info('DaitanJS Media module exports ready.');\n", "// media/src/youtube.js\n/**\n * @file YouTube Data API and yt-dlp interaction utilities.\n * @module @daitanjs/media/youtube\n */\n\nimport { query as apiQuery } from '@daitanjs/apiqueries';\nimport { getLogger } from '@daitanjs/development';\nimport { getConfigManager } from '@daitanjs/config';\nimport {\n  DaitanApiError,\n  DaitanConfigurationError,\n  DaitanNotFoundError,\n  DaitanOperationError,\n  DaitanInvalidInputError,\n  DaitanError,\n} from '@daitanjs/error';\nimport { transcribeAudio } from '@daitanjs/speech';\nimport { spawn } from 'child_process';\nimport path from 'path';\nimport fs from 'fs/promises';\nimport os from 'os';\n\nconst logger = getLogger('daitan-media-youtube');\n\nconst YOUTUBE_API_BASE_URL = 'https://www.googleapis.com/youtube/v3';\nlet YOUTUBE_API_KEY_CACHE = null;\n\nconst getYoutubeApiKey = () => {\n  const configManager = getConfigManager();\n\n  if (YOUTUBE_API_KEY_CACHE) return YOUTUBE_API_KEY_CACHE;\n  const apiKey = configManager.get('YOUTUBE_API_KEY');\n  if (!apiKey)\n    throw new DaitanConfigurationError(\n      'YOUTUBE_API_KEY is required but not configured.'\n    );\n  YOUTUBE_API_KEY_CACHE = apiKey;\n  return apiKey;\n};\n\nexport const fetchVideoDetails = async (videoId) => {\n  const apiKey = getYoutubeApiKey();\n  if (!videoId || typeof videoId !== 'string' || !videoId.trim()) {\n    throw new DaitanInvalidInputError('Invalid videoId provided.');\n  }\n  const url = `${YOUTUBE_API_BASE_URL}/videos`;\n  const params = {\n    part: 'snippet,contentDetails,statistics,status',\n    id: videoId,\n    key: apiKey,\n  };\n  try {\n    const response = await apiQuery({\n      url,\n      params,\n      summary: `Fetch YouTube video details for ${videoId}`,\n    });\n    if (!response?.items?.[0])\n      throw new DaitanNotFoundError(`Video not found for ID: ${videoId}`);\n    return response.items[0];\n  } catch (error) {\n    if (error instanceof DaitanError) throw error;\n    throw new DaitanApiError(\n      `Failed to fetch video details for ${videoId}: ${error.message}`,\n      'YouTube Data API',\n      error.response?.status,\n      { videoId },\n      error\n    );\n  }\n};\n\nexport const searchVideos = async (queryStr, options = {}) => {\n  const apiKey = getYoutubeApiKey();\n  if (!queryStr || typeof queryStr !== 'string' || !queryStr.trim()) {\n    throw new DaitanInvalidInputError(\n      'Search query must be a non-empty string.'\n    );\n  }\n  const url = `${YOUTUBE_API_BASE_URL}/search`;\n  const params = {\n    part: 'snippet',\n    q: queryStr,\n    type: 'video',\n    maxResults: 10,\n    order: 'relevance',\n    key: apiKey,\n    ...options,\n  };\n  try {\n    const response = await apiQuery({\n      url,\n      params,\n      summary: `YouTube search for: ${queryStr}`,\n    });\n    return {\n      items: response?.items || [],\n      nextPageToken: response.nextPageToken,\n      pageInfo: response.pageInfo,\n    };\n  } catch (error) {\n    if (error instanceof DaitanError) throw error;\n    throw new DaitanApiError(\n      `YouTube search failed for query \"${queryStr}\": ${error.message}`,\n      'YouTube Data API',\n      error.response?.status,\n      { query: queryStr },\n      error\n    );\n  }\n};\n\nexport const fetchVideoComments = async (videoId, options = {}) => {\n  const apiKey = getYoutubeApiKey();\n  if (!videoId) throw new DaitanInvalidInputError('Invalid videoId provided.');\n  const url = `${YOUTUBE_API_BASE_URL}/commentThreads`;\n  const params = {\n    part: 'snippet,replies',\n    videoId,\n    maxResults: 20,\n    order: 'relevance',\n    key: apiKey,\n    ...options,\n  };\n  const response = await apiQuery({\n    url,\n    params,\n    summary: `Fetch comments for ${videoId}`,\n  });\n  return {\n    comments: response?.items || [],\n    nextPageToken: response.nextPageToken,\n    pageInfo: response.pageInfo,\n  };\n};\n\nexport const fetchChannelDetails = async (channelId) => {\n  const apiKey = getYoutubeApiKey();\n  if (!channelId)\n    throw new DaitanInvalidInputError('Invalid channelId provided.');\n  const url = `${YOUTUBE_API_BASE_URL}/channels`;\n  const params = { part: 'snippet,statistics', id: channelId, key: apiKey };\n  const response = await apiQuery({\n    url,\n    params,\n    summary: `Fetch channel details for ${channelId}`,\n  });\n  if (!response?.items?.