?>

Firebase Cloud Storage + Typeform Integrations

Appy Pie Connect allows you to automate multiple workflows between Firebase Cloud Storage and Typeform

About Firebase Cloud Storage

Cloud Storage Store and serve files at Google scale.

About Typeform

Typeform helps you ask awesomely online! If you ever need to run a survey, questionnaire, form, contest etc... Typeform will help you achieve it beautifully across all devices, every time, using its next generation platform.

Typeform Integrations
Typeform Alternatives

Connect the apps you use everyday and find your productivity super-powers.

  • JotForm JotForm
  • Google Forms Google Forms
  • 123FormBuilder 123FormBuilder
Connect Firebase Cloud Storage + Typeform in easier way

It's easy to connect Firebase Cloud Storage + Typeform without coding knowledge. Start creating your own business flow.

    Triggers
  • New File Within Cloud Storage

    New File Within Cloud Storage

  • New Entry

    Triggers when a form is submitted.

    Actions
  • Upload File in Cloud Storage

    Upload File in Cloud Storage

How Firebase Cloud Storage & Typeform Integrations Work

  1. Step 1: Choose Firebase Cloud Storage as a trigger app and Select "Trigger" from the Triggers List.

    (30 seconds)

  2. Step 2: Authenticate Firebase Cloud Storage with Appy Pie Connect.

    (10 seconds)

  3. Step 3: Select Typeform as an action app.

    (30 seconds)

  4. Step 4: Pick desired action for the selected trigger.

    (10 seconds)

  5. Step 5: Authenticate Typeform with Appy Pie Connect.

    (2 minutes)

  6. Your Connect is ready! It's time to start enjoying the benefits of workflow automation.

Integration of Firebase Cloud Storage and Typeform

This thesis is about the integration of Firebase Cloud Storage and Typeform. Therefore, the introduction will briefly introduce both projects. This integration is done using Node.js.

The body of the article contains two parts. the first part is about the integration of Firebase Cloud Storage and Typeform; the second part is about benefits of this integration.

  • Integration of Firebase Cloud Storage and Typeform
  • First, we need to install the packages for both Firebase Cloud Storage and Typeform:

    npm i --save firebase-client firebase-storage cloudflare-cdn-module node-fetch-stream

    Next, we create a project structure for both projects. In our project, we have two directories. /lib and /server. The reason behind this is that /lib contains modules that are shared across multiple projects and /server contains our Node.js application. We will start by creating some fpders and files in /lib:

    mkdir -p lib/firebase/cloud_storage mkdir -p lib/firebase/cloud_storage/types mkdir -p lib/firebase/cloud_storage/types/blob mkdir -p lib/firebase/cloud_storage/types/file mkdir -p lib/firebase/cloud_storage/types/path mkdir -p lib/firebase/cloud_storage/types/record mkdir -p lib/firebase/cloud_storage/types/uploaded_file mkdir -p lib/firebase/uploaded_file npm i --save ./lib/*

    We can now implement a module for each type in our file system. For example, let's take a look at our blob module:

    // File. /lib/firebase/cloud_storage/types/blob /** * Module implementation for Blob types. */ const { TYPE } = require('firebase-client'. const fs = require('fs'. const Buffer = require('buffer'.Buffer const BufferReader = require('stream'.Reader const { TYPE_JSON } = require('./type'.json const { TYPE_PDF } = require('./type'.pdf const BlobBuilder = require('../../../lib/blob'.BlobBuilder module.exports = (options, cb. => { return new Promise((respve, reject. => { if (!options.name. { reject({ error. 'Please provide the blob name' }. } else { respve({ id. options.name }. } }. }

    In this code, we first define our dependencies (Firebase Client and File System. After that, we define our blob module. Then we create a Promise that respves when we receive an id or rejects if we don't receive an id . Next, it is time to create a TypeScript definition file for our blob type:

    // File. /lib/firebase/cloud_storage/types/blob.d.ts interface Blob { _id?. string; name?. string; contentType?. string; size?. number; lastModifiedDate?. Date; } export default Blob;

