Weather Project

Steps to run weather system that will determine the weather of the current location as well as the booking location.

The system is built using a Django framework with the Django Rest Framework for the API aspect.

API endpoint looks like this:

/weather?current_location=-33.927407,18.415747&booking_location=-32.927407,19.415747

JSON returned in a format such as this:

{
  "current_location": {
    "date": "2019-12-12",
    "type": "clear-day",
    "description": "Clear throughout the day",
    "temperature": 21.94,
    "wind": {
      "speed": 4.66,
      "bearing": 147,
      "gust": 11.25
    },
    "rain_prob": 0,
    "latitude": -33.927407,
    "longitude": 18.415747
  },
  "booking_location": {
    "date": "2019-12-12",
    "type": "cloudy",
    "description": "Overcast",
    "temperature": 19.67,
    "wind": {
      "speed": 4.66,
      "bearing": 147,
      "gust": 11.25
    },
    "rain_prob": 35,
    "latitude": -32.927407,
    "longitude": 19.415747
  }
}

Install Python 3.7

Once Python is installed install virtualenv using the below command:

pip install virtualenv

Create virtual enviroment using the following command:

virtualenv venv_weather

Activate the virtual enviroment.

On Windows use the following.

venv_weather\Scripts\activate.bat

Install the required packages, using pip and the requirements file.

pip install -r requirements.txt

Run the django migrate

python manage.py migrate

Create a super user to access the admin interface, follow the promtes.

python manage.py createsuperuser

Run the Django built in testing using the following command:

python manage.py test

Run the server

python manage.py runserver

Open Docker and navigate to the application via the Docker terminal. Once at the application run the following commands:

docker-compose up -d --build

Once everything is done, run the next command:

docker-compose up

Once the web service is running you can use the system on the following URL: http://192.168.99.100:8000/

To stop Docker once is running press CNTRL + C. Once the web service has stopped. Run the following command:

docker-compose down