Technical test for the Python Developer position at Globant.
This app is currently deployed at https://rocky-inlet-31249.herokuapp.com/weather :)
Request example:
GET https://rocky-inlet-31249.herokuapp.com/weather?country=co&city=bogotaResponse:
{
"location_name": "Bogotá, CO",
"temperature": "14 °C",
"wind": "Light breeze, 3.1 m/s, Northwest",
"cloudines": "Scattered clouds",
"presure": "1024 hPa",
"humidity": "82%",
"sunrise": "05:40",
"sunset": "17:38",
"geo_coordinates": "[4.61, -74.08]",
"requested_time": "2020-10-30 01:22:09"
}This instructions assume you are using bash, with python3, pip, and python3-venv installed.
Installation:
- Download the code
- Create virtual environment
- Install requirements
git clone https://github.com/cazdlt/WeatherAPI.git
cd WeatherAPI
python3 -m venv .venv
source .venv/bin/activate
pip install -r requirements.txtConfiguration:
- Done through environment variables
export OPEN_WEATHER_API_KEY="your_valid_open_weather_api_key"
export SECRET_KEY="replace_me"Run the app:
flask runOriginal requirement
Goal:
Create a Weather API using any framework you prefer.
General rules:
- Commit your changes frequently to a public repository in Github.
- Add a readme file with instructions to run the code
Support the following endpoints
GET /weather?city=$City&country=$Country&{
"location_name": "Bogota, CO",
"temperature": "17 °C",
"wind": "Gentle breeze, 3.6 m/s, west-northwest",
"cloudines": "Scattered clouds",
"presure": "1027 hpa",
"humidity": "63%",
"sunrise": "06:07",
"sunset": "18:00",
"geo_coordinates": "[4.61, -74.08]",
"requested_time": "2018-01-09 11:57:00"
}- City is a string. Example: Medellín
- Country is a