Temperature by Location

Simple web application that allows users to view the current temperature at a given location.

Demo. (Temporary)

This application was developed in Python 3.6, using Django, PostgreSQL, Docker, docker-compose and nginx.

1. Use the Google Geocoding API to get the latitude/longitude for a given user input, as well as the city and state name.
2. Use the Dark Sky API to get the temperature for a given latitude/longitude.
3. Assume the temperature doesn't vary within the same latitude/longitude, with three decimal cases precision, within an 1-hour window.
4. Track service usage by IP (how many times this IP used the service).
5. Export service usage by IP for each day through a custom management command. With JSON format.

How to Setup

Clone:

• git clone https://github.com/philippeoz/temperature_by_location.git

We have two ways to run:

• With Docker:
  1. Install Docker
  2. Install docker-compose
  3. cd temperature_by_location to enter on project dir.
  4. Add a settings.env file with some configurations: DEBUG, GOOGLE_API_KEY, DARK_SKY_API_KEY
  5. docker-compose up --build or docker-compose --build -d (daemon)
• With virtualenv:
  1. Install Postgresql and create a database (we will call database).
  2. Install Pipenv: pip install pipenv
  3. Enter on project dir: cd temperature_by_location
  4. pipenv install
  5. cd app
  6. Inside of 'app' dir, create a settings.ini file with some configs:

     [settings]
     DEBUG=True
     DATABASE_URL=postgres://username:password@host/database
     GOOGLE_API_kEY=faskdjfhaskldfYOURKEYdsjfasfl
     DARK_SKY_API_kEY=faskdjfhaskldfYOURKEYdsjfasfl
     

     There are more environment variables that can be configured in settings.ini, see in the settings module.
  7. From here you can choose to enter on virtualenv with pipenv shell or run the commands from outside with pipenv run python, the example will be outside of env, to do inside just remove the pipenv run.
  8. pipenv run python manage.py migrate
  9. pipenv run python manage.py runserver