Is it possible to integrate websockets with Google sheets - google-sheets

The idea is simple. I have a websocket server which sends me comma separated value. I would want to use Google Sheets to render the data and at the same time, use the power of sheets.
Is such a integration possible?
Note- I know that integrating with a REST API is possible,but I am more interested on live update of data and that too without long polling and other mechanism. I already have a websocket API ready which sends data,just want to know if I can use Google sheets as the client.
If it is possible then how?

I'm not sure if you can keep an open websocket in apps scripts.
Maybe you can use a Apps Scripts trigger to run a routine (like cron).
https://developers.google.com/apps-script/guides/triggers/installable
In this routine you can access a web api.
It might help you.

Use sheets API with node JS and socket IO.

Related

How to securely connect to Google Sheets via API from the front end?

I have been working with the sheets API for some time. I am aware of libraries such as the this one: https://www.npmjs.com/package/google-spreadsheet
This is written in Javascript, but obviously meant to be used server side. However, my question is this: Is there a secure way to connect to a sheet I own via the front-end? I am aware of services like Sheetsu, but don't really understand how they can guarantee the security of the service account credentials.

Can we use Google Spreadsheet as a backend database

I am trying to develop an application, where I where fetching data from multiple clients related to some transactions. Now I want to make some analysis using the Google Spreadsheet. Is there any way by which I can achieve this using the ASP.Net MVC(using C#). Google provides OAuth and When I implement the code and when I am trying to send the data to Google spreadsheet which I receive form the clients. However, when I am doing that, for every new client, Google asks for login credential. Client enter their own credentials, and the Google sheet instead a common sheet, client own sheet is used. Thus, my purpose is not solved. Is there any way possible to do this. I does not seem to find proper documentation on Google as well. Please provide some suggestions to implement this. Thanks in advance.
This can be done very easily if you just want a read only database.
You must publish your Google Sheet to the web and, from its url, copy its id.
For example my sheet has this url: https://docs.google.com/spreadsheets/d/1IHF0mSHs1HdYpIlIzYKG3O8SnAhKU_a6nEJSz04Togk/edit
The long alphanumeric string in the middle is my sheet id. Copy it and place it instead of XXXX in the following url, as follows:
https://spreadsheets.google.com/feeds/list/XXXX/1/public/basic?alt=json"
So the final url would look like this:
https://spreadsheets.google.com/feeds/list/1IHF0mSHs1HdYpIlIzYKG3O8SnAhKU_a6nEJSz04Togk/1/public/basic?alt=json
Then you can simply access this url and get all your data as json.
Using jQuery:
var $url = 'https://spreadsheets.google.com/feeds/list/1IHF0mSHs1HdYpIlIzYKG3O8SnAhKU_a6nEJSz04Togk/1/public/basic?alt=json';
$.getJSON($url,function(data){
alert(JSON.stringify(data.feed.entry));
});
You will get a long json structure. The relevant data is in data.feed.entry. There you'll have many entries. On each one you'll have a "content" property and within it, a "$t" one. These will give you all the cells.
So for getting the first row, you will have to get data.feed.entry[0].content.$t.
Hope it helps.
This can be accomplished using Google Apps Script. In particular, you can achieve this with a "bound" script in Google Sheets (i.e. a script that was created in the context of the sheet that you wish to create as the "backend") that you then publish as a "web app" script. When you publish it, you can make it execute with the authority of the owner of the spread sheet (rather than the authority of the user who invokes the url), which will not require the end user to explicitly authorize themselves (since it is the script publisher's credentials, not the user's credentials, that are being used).
It should be noted that, while this (and generally building on top of Google Apps Script) is a reasonable approach for small-to-medium apps, you'll probably find using Google Cloud Platform (and, in this particular case, the Cloud Datastore) as the better, more scalable solution for small-to-large apps. That is, if you are prototyping or creating an internal tool that is unlikely to catch fire overnight, I'd go with whichever approach you find more convenient / simpler; if you are creating an app that could potentially experience a "success disaster", I'd go with Cloud Platform, instead.
If your sheet is public, you can do it withouth authentication. You can use google API Visualization with the query language or use the Google Sheets API.
But if your sheet is private, it is mandatory the use of OAuth2 authentication through service account credentials.
In order to do that, you have to create a service account (with owner of the project role for example). Then you have to download the client_secret.json file which will be the one you use in your code.
Finally you have to share your spreadsheet with the email you get in this file. Look in the file and you will see it.
I have made a tutorial. You can visit at http://edba.xyz/google-sheets-as-database. It is mainly based in PHP but it is easily trasportable to
other languages.
I have recently been developing a website using google sheet as backend. It is great. The speed is also appreciable.
I have integrated the custom backend which I wrote on google apps script with my Django app. So now my website stores the user information on google sheets. The google sheet code and Django app interact via Rest API which can be easily developed using doGet() and doPost() in apps script and python request on the Django side. Once the necessary structure is built( it does take some time tweaking if you are new) but then it works as a great database for your website.
Google spreadsheet is a great solution for quick prototyping database and even in some cases for production use.
People have already realized the potential and there are many tools today for turning your Google spreadsheet into a backend api
There are couple of libraries such as node-sheets for obtaining a json feed from a Google spreadsheet (read-only)
Also, if you need a complete standalone service you have some paid options like
https://sheetsu.com
And also open source options such as
https://github.com/scheduleonce/express-sheets
This can be installed on any cloud provider via Docker and you can point it to your spreadsheet and it will dynamically turn it into an api.
So if, for example, your spreadsheet has the following sheets:
| articles | products | users |
It will automatically create the 3 endpoints
GET /articles
GET /products
GET /users
It is suitable for read-only apis (you update the spreadsheet directly, not through code) that don't need to be changed too often (although you can control the update interval)
You can use Kodem.io.
Google Sheets As Backend allows you to do CRUD requets using Google Sheets.
Disclaimer: I work at Kodem

