song_cloud

Song Cloud 🎶

Introduction

Minimal sound cloud, written by Elahe Dastan just for having fun with SQL-based databases. Users can have free or premium accounts. They can listen to musics, and we track they playlist. Musics have categories which are predefined. Users can buy musics or like them.

This project is solely written for demonstration, and it has many performance issues.

Requests

Password validation failed on database side:

curl -d '{ "username": "elahe", "first_name": "Elahe", "last_name": "Dastan", "email": "elahe.dstn@gmail.com", "password": "1234" }' -H 'Content-Type: application/json' 127.0.0.1:8080/api/signup

User creation completed:

curl -d '{ "username": "elahe", "first_name": "Elahe", "last_name": "Dastan", "email": "elahe.dstn@gmail.com", "password": "123456abc" }' -H 'Content-Type: application/json' 127.0.0.1:8080/api/signup

Extend premium period:

curl -d '{ "username": "elahe", "duration": 100000000000 }' -H 'Content-Type: application/json' 127.0.0.1:8080/api/extend

Create new free song:

curl -d '{ "name": "elahe", "file": "elahe.mp3", "production_year": 2021, "explanation": "new awesome song" }' -H 'Content-Type: application/json' 127.0.0.1:8080/api/song

Create new paid song:

curl -d '{ "name": "elahe-p", "file": "elahe.mp3", "production_year": 2021, "explanation": "new awesome song", "price": 100 }' -H 'Content-Type: application/json' 127.0.0.1:8080/api/song

Play a song:

curl -d '{ "id": 2, "username": "elahe" }' -H 'Content-Type: application/json' 127.0.0.1:8080/api/play

Create a category:

curl 127.0.0.1:8080/api/category/pop

Assig a song to a category:

curl -d '{ "id": 2, "category": 1 }' -H 'Content-Type: application/json' 127.0.0.1:8080/api/category

Buy a song:

curl -d '{ "username": "elahe", "song": 1 }' -H 'Content-Type: application/json' 127.0.0.1:8080/api/buy

like a song:

curl -d '{ "username": "elahe", "id": 1 }' -H 'Content-Type: application/json' 127.0.0.1:8080/api/like

Reports

Sum of the users transactions:

select username,sum(purchased_price) from purchase group by purchase.username;

Purchased logs from last 3 hours:

select * from log where log_message like '%purchased%' and time > now() - interval '3 hours';

Users that introduce 2 or more users:

select introducer from introduce group by introducer having count(*) >= 2;

Last year sells:

select sum(purchased_price) from purchase where extract(year from purchased_date) = 2021;

Last year bestseller song:

select * from song where id = (select song_id from purchase where extract(year from purchased_date) = 2021 group by song_id order by count(*) limit 1);