I am looking to create a view that upon form submission, uploads an image to Google Cloud Storage, and have a python script run on that uploaded image right after. How would I implement this python script into my Rails application?
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I have a python programs & classes combined together by main.py for the backend algorithms and works. I was developing the app for android using Jetpack compose in android studio.
Last week I started my research for cloud services that can run my python programs for my android.
I find that App Engine of Google Cloud Platform and Firebase. But after looking for tutorials I couldn’t find a way to work with App engine so I decided to go for Firebase.
In Firebase page, they had a service called - Cloud function. Now as per my understanding even I if I had gone with App engine, I would have used the Cloud function too.
How my app works?
My app is a social media app. I have a MongoDB server cluster in MongoDB Atlas that store every data. For authentication I had decided to go just for plain custom username & password stored encrypted on my same MongoDB server, but I was open to Firebase Authentication too. Since my app had a feed where photos, videos are stored - I needed a cloud storage for that. I found that Google Cloud storage for that.
So back to my question. Is there any service that is server-less (as I’ve very less people in my team to manage a server too) that can run Python programs for different requests from different users of my android app.
For sake of comparison, my app can be compared to Instagram without Reels!
My question is how to upload my python project, which contains different classes that are used to as algorithms for my app. It's like this, for ex., if an user goes to feed page then it has to call function in my python program that gets the feeds as per calling user's preference & followed accounts. My understanding is that I have to call this function from my android app.
I need help to find a tutorial for following things:
How to set up Firebase or App Engine & implement it in Android Studio
How to deploy my python files to firebase or App Engine for Cloud Functions
How to call this function from Android app (Kotlin + Compose) and receive in Python.
Note: I've already implemented the class that communicate with my MongoDB Atlas, So I also have functions in Python that updates the MongoDB.
Finally, how to upload the files from user input in Android app to Cloud Storage through my Python functions. And how to download files from Cloud Storage to Android app through my Python functions.
I've developed a website for uploading and downloading images using Django. I've also written a python code using the Google Vision API and executed the file successfully on the command line. Now, where should I place that python code in my Django project, so that my images pass through the API?
I am pretty new Google app engine, and though I have hacked around with alot of languages, I am finding the google documentation a little overwhelming. I have successfully launched a static site, and successfully run some python code from the console. But I have not run any python from my static site.
I am a Small company trying to setup a google app engine static/dynamic website that I only want to expose to my Gsuite users.
I have some python code I want to run on my app engine, which will download a file from gdrive/teamdrive, process the file, create a new file from the results and then upload the resulting file to the same folder.
I may also at a later date have this static/dynamic website also interfacing with Cloud SQL(mysql) or an external database.
my Questions
What authentication method to use to only expose this website to my gsuite users?
Though I have worked through some of the GDrive api examples whats the best and easiest method of passing GDrive text files to my python code? (though I have hacked around with python lots in the past, the html and python combination perplexes me)
Thanks!
You would use OAuth2.0 to acquire a token which you can then use to interact with that user's files through the GDrive API (see "About Authorization" as well as this quickstart Python example).
Is it possible to have a standalone Python script on my local machine connect to and store data in GCP Datastore?
I have a text file with tonnes of structured data. I just want to store it in a NoSQL GCP datastore. I don't want to have to create a web app or anything, just a python script to open the file, read each line and store it in a cloud datastore.
All the tutorials I see online start with some Flask/Jinja app on App Engine or something and I feel this is overkill.
This tutorial shows how to build a simple command-line TaskList application that stores data in the Google Cloud Datastore API. You could adapt it to read data from a text file.
I need to export my blobstore from one appengine project and upload it to another project. How can I switch between projects programmatically with python?
If by "python" you mean a python GAE app's code itself - AFAIK you can't switch apps - each such code runs only inside the app specified in the .yaml file.
You could teach the exporting app project to serve the blob and for the actual transfer you could either:
have the receving app directly pulling the blobs from the exporting app
have an external (python) script pull blobs from the exporting apps and uploading them to the importing app.
Either way you'd need to write some code to actually perform the transfer.
So instead of doing that, I'd rather write and execute a one-time conversion script to move the data from blobstore (presently shown in the GAE python docs under Storing Data > Superseded Storage Solutions section on the left-side menubar) to the Datastore or GCS, both of which have better backup/restore options, including across apps :) GCS can probably be even used to share the same data across apps. And you can still serve the GCS data using the blobstore API, see Uploading files directly to Google Cloud Storage for GAE app
If you mean some external python app code - AFAIK the blobstore doesn't offer generic access directly to an external application (I might be wrong, tho). So an external app would need to go through the regular upload/download handlers of the 2 apps. So in this case switching between projects really means switching between the 2 apps' upload/download URLs.
Even for this scenario it might be worthy to migrate to GCS, which does offer direct access, see Sharing and Collaboration