Blato Software Interview

Before we begin:

This is NOT production ready code.
This code is NOT linted. This should be done pre-commit hook and in CI/CD.
No tests for this code has been written.
No depency audit has been done (ex: npm audit). This should be done in CI/CD.
No unused depency check has been done. This should be done in CI/CD.
No frontend and backend validation has been done for the data input because of time constraints. In production project, this should be done.
I'm very new to python. Python code may not be structured properly. Flask is very similar to node express and working with flask was a breeze.
The import CSV API in this project does not return a response until the job is complete. In realworld, it should return an ACCEPTED response, and when the job is complete - it should send an email to the user.
I've attached the postman-collection with this project, so its easier for you to test API's.
Overall, all the features in this project is complete BUT this project is a hack. It was finished in the short amount of time.
If you'd like to look into quality of my professional projects. I'm more than happy to have a call and show them off to you.
This was done by using Postgres (DB I'm most comfortable with)
FE was done using React (using a generic theme).
I've used flask as py web framework.
Search: I've used LIKE query for search. This is not recommended. You should use search database (like ElasticSearch) in production.

$ export DATABASE_URL="postgresql://username:password@localhost/mydatabase"

$ python manage.py create_db

$ cd static
$ npm install
$ npm build 
$ cd ..

$ python manage.py runserver

You can now access your server at http://localhost:5000

Please import postman collection into Postman and use the "Import CSV Request" to import CSV.

Happy to hear your thoughts and reviews! :)