README.md

Backend APIs

This repo contains backend REST API for Smart Waste Segregator and Route Planner.

Prerequisites

AWS

• Create new user for AWS Rekognition service from IAM dashboard

• Create new policy with below JSON rules

  {
    "Version": "2012-10-17",
    "Statement": [
        {
            "Sid": "VisualRecognitionAccess",
            "Effect": "Allow",
            "Action": [
                "rekognition:DetectLabels"
            ],
            "Resource": "*"
        }
    ]
  }

• Create programmatic access keys for the user

• Update access keys in .env file

Installation

• clone/download this repo

  git clone https://github.com/SmartWasteSegregatorAndRoutePlanner/Backend-APIs.git

• Change directory

  cd Backend-APIs

• Install requirements

  • Install Poetry

  • Install virtualenv

    python -m pip install virtualenv

  • Create Virtual env

    python -m virtualenv env

• Install dependencies

  poetry install

• Create Migrations

  python manage.py makemigrations

• Migrate DB

  python manage.py migrate

• Collect Static Files

  python manage.py collectstatic

• Generate DJANGO_SECRET_KEY using below command:

  python -c "from django.core.management.utils import get_random_secret_key; print(get_random_secret_key());"

• Update .env file

  DJANGO_SECRET_KEY=l#kcn**xhq(mux@h4w_+nk1n($y2krhgoo9mab5ur^ebgh8y(6
  DEBUG=False
  ALLOWED_HOSTS=*
  AWS_ACCESS_KEY_ID=your-aws-access-key-id
  AWS_SECRET_ACCESS_KEY=your-aws-secret-access-key
  AWS_DEFAULT_REGION=your-aws-region

• Start Web Application

  python manage.py runserver 0.0.0.0:8000

  Note: Allow Port 8000 through firewall.

Common Installation Error Fix Cases on Windows

• Check python installed arch version using

  import struct
  print(struct.calcsize("P") * 8)

• Fiona and GDAL needs to be installed manually using pre-complied wheel package

  python -m pip install <path-to-wheel-file>

  Note: Check python version 3.x and cpu arch then download wheel file accordingly