[0])\n    throw new DaitanNotFoundError(`Channel not found for ID: ${channelId}`);\n  return response.items[0];\n};\n\nexport const fetchChannelVideos = async (channelId, options = {}) => {\n  const apiKey = getYoutubeApiKey();\n  if (!channelId)\n    throw new DaitanInvalidInputError('Invalid channelId provided.');\n  const url = `${YOUTUBE_API_BASE_URL}/search`;\n  const params = {\n    part: 'snippet',\n    channelId,\n    maxResults: 10,\n    order: 'date',\n    type: 'video',\n    key: apiKey,\n    ...options,\n  };\n  const response = await apiQuery({\n    url,\n    params,\n    summary: `Fetch videos for channel ${channelId}`,\n  });\n  return {\n    videos: response?.items || [],\n    nextPageToken: response.nextPageToken,\n    pageInfo: response.pageInfo,\n  };\n};\n\nexport function convertURLtoMP3({ url: videoUrl, outputDir, baseName }) {\n  const configManager = getConfigManager();\n\n  return new Promise(async (resolve, reject) => {\n    if (!videoUrl || !outputDir || !baseName)\n      return reject(\n        new DaitanInvalidInputError(\n          'URL, outputDir, and baseName are required.'\n        )\n      );\n    try {\n      await fs.mkdir(outputDir, { recursive: true });\n    } catch (dirError) {\n      return reject(\n        new DaitanFileOperationError(\n          `Failed to create output directory: ${dirError.message}`,\n          { path: outputDir },\n          dirError\n        )\n      );\n    }\n    const outputTemplate = path.resolve(outputDir, `${baseName}.%(ext)s`);\n    const ytDlpCommand = configManager.get('YT_DLP_PATH', 'yt-dlp');\n    const args = [\n      '--extract-audio',\n      '--audio-format',\n      'mp3',\n      '--output',\n      outputTemplate,\n      videoUrl,\n    ];\n    const ytDlpProcess = spawn(ytDlpCommand, args);\n    ytDlpProcess.on('close', async (code) => {\n      if (code === 0) {\n        const finalPath = path.resolve(outputDir, `${baseName}.mp3`);\n        try {\n          const stats = await fs.stat(finalPath);\n          if (stats.isFile() && stats.size > 0) resolve(finalPath);\n          else\n            reject(\n              new DaitanOperationError(\n                'yt-dlp succeeded but output file is empty or missing.'\n              )\n            );\n        } catch (statError) {\n          reject(\n            new DaitanOperationError(\n              `yt-dlp succeeded but output file verification failed: ${statError.message}`\n            )\n          );\n        }\n      } else {\n        reject(new DaitanOperationError(`yt-dlp failed with code ${code}.`));\n      }\n    });\n    ytDlpProcess.on('error', (err) =>\n      reject(\n        new DaitanOperationError(\n          `Failed to start yt-dlp: ${err.message}`,\n          {},\n          err\n        )\n      )\n    );\n  });\n}\n\n/**\n * @typedef {import('@daitanjs/speech').SttConfig} SttConfig\n */\n\n/**\n * @typedef {Object} TranscribeYoutubeVideoParams\n * @property {string} url - The full URL of the YouTube video.\n * @property {SttConfig} [config] - Configuration options for the speech-to-text process.\n */\n\n/**\n * Downloads a YouTube video's audio, transcribes it, and cleans up the temporary audio file.\n * @public\n * @async\n * @param {TranscribeYoutubeVideoParams} params - The parameters for the transcription workflow.\n * @returns {Promise<string|object>} The transcribed text or JSON object from the STT service.\n */\nexport const transcribeYoutubeVideo = async ({ url, config = {} }) => {\n  const callId = `transcribe-yt-${Date.now().toString(36)}`;\n  logger.info(\n    `[${callId}] Initiating YouTube transcription workflow for URL: ${url}`\n  );\n\n  if (!url || typeof url !== 'string' || !url.includes('youtube.com')) {\n    throw new DaitanInvalidInputError('A valid YouTube video URL is required.');\n  }\n\n  const tempDir = path.join(os.tmpdir(), 'daitanjs-yt-transcripts');\n  const baseName = `audio_${callId}`;\n  let tempAudioPath = null;\n\n  try {\n    logger.debug(\n      `[${callId}] Step 1: Downloading audio to temporary directory...`\n    );\n    tempAudioPath = await convertURLtoMP3({\n      url,\n      outputDir: tempDir,\n      baseName,\n    });\n    logger.info(\n      `[${callId}] Audio downloaded successfully to: ${tempAudioPath}`\n    );\n\n    logger.debug(`[${callId}] Step 2: Transcribing audio file...`);\n    const transcriptionResult = await transcribeAudio({\n      source: { filePath: tempAudioPath },\n      config,\n    });\n    logger.info(`[${callId}] Transcription successful.`);\n\n    return transcriptionResult;\n  } catch (error) {\n    logger.error(\n      `[${callId}] YouTube transcription workflow failed: ${error.message}`\n    );\n    if (error instanceof DaitanError) throw error;\n    throw new DaitanOperationError(\n      `YouTube transcription workflow failed for URL \"${url}\": ${error.message}`,\n      { url },\n      error\n    );\n  } finally {\n    if (tempAudioPath) {\n      try {\n        await fs.unlink(tempAudioPath);\n        logger.debug(\n          `[${callId}] Step 3: Successfully cleaned up temporary audio file: ${tempAudioPath}`\n        );\n      } catch (cleanupError) {\n        logger.error(\n          `[${callId}] CRITICAL: Failed to clean up temporary audio file at ${tempAudioPath}. Manual cleanup may be required. Error: ${cleanupError.message}`\n        );\n      }\n    }\n  }\n};\n"],
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}