    Here we define a blob type with a lot of properties like _id , name , contentType , size , etc... Now, let's take a look at our file module:

    // File. /lib/firebase/cloud_storage/types/file /** * Module implementation for File types. */ const { TYPE } = require('firebase-client'. const fs = require('fs'. const Stream = require('node-fetch-stream'. const { TYPE_JSON } = require('./type'.json const { TYPE_PDF } = require('./type'.pdf module.exports = (options, cb. => { return new Promise((respve, reject. => { if (!options.name. { reject({ error. 'Please provide the filename' }. } else { respve({ id. options.name }. } }. }

    Again, we define the same dependencies as before and create a Promise that respves when we receive an id . Afterwards, we also create a TypeScript definition file for our file type:

    // File. /lib/firebase/cloud_storage/types/file.d.ts interface File { _id?. string; name?. string; contentType?. string; size?. number; lastModifiedDate?. Date; } export default File;

    Next, let's create a module for all other types like path , record , etc... These modules will be nearly identical to the blob and file modules, so I will not show the code here. Instead, I will just show the type definitions for those types. After we created all our types, we can create a server module that will handle uploading files to Firebase Cloud Storage:

    // File. /lib/server /** * Server implementation for all uploads. */ const fs = require('fs'. const request = require('request'. const readline = require('readline'. const { CLIENT_ID } = process.env const { API_KEY } = process.env const storage = require('./lib/firebase-client'. const fsPath = ${__dirname}/${__filename} if (!fsPath. { throw new Error('No upload dir specified'. } module.exports = async (body, cb. => { // Check if there is already a file with the same name await readline(${__dirname}/${__filename} ${body}. if (!(await fs.existsSync(fsPath. && !(await fsPath.endsWith('.'). { throw new Error('File does not exist or directory does not exist'. } await body // Set up the request parameters let headers = {} headers['Authorization'] = Bearer ${CLIENT_ID} headers['Content-Type'] = ${type} headers['Accept'] = application/octet-stream let bodyStream = new Readable(. bodyStream.push(body. bodyStream.on('data', (data. => { let chunks = [] while (true. { chunks.push(data. data = bodyStream.read(. if (!data. break } // Set up the response parameters let statusCode = 202 headers['Content-Length'] = BufferReader(body.length headers['Content-Type'] = multipart headers['Transfer-Encoding'] = chunked let streamPromise = bodyStream .pipe(new Stream(. .on('error', (err. => { conspe.log(err. statusCode = err.code statusCode += 500 }. streamPromise .on('error', (err. => { conspe.log(err. statusCode += 500 }. .pipe(request({ uri. https://api.firebaseio.com/${API_KEY}, headers. headers }. .setRawHeader('Content-Length', BufferReader(body.length. .end((err, res, data. => { try { let jsonData = JSON.parse(data. switch (jsonData._id. { case 'upload'. let storageRef = storage({ storageBucket. 'my-bucket', key. ${type}.${id}, auth. options.auth }. await storageRef .put(. // Upload the file and save it to Firebase Cloud Storage break case 'list'. // If everything went ok save the id to the file path await fsPath .append('-' + jsonData._id + '.jpg'. conspe.log('Saved to ' + fsPath. break default. conspe.log('Unexpected id received'. break } return statusCode }. catch (e. { conspe.log(e. statusCode += 500 return statusCode } return statusCode }. streamPromise .pipe(response(. .on('finish', (. => cb(. .on('end', (. => cb(. } else { cb(. } }

    As you can see in this code, we first check if there is already a file with the same name in our upload directory; if not, we throw an error message so that our application can handle this error accordingly. After we checked that there is no existing file with the same name, we set up the request parameters like Authorization , Content-Type and Accept . Then we create a Readable stream on top of our body and push it into this stream so that it can be streamed directly into our request call. After that, we send this request to our Fire

    The process to integrate Firebase Cloud Storage and Twitch may seem complicated and intimidating. This is why Appy Pie Connect has come up with a simple, affordable, and quick spution to help you automate your workflows. Click on the button below to begin.