error {
  code: '42P01',
  details: null,
  hint: null,
  message: 'relation "public.pg" does not exist'
}

error {
  code: '42501',
  details: null,
  hint: null,
  message: 'new row violates row-level security policy for table "pg"'
}

OPENAI_API_KEY= mykey

NEXT_PUBLIC_SUPABASE_URL=Project URL URL
SUPABASE_SERVICE_ROLE_KEY=Project API keys service_role (secret)

 $$ npm run embed

> [email protected] embed
> tsx scripts/embed.ts

Loaded env from .env.local

**error:**
paul-graham-gpt/scripts/embed.ts:30
      **const [{ embedding }] = embeddingResponse.data.data;**
                              ^


TypeError: undefined is not iterable (cannot read property Symbol(Symbol.iterator))
    at generateEmbeddings (/paul-graham-gpt/scripts/embed.ts:30:31)
    at process.processTicksAndRejections (node:internal/process/task_queues:95:5)
    at <anonymous> (paul-graham-gpt/scripts/embed.ts:60:3)

Node.js v18.14.0



**print embeddingResponse log is** 


embeddingResponse
 {
  status: 200,
  statusText: 'Connection established',
  headers: {},
  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': 'application/json',
      'User-Agent': 'OpenAI/NodeJS/3.1.0',
      Authorization: 'Bearer sk-mykey',
      'Content-Length': 822,
      host: 'api.openai.com'
    },
    method: 'post',
    data: `{"model":"text-embedding-ada-002","input":"(Someone fed my essays into GPT to make something that could answer questions based on them, then asked it where good ideas come from. The answer was ok, but not what I would have said. This is what I would have said.)The way to get new ideas is to notice anomalies: what seems strange, or missing, or broken? You can see anomalies in everyday life (much of standup comedy is based on this), but the best place to look for them is at the frontiers of knowledge. Knowledge grows fractally. From a distance its edges look smooth, but when you learn enough to get close to one, you'll notice it's full of gaps. These gaps will seem obvious; it will seem inexplicable that no one has tried x or wondered about y. In the best case, exploring such gaps yields whole new fractal buds."}`,
    url: 'https://api.openai.com/v1/embeddings'
  },
  request: <ref *1> ClientRequest {
    _events: [Object: null prototype] {
      abort: [Function (anonymous)],
      aborted: [Function (anonymous)],
      connect: [Function (anonymous)],
      error: [Function (anonymous)],
      socket: [Function (anonymous)],
      timeout: [Function (anonymous)],
      finish: [Function: requestOnFinish]
    },
    _eventsCount: 7,
    _maxListeners: undefined,
    outputData: [],
    outputSize: 0,
    writable: true,
    destroyed: false,
    _last: true,
    chunkedEncoding: false,
    shouldKeepAlive: false,
    maxRequestsOnConnectionReached: false,
    _defaultKeepAlive: true,
    useChunkedEncodingByDefault: true,
    sendDate: false,
    _removedConnection: false,
    _removedContLen: false,
    _removedTE: false,
    strictContentLength: false,
    _contentLength: 822,
    _hasBody: true,
    _trailer: '',
    finished: true,
    _headerSent: true,
    _closed: false,
    socket: Socket {
      connecting: false,
      _hadError: false,
      _parent: null,
      _host: null,
      _closeAfterHandlingError: false,
      _readableState: [ReadableState],
      _events: [Object: null prototype],
      _eventsCount: 8,
      _maxListeners: undefined,
      _writableState: [WritableState],
      allowHalfOpen: false,
      _sockname: null,
      _pendingData: null,
      _pendingEncoding: '',
      server: null,
      _server: null,
      parser: null,
      _httpMessage: [Circular *1],
      write: [Function: writeAfterFIN],
      [Symbol(async_id_symbol)]: 57,
      [Symbol(kHandle)]: null,
