I am in the process of creating an app that will log certain amounts of data for teachers. While the data will be kept somehow within the app, is there a way to integrate the use of google forms or sheets with the data?
For example, if I use my app to record data (say that a student was coming to class tardy), is there a way to have that data go to a google sheet/form and always see live data as it's being used through my app?
Thanks!
Mike
You can build a form in your app that posts data to a standalone google-app script. The app-script can then append the data to any google sheet you specify. I'd also like to recommend Google data studio for displaying real-time data, as it will save a lot of time on not coding the data display ui.
Related
I have data in a csv file & want to do the following with it:
Log into web site
Populate field of the page with the csv data
Navigate to next page
Input the rest of data
Click submit
Repeat for next line
I can do this using UiPath but it's an expensive option for a relatively simple use case.
Any one any suggestions on how do this using a different method?
Thanks,
EddieT
If you're looking for alternatives then you probably would want to investigate APIs or Webhooks. But that all depends on the access rights you have for that particular website.
Try messaging the Developers of the website you need as they might have this service already available.
UiPath may appear expensive but if you calculate the amount of time saved for this one process then you will see the money savings too.
If you can find a couple of other processes you want to automate then I'd highly recommend it.
For our app we need the app the work offline 100% with the most recent data.
Normally the app uses a symfony api platform API to fetch data paginated server side.
But when someone is using the app in a area without Internet he still need to be able to access all data to make a new job and que it for when he is online.
So our tough is to make a json that has all the data and send it to the phone when the phone has connection.
When the phone is using the app live, it will use pagination from server and fetch data.
And when offline it will use the local downloaded data file.
Problem is the data is large, so storing it is the problem.
We are now using redux persist and we see so many people have problems with crashes and mobile ram.
We also thought of using sqlite or just async to store a json file, or download a sqlite file from the app.
How do you guys feel about this
You can use react-native-local-mongodb. This can help you store a json database on your phone.
Other option is to have react-native-sqlite-storage in case your database has to be relational and requires table.
You will have to sync this local copy with the server once this user is online. This too can be done if you have the timestamp saved of the last sync. So after that, you ll just have to sync the data created after that timestamp.
However, I had also implemented react redux persist and it didnt crash. I suppose, the reason for crash must me something else.
I'm trying to automate some process that requires downloading a custom report created from Shopify Admin daily. I tried resort to Shopify API to manually pull orders via the Order API, however, the process requires going through pagination which took several minutes to go through a few thousands of orders while it will only a few seconds to manually export the csv file from the Shopify Admin page.
So I'm just wondering if it's possible to implement a service that export those custom reports that were created in Shopify Admin into a csv file without human interaction?
Cheers!
Sure. Just write some Javascript to run in the admin that will do the custom report for you, without pushing all the buttons you'd push manually. You can fake being human that way and automate things. Once you have that straightened away, you could setup a service that would run that scripting automatically when you wanted, say on a schedule.
Of course, the old pokey way you pointed out is probably way easier, but as you say, it takes minutes and hey, who has minutes to spare!
I am not sure if it can solve your problem. I use a cloud data platform (not Shopify Apps) called Acho to retrieve data from Shopify and then export the report to Google Sheets automatically. Sometimes, I also create my own reports on the platform before exporting them to Google Sheets. I think it can somehow reduce lots of manual works. You can try its free trial if you are interested.
So I want to transfer information from a returned order from our website and I want to click a button and transfer some of that orders information (date it was received, order #, part#, quantity of # being returned.).
What's the fastest way to do this?
As of right now we are doing google docs spreadsheet to keep track of what is being returned and I am writing down every return manually.
Can we create a script or program that runs everytime this task is performed? It doesn’t seem like a big task but how do I do that?
You can check this API https://developers.google.com/sheets/ This allows for manipulation of data in the Google Excel sheets.
The task is related to Share market.
Currently Omnesys NEST trading terminal provides streaming data for NSE and MCX and so. They also provide an option to link the live share streaming data to EXCEL sheet, and the the market changes are updating to excel sheet for every second.
This is the function used in EXCEL to read the data from NEST terminal:
=RTD("nest.scriprtd",,"mcx_fo|GOLDM15SEPFUT","LTP")
Can anybody help me to extract the live streaming data?
Can you be more specific ? Do you want to develop some live trading strategy using the live data , or do you want to store this data in some database or ....
As an example, you can use pandas DataFrame to retrieve this data into your python program and process it.
UPD:
The NSE NOW terminal is based on Omnesys Nest. I have automated this using AutoIt Check out this link: . The live streaming data from the market watch of Omnesys Nest can be extracted using AutoIt
The github repo for the program is Here