正在将 API 文件下载到 Firebase 云存储?

Downloading an API file to Firebase Cloud Storage?

如何将 IBM Watson Text-to-speech 中的音频文件(约 10K)保存到 Firebase 云存储?这是我的代码,从 IBM Watson documentation:

复制而来
const functions = require('firebase-functions');
const admin = require('firebase-admin');
admin.initializeApp();

var TextToSpeechV1 = require('watson-developer-cloud/text-to-speech/v1');
var fs = require('fs');    

exports.TextToSpeech = functions.firestore.document('Test_Value').onUpdate((change, context) => {

  var textToSpeech = new TextToSpeechV1({
    username: 'groucho',
    password: 'swordfish',
    url: 'https://stream.watsonplatform.net/text-to-speech/api'
  });

  var synthesizeParams = {
    text: 'Hello world',
    accept: 'audio/wav',
    voice: 'en-US_AllisonVoice'
  };

  textToSpeech.synthesize(synthesizeParams).on('error', function(error) {
    console.log(error);
  }).pipe(fs.createWriteStream('hello_world.wav')); // what goes here?

  const file = ?????
  file.download()
  .then(function(data) {
    console.log("File downloaded."
  })
  .catch(error => {
    console.error(error);
  });
});

漏码在

之间
}).pipe(fs.createWriteStream('hello_world.wav'));

file.download()

我必须以某种方式将 IBM Watson 提供的文件转换为 Firebase 云存储可识别的文件。 Google Cloud Functions 中不允许 fs 吗?

此外,第 6 行不应该是

var fs = require('fs-js');

不是

var fs = require('fs'); 

根据 NPMfs 包已弃用。

Google Cloud Functions 中是否允许 pipe?如果是这样,我应该将文件传输到什么地方?我需要这样的东西:

}).pipe(file);
file.download()

好的,查看 file.download() 的文档,我认为您只需对代码进行少量更改即可完成这项工作。 file 需要从 Google 存储库中输入 File(您需要安装 this library). This type has a method called createWriteStream,您可以将 synthesize 的结果流式传输到。我没有对此进行测试,但我相信它应该是正确的,或者至少应该为您指明正确的方向:

// looks like you'll need to require this package also
const { Storage } = require('@google-cloud/storage');

const functions = require('firebase-functions');
const admin = require('firebase-admin');
admin.initializeApp();

var TextToSpeechV1 = require('watson-developer-cloud/text-to-speech/v1');
var fs = require('fs');    

const storage = new Storage();
const myBucket = storage.bucket('my-bucket');

exports.TextToSpeech = functions.firestore.document('Test_Value').onUpdate((change, context) => {

  var textToSpeech = new TextToSpeechV1({
    username: 'groucho',
    password: 'swordfish',
    url: 'https://stream.watsonplatform.net/text-to-speech/api'
  });

  var synthesizeParams = {
    text: 'Hello world',
    accept: 'audio/wav',
    voice: 'en-US_AllisonVoice'
  };

  const file = myBucket.file('my-file'); // name your file something here

  textToSpeech
    .synthesize(synthesizeParams)
    .on('error', function(error) {
      console.log(error);
    })
    .pipe(file.createWriteStream()) // the File object has a `createWriteStream` method for writing streams to it
    .on('error', function(err) {
      console.log(err);
    })
    .on('finish', function() {
      // The file upload is complete.
      file.download()
        .then(function(data) {
          console.log("File downloaded.");
        })
        .catch(error => {
          console.error(error);
        });
    });
});

备案:

  • pipe() 应该在 Google Cloud Functions 中被允许并且它 异步。这就是为什么你需要在下载文件之前监听 finish 事件
  • fs 仅在 public NPM 上被弃用,但这不是您导入的包,fs(文件系统)模块是 Node's core built-in packages 之一。也就是说,看起来您的代码中可能根本不需要它

谢谢dpopp07,我明白了!

exports.TextToSpeech = functions.firestore.document('Test_Word').onUpdate((change, context) => {

if (change.after.data().word != undefined) {
    myWord = change.after.data().word;
    myWordFileType = myWord + '.ogg';

  var synthesizeParams = {
        text: myWord,
        accept: 'audio/ogg',
        voice: 'en-US_AllisonVoice'
      };

      const {Storage} = require('@google-cloud/storage');
      const storage = new Storage();
      const bucket = storage.bucket('myapp.appspot.com');
      const file = bucket.file('Test_Folder' + myWordFileType);

      var TextToSpeechV1 = require('watson-developer-cloud/text-to-speech/v1');

      var textToSpeech = new TextToSpeechV1({
        username: 'groucho',
        password: 'swordfish',
        url: 'https://stream.watsonplatform.net/text-to-speech/api'
      });

      textToSpeech.synthesize(synthesizeParams).on('error', function(error) {
        console.log(error);
      }).pipe(file.createWriteStream({contentType: 'auto'}))
      .on('error', function(err) {})
      .on('finish', function() {
        console.log("Complete.");
      });
      }
      return 0;
    });

当一个新词被写入 Firestore 位置时该函数触发,然后提取该词并调用它 myWord。添加 .ogg 使 myWordFileType。这些函数向 IBM Watson Text-to-speech 发送一个 HTTP 请求,returns 一个回调,而不是一个承诺,所以代码有点难看。关键在于 HTTP 响应通过节点命令 pipe 将文件发送到 Google 云存储命令 file.createWriteStream。必须设置 contentType 才能获得可读文件,但是 auto 使这很容易。然后将文件写入存储桶,该存储桶设置为我的 Firebase Cloud Storage 文件夹 Test_Folder,文件名为 myWordFileType.