/vam100000

Primary LanguageTypeScript

Vam100000 Project

Local setup

  • Create database and populate .env file
  • Run npm install
npm i
  • Run migrations and seed data
 npx knex migrate:latest
 npx knex seed:run
  • To run project locally use
npm run start

Running tests

  • create test db and populate env
  • Run migrations using
npx knex migrate:latest --env test
  • Run tests
npm run test

Performance

Only count endpoint can become bottleneck. Tested it with 10 Lac patients data and response time is close of 65ms. To test, run seed first it will add 10 Lac patients data. Then run endpoint and count time or use below query in psql.

explain analyse
select count(*)
from patients p
where p.weight_kg / ((p.height_cm ^ 2) / 10000) >= 25
  and p.weight_kg / ((p.height_cm ^ 2) / 10000) < 30;

Deployment

  • Added Github workflow to deploy this app, rename file .github/workflows/deploy.yml.example to .github/workflows/deploy.yml
  • Add server's ssh key to Github's deploy keys
  • Create new pair of SSH keys and add private to Github secret with name SSH_KEY and add public key to the server's authorized keys
  • Add server's IP to Github secret's using name SERVER_IP
  • Github will automatically deploy to the server on every commit to master.

Nginx config

limit_req_zone $binary_remote_addr zone=ip:10m rate=5r/s;
server {
    server_name example.com;
    listen  80;
    gzip on;
    gzip_types      text/plain application/json;
    gzip_min_length 128;
    client_max_body_size 1M;
    
        location / {
            proxy_set_header   X-Forwarded-For $remote_addr;
            proxy_set_header   Host $http_host;
            proxy_pass         http://127.0.0.1:4000;
            limit_req zone=ip burst=12 delay=8;
        }
}