Tameyer41 / liftoff

Mock Interview Simulator with AI-Powered Feedback
https://demo.useliftoff.com
MIT License
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server error - Error: ENOENT: no such file or directory #4

Closed 1NoobDev closed 12 months ago

1NoobDev commented 1 year ago

It seems that the audio recording is not created; or at least, not on my device when running the test. After pressing the 'Process transcript' button, returns the following inside the output:

- event compiled successfully in 181 ms (628 modules)
E:\tmp\6f9264e9686cd181d12314301.mp3
server error [Error: ENOENT: no such file or directory, open 'E:\tmp\6f9264e9686cd181d12314301.mp3'] {
  errno: -4058,
  code: 'ENOENT',
  syscall: 'open',
  path: 'E:\\tmp\\6f9264e9686cd181d12314301.mp3',
  config: {
    transitional: {
      silentJSONParsing: true,
      forcedJSONParsing: true,
      clarifyTimeoutError: false
    },
    adapter: [Function: httpAdapter],
    transformRequest: [ [Function: transformRequest] ],
    transformResponse: [ [Function: transformResponse] ],
    timeout: 0,
    xsrfCookieName: 'XSRF-TOKEN',
    xsrfHeaderName: 'X-XSRF-TOKEN',
    maxContentLength: -1,
    maxBodyLength: -1,
    validateStatus: [Function: validateStatus],
    headers: {
      Accept: 'application/json, text/plain, */*',
      'Content-Type': 'multipart/form-data; boundary=--------------------------504996471978997678364746',
      'User-Agent': 'OpenAI/NodeJS/3.2.1',
      Authorization: 'Bearer sk-#############################'
    },
    method: 'post',
    data: FormData {
      _overheadLength: 275,
      _valueLength: 9,
      _valuesToMeasure: [Array],
      writable: false,
      readable: true,
      dataSize: 0,
      maxDataSize: 2097152,
      pauseStreams: true,
      _released: true,
      _streams: [],
      _currentStream: null,
      _insideLoop: false,
      _pendingNext: false,
      _boundary: '--------------------------504996471978997678364746',
      _events: [Object: null prototype],
      _eventsCount: 1
    },
    url: 'https://api.openai.com/v1/audio/transcriptions'
  },
  request: <ref *1> Writable {
    _writableState: WritableState {
      objectMode: false,
      highWaterMark: 16384,
      finalCalled: false,
      needDrain: false,
      ending: false,
      ended: false,
      finished: false,
      destroyed: false,
      decodeStrings: true,
      defaultEncoding: 'utf8',
      length: 0,
      writing: false,
      corked: 0,
      sync: true,
      bufferProcessing: false,
      onwrite: [Function: bound onwrite],
      writecb: null,
      writelen: 0,
      afterWriteTickInfo: null,
      buffered: [],
      bufferedIndex: 0,
      allBuffers: true,
      allNoop: true,
      pendingcb: 0,
      constructed: true,
      prefinished: false,
      errorEmitted: false,
      emitClose: true,
      autoDestroy: true,
      errored: null,
      closed: false,
      closeEmitted: false,
      [Symbol(kOnFinished)]: []
    },
    _events: [Object: null prototype] {
      response: [Function: handleResponse],
      error: [Function: handleRequestError],
      socket: [Function: handleRequestSocket]
    },
    _eventsCount: 3,
    _maxListeners: undefined,
    _options: {
      maxRedirects: 21,
      maxBodyLength: 10485760,
      protocol: 'https:',
      path: '/v1/audio/transcriptions',
      method: 'POST',
      headers: [Object],
      agent: undefined,
      agents: [Object],
      auth: undefined,
      hostname: 'api.openai.com',
      port: null,
      nativeProtocols: [Object],
      pathname: '/v1/audio/transcriptions'
    },
    _ended: false,
    _ending: false,
    _redirectCount: 0,
    _redirects: [],
    _requestBodyLength: 169,
    _requestBodyBuffers: [ [Object] ],
    _onNativeResponse: [Function (anonymous)],
    _currentRequest: ClientRequest {
      _events: [Object: null prototype],
      _eventsCount: 7,
      _maxListeners: undefined,
      outputData: [],
      outputSize: 0,
      writable: true,
      destroyed: false,
      _last: true,
      chunkedEncoding: true,
      shouldKeepAlive: false,
      maxRequestsOnConnectionReached: false,
      _defaultKeepAlive: true,
      useChunkedEncodingByDefault: true,
      sendDate: false,
      _removedConnection: false,
      _removedContLen: false,
      _removedTE: false,
      strictContentLength: false,
      _contentLength: null,
      _hasBody: true,
      _trailer: '',
      finished: false,
      _headerSent: true,
      _closed: false,
      socket: [TLSSocket],
      _header: 'POST /v1/audio/transcriptions HTTP/1.1\r\n' +
        'Accept: application/json, text/plain, */*\r\n' +
        'Content-Type: multipart/form-data; boundary=--------------------------504996471978997678364746\r\n' +
        'User-Agent: OpenAI/NodeJS/3.2.1\r\n' +
        'Authorization: Bearer sk-###############\r\n' +
        'Host: api.openai.com\r\n' +
        'Connection: close\r\n' +
        'Transfer-Encoding: chunked\r\n' +
        '\r\n',
      _keepAliveTimeout: 0,
      _onPendingData: [Function: nop],
      agent: [Agent],
      socketPath: undefined,
      method: 'POST',
      maxHeaderSize: undefined,
      insecureHTTPParser: undefined,
      joinDuplicateHeaders: undefined,
      path: '/v1/audio/transcriptions',
      _ended: false,
      res: null,
      aborted: false,
      timeoutCb: null,
      upgradeOrConnect: false,
      parser: [HTTPParser],
      maxHeadersCount: null,
      reusedSocket: false,
      host: 'api.openai.com',
      protocol: 'https:',
      _redirectable: [Circular *1],
      [Symbol(kCapture)]: false,
      [Symbol(kBytesWritten)]: 0,
      [Symbol(kNeedDrain)]: false,
      [Symbol(corked)]: 0,
      [Symbol(kOutHeaders)]: [Object: null prototype],
      [Symbol(errored)]: null,
      [Symbol(kUniqueHeaders)]: null
    },
    _currentUrl: 'https://api.openai.com/v1/audio/transcriptions',
    [Symbol(kCapture)]: false
  },
  response: undefined,
  isAxiosError: true,
  toJSON: [Function: toJSON]
}

I do see inside transcribe.ts:

// Here, we create a temporary file to store the audio file using Vercel's tmp directory
  // As we compressed the file and are limiting recordings to 2.5 minutes, we won't run into trouble with storage capacity
  const fData = await new Promise<{ fields: any; files: any }>(
    (resolve, reject) => {
      const form = new IncomingForm({
        multiples: false,
        uploadDir: "/tmp",
        keepExtensions: true,
      });
      form.parse(req, (err, fields, files) => {
        if (err) return reject(err);
        resolve({ fields, files });
      });
    }
  );

The comments mention Vercel's tmp directory, how to adjust this for other storage, i.e.: local, when testing?

1NoobDev commented 12 months ago

Used Vercel, works like a charm. Closing incident.