redd4ford / social-network

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social-network

This project was developed with: Python 3.8, Django 4.0.7, PostgreSQL 14

Uses libraries: Django Rest Framework, DRF-Spectacular, DRF-Nested-Routers, SimpleJWT, DRF-YASG & Swagger, Django-Environ, Django-Filter, Django-Injector, Django-Prometheus.


Setup

Manual

  • Create venv: python -m venv /path/to/venv
  • Activate venv:
    • Linux/MacOS: source venv/bin/activate
    • Windows: venv\Scripts\activate
  • Install requirements: pip install -r requirements.txt
  • Create a PostgreSQL database
  • Create socialnetwork/.env file based on .env.example
    • To generate SECRET_KEY, use: python -c 'from django.core.management.utils import get_random_secret_key; print(get_random_secret_key())'
  • Run migrations: python manage.py migrate
  • Start the server: python manage.py runserver
  • Find the OpenAPI here: http://127.0.0.1:8000/schema/swagger-ui/#/

Using Docker

Docker-compose creates four containers:

  1. db for PostgreSQL 14 image;
  2. api for the Django app;
  3. prometheus for Prometheus, the monitoring tool;
  4. grafana for Grafana, the monitoring metrics visualization tool. Grafana's container comes with a pre-imported dashboard from here.
  • Create socialnetwork/.env file based on .env.example
    • To generate SECRET_KEY, use: python -c 'from django.core.management.utils import get_random_secret_key; print(get_random_secret_key())'
    • If you want to make the app accessible via LAN or globally, you'll need to add your local/global IP address to DJANGO_ALLOWED_HOSTS. Otherwise, leave the default values.
  • Run docker-compose: docker-compose up -d
  • You can check the logs:
    • To get the last 100 log lines: docker logs api --tail 100
    • To attach to the container's logs: docker logs --follow api
  • Or get inside the container: docker exec -it api /bin/bash
  • Find the OpenAPI here: http://127.0.0.1:8000/schema/swagger-ui/#/
  • Find Grafana here: http://127.0.0.1:3000/
  • Find Prometheus metrics here: http://127.0.0.1:9090/

Implemented

  • Models: User, Post, Like
  • Endpoints: Post CRUD, Post like/unlike, User sign up/sign in/sign out/refresh (JWT-based), user activity, likes analytics (by post, by user, by dates (date_from, date_to))

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