Error: 7 PERMISSION_DENIED: Your application has authenticated using end user credentials from the Google Cloud SDK

Question

几个月前，我的 websocket 服务器内部没有代码更改，但是今天使用它似乎 Google 语音到文本 api 不再允许使用访问令牌进行身份验证。

这是我以前的工作方法，直到我今天遇到这个错误

const client = new speech.SpeechClient({
   access_token: ACCESS_TOKEN,
   projectId: 'project-name'
});

这让我明白了标题中的上述错误。

我也尝试通过如下设置环境切换到服务帐户（我过去使用过）

export GOOGLE_APPLICATION_CREDENTIALS="path-to-key.json"

然后我 运行 客户端没有上面的代码而是 运行:

const client = new speech.SpeechClient();

这反而给我带来了这个美丽的错误，即使此时使用项目 ID 设置了环境

Error: Unable to detect a Project Id in the current environment.

如能帮助解决此问题，我们将不胜感激！

Answer 1

I was able to follow the Official Quickstart and got it working by using Client Libraries with no issues. I will explain what I did right below.

来自Cloud Speech-to-Text - Quickstart:

1. 创建或select一个项目：

   gcloud config set project YOUR_PROJECT_NAME

2. 为当前项目启用 Cloud Speech-to-Text API：

   gcloud services enable speech.googleapis.com

3. 创建服务帐户：

   gcloud iam service-accounts create [SA-NAME] \ --description "[SA-DESCRIPTION]" \ --display-name "[SA-DISPLAY-NAME]"

4. 下载私钥为JSON:

   gcloud iam service-accounts keys create ~/key.json \ --iam-account [SA-NAME]@[PROJECT-ID].iam.gserviceaccount.com

5. 将环境变量 GOOGLE_APPLICATION_CREDENTIALS 设置为包含您的服务帐户密钥的 JSON 文件的文件路径：

   export GOOGLE_APPLICATION_CREDENTIALS="[PATH]"

---

6. 安装客户端库

   npm install --save @google-cloud/speech

7. 创建了一个 quickstart.js 文件并将以下代码示例放入其中：

   'use strict';

   // [START speech_quickstart] async function main() { // Imports the Google Cloud client library const speech = require('@google-cloud/speech'); const fs = require('fs');

   // Creates a client const client = new speech.SpeechClient();

   // The name of the audio file to transcribe const fileName = './resources/audio.raw';

   // Reads a local audio file and converts it to base64 const file = fs.readFileSync(fileName); const audioBytes = file.toString('base64');

   // The audio file's encoding, sample rate in hertz, and BCP-47 language code const audio = { content: audioBytes, }; const config = { encoding: 'LINEAR16', sampleRateHertz: 16000, languageCode: 'en-US', }; const request = { audio: audio, config: config, };

   // Detects speech in the audio file const [response] = await client.recognize(request); const transcription = response.results .map(result => result.alternatives[0].transcript) .join('\n'); console.log("Transcription: ${transcription}"); } main().catch(console.error);

WHERE const fileName = './resources/audio.raw' 是您的 test.raw 音频所在的路径。

Answer 2

我通过执行以下操作解决了环境问题和后续错误：

const options = {
  keyFilename: 'path-to-key.json',
  projectId: 'project-name',
};

const client = new speech.SpeechClient(options);