      [Symbol(lastWriteQueueSize)]: 0,
      [Symbol(timeout)]: null,
      [Symbol(kBuffer)]: null,
      [Symbol(kBufferCb)]: null,
      [Symbol(kBufferGen)]: null,
      [Symbol(kCapture)]: false,
      [Symbol(kSetNoDelay)]: true,
      [Symbol(kSetKeepAlive)]: true,
      [Symbol(kSetKeepAliveInitialDelay)]: 60,
      [Symbol(kBytesRead)]: 39,
      [Symbol(kBytesWritten)]: 1121
    },
    _header: 'POST https://api.openai.com/v1/embeddings HTTP/1.1\r\n' +
      'Accept: application/json, text/plain, */*\r\n' +
      'Content-Type: application/json\r\n' +
      'User-Agent: OpenAI/NodeJS/3.1.0\r\n' +
      'Authorization: Bearer sk-mykey\r\n' +
      'Content-Length: 822\r\n' +
      'host: api.openai.com\r\n' +
      'Connection: close\r\n' +
      '\r\n',
    _keepAliveTimeout: 0,
    _onPendingData: [Function: nop],
    agent: Agent {
      _events: [Object: null prototype],
      _eventsCount: 2,
      _maxListeners: undefined,
      defaultPort: 80,
      protocol: 'http:',
      options: [Object: null prototype],
      requests: [Object: null prototype] {},
      sockets: [Object: null prototype],
      freeSockets: [Object: null prototype] {},
      keepAliveMsecs: 1000,
      keepAlive: false,
      maxSockets: Infinity,
      maxFreeSockets: 256,
      scheduling: 'lifo',
      maxTotalSockets: Infinity,
      totalSocketCount: 1,
      [Symbol(kCapture)]: false
    },
    socketPath: undefined,
    method: 'POST',
    maxHeaderSize: undefined,
    insecureHTTPParser: undefined,
    joinDuplicateHeaders: undefined,
    path: 'https://api.openai.com/v1/embeddings',
    _ended: true,
    res: IncomingMessage {
      _readableState: [ReadableState],
      _events: [Object: null prototype],
      _eventsCount: 4,
      _maxListeners: undefined,
      socket: [Socket],
      httpVersionMajor: 1,
      httpVersionMinor: 1,
      httpVersion: '1.1',
      complete: true,
      rawHeaders: [],
      rawTrailers: [],
      joinDuplicateHeaders: undefined,
      aborted: false,
      upgrade: false,
      url: '',
      method: null,
      statusCode: 200,
      statusMessage: 'Connection established',
      client: [Socket],
      _consuming: true,
      _dumped: false,
      req: [Circular *1],
      responseUrl: 'https://api.openai.com/v1/embeddings',
      redirects: [],
      [Symbol(kCapture)]: false,
      [Symbol(kHeaders)]: {},
      [Symbol(kHeadersCount)]: 0,
      [Symbol(kTrailers)]: null,
      [Symbol(kTrailersCount)]: 0
    },
    aborted: false,
    timeoutCb: null,
    upgradeOrConnect: false,
    parser: null,
    maxHeadersCount: null,
    reusedSocket: false,
    host: '127.0.0.1',
    protocol: 'http:',
    _redirectable: Writable {
      _writableState: [WritableState],
      _events: [Object: null prototype],
      _eventsCount: 3,
      _maxListeners: undefined,
      _options: [Object],
      _ended: true,
      _ending: true,
      _redirectCount: 0,
      _redirects: [],
      _requestBodyLength: 822,
      _requestBodyBuffers: [],
      _onNativeResponse: [Function (anonymous)],
      _currentRequest: [Circular *1],
      _currentUrl: 'https://api.openai.com/v1/embeddings',
      [Symbol(kCapture)]: false
    },
    [Symbol(kCapture)]: false,
    [Symbol(kBytesWritten)]: 0,
    [Symbol(kEndCalled)]: true,
    [Symbol(kNeedDrain)]: false,
    [Symbol(corked)]: 0,
    [Symbol(kOutHeaders)]: [Object: null prototype] {
      accept: [Array],
      'content-type': [Array],
      'user-agent': [Array],
      authorization: [Array],
      'content-length': [Array],
      host: [Array]
    },
    [Symbol(errored)]: null,
    [Symbol(kUniqueHeaders)]: null
  },
  data: ''
}

error {
  code: '42P01',
  details: null,
  hint: null,
  message: 'relation "public.pg" does not exist'
}