Accessing and manipulating Google Sheets in iOS

I'm attempting to use Google Sheets as a back-end for an iOS app. The spreadsheets in question are private, so will require Oauth 2.0 for interactions.
So far I have come across three different ways to access spreadsheet data, but I'm not sure which one is the right one.
GData library
Google API Client
Google Apps Script
Has anyone here found success with any of these options, and if so how?
Rather than any of the options you've listed, you should be looking at the
Apps Script Execution API, which is a supported component of the Google Apps Script environment. It was introduced just over a month ago, in response to the growing demand for ubiquitous access to Google Apps.
As for the "how" - the Quick Start should get you started.

Is it feasible to do recommendation with Parse and only iOS devices?

I am currently working on a social-networking based app on iOS. I try the online DB service and cloud service provider "Parse". But what i really do through this platform is just to retrieve data for the "users","messages" and "activities" in that DB.
I want to implement the recommendation function into my app which requires some sort of logic after the retrieval of the data. Is it feasible to integrate some of this logic into the "Parse" platform and avoid setting up the server?
If I understand your question correctly, you are asking if you can have server side logic run on the Parse side? Yes, you can and this is fairly standard practice in the Parse universe. You an use Cloud Code, which is Javascript run on the parse servers and you can link the scripts in to before you save objects, after you save objects, or just standalone functions. Here are some details:
https://parse.com/docs/cloud_code_guide
Hope that helps!

Using google endpoints with sql

I'm still new to GAE, and I would like to have more wisdom about couple of things.
I searched in documentation, but I think I'm just too stupid to understand some things from documentation.
How can I combine Google Cloud SQL with endpoints? Is there such possibility?
How can I use endpoints to upload videos to google platform?
You should be able to use anything you can do on a non cloud endpoints api to cloud endpoints like google cloud sql. But since it's on preview you might encounter bugs/changes when it goes out of preview. You should create a Cloud SQL tests models on regular app engine app then try to use it on cloud endpoints, so you can minimize debugging for errors.
https://developers.google.com/appengine/docs/python/cloud-sql/
You will need to use a blobstore api:
https://developers.google.com/appengine/docs/python/blobstore/
on your endpoints have a method that creates the upload url and use that to upload from your app then on the uploadHandler it will trigger once the whole file has been uploaded, process your blobInfo key store it appropriately.

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