I have a python script (on my local machine) that queries Postgres database and updates a Google sheet via sheets API. I want the python script to run on opening the sheet. I am aware of Google Apps Script, but not quite sure how can I use it, to achieve what I want.
Thanks
Google Apps Script runs on the server side, so it can't be used to run a local script.
you will need several changes. first you need to move the script to the cloud (see google compute engine) and be able to access your databases from there.
then, from apps script look at the onOpen trigger. from there you can urlFetchApp to your python server to start the work.
you could also add a custom "refresh" menu to the sheet to call your server which is nicer than having to reload the sheet.
note that onOpen runs server side on google thus its impossible for it to access your local machine files.
Related
I have a Google Colab Notebook that is using psycopg2 to connect with a free Heroku PostgreSQL instance. I'd like to share the notebook with some colleagues for educational purposes to view and run the code.
There is nothing sensitive related to the account / database but would still like to hide the credentials used to make the initial connection without restricting their access.
My work around was creating a Python module that contained a function who performed the initial connection with credentials. I converted the module into a binary .pyc, uploaded it to Google Drive, downloaded the binary into the Notebook's contents via shell command then used it as an import.
It obviously isn't secure but provides the obfuscation layer I was looking for.
I'm using selenium in order to extract some data (as a json file). This json is the final output of the script.
I've managed to do it locally so far in two different ways:
With a local webdriver (for Chrome).
With a Docker container.
However, I need it to be accessible from anywhere, in systems that don't have either webdrivers/Docker installed.
I have thought about deploying the script to Heroku and work around that idea, but I have no idea how to handle the data in this situation.
I think that cloud services are meant for these situations.
A storage account (S3 in Amazon or Blob Storage for Azure) allows you to acces the data from anywhere, and without almost any limitation of space, using its API or by using their SDK's.
Also you can specify access policies if your data should not be publicly accessible.
As you have already developed your script into a Docker conatiner, your are ready to run it in almost every cloud provider (for example in Amazon ECR).
I have a python script that uses a python api to fetch data from a data provider, then after manipulating the data, writes some of that data to Google Sheets (via the Google Sheets python api). So my workflow to update the data is to open the python file in VS Code, and run it from there, then switch to the spreadsheet to see the updated data.
Is there a way to call this python script from Google Sheets using Google Apps Script? If so, that would be more efficient; I could link the GAS script to a macro button on the spreadsheet.
Apps Script runs in the cloud at Google's servers rather than in your computer, and has no access to local resources such as Python scripts in your system.
To call a resource in the cloud, use the URL Fetch Service.
Currently, I am using following hack.
The appsscript behind gsheet command button writes parameters in a sheet called Parameters. And the python function on my local machine checks that Parameters sheet in that google workbook every 5 seconds. If there are no parameters, then it exists. And if there are parameters, then it executes the main code
When the code is deployed on service account, the portion which is polling remains inactive. And the appsscript directly makes a call directly to python code in service account.
There are many reasons why I need to call python function on LOCAL machine from gsheet. One reason is --- debugging is better in local machine and cumbersome on service account. Another reason is --- certain files can be put on local machines and we do not want to move these files to workspace. And gsheet needs data from these files.
This is a HACK I am using
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I am looking for a better way that this "python code keeps polling" method.
I have a script that uses requests library. It is a web scaper that runs for at least 2 days and I don't want to leave my laptop on for that long. So, I wanted to run it on the Cloud but after a lot of trying and reading the documentation, I could not figure out a way to do so.
I just want this: When I run python my_program.py it shows the output on my command line but runs it using Google Cloud services. I already have an account and a project with billing enabled. I already installed the GCP CLI tool and can run it successfully.
My free trial has not ended. I have read quickstart guides but as I am fully beginner regarding the cloud, I don't understand some of the terms.
Please, help me
I think you'll need to setup a Google Cloud Compute Engine instance for that. It's basically a reserved computer/machine where you can run your code. Here's some steps that you should do just to get your program running on the cloud.
Spin up a Compute Engine instance
Gain access to it (through ssh)
Throw your code up there.
Install any dependencies that you may have for you script.
Install tmux and start a tmux session.
Run the script inside that tmux session. Depends on your program, you should be able to see some output inside the session.
Detach it.
Your code is now executing inside that session.
Feel free to disconnect from the Compute Engine instance now and check back later by attaching to the session after connecting back into your instance.
I have a windows application built with progress openedge technology.
I have created a python script to generate an excel file but I need to deploy it to the client and im afraid of requiring special permissions on the client side if I compile it to .exe and attempt to run it.
Can someone suggest me a method to be able to integrate python with my project smoothly without breaking anything?
You could compile it on your own machine then try to run it while logged in as a guest user. If a guest account can run it without complaints it will probably run fine on the client machine.
This is crude because you still haven't tested all possible client platforms (unless you're talking about one specific client), also we don't know what's inside your script.
Use icacls to set appropriate permissions of your compiled script before shipping.
I'm not sure about the special permissions thing, but is it possible for you to turn your script into a CGI program and stick it on your webserver, or wrapper it with WebSpeed? Then your app could call a web service to get the .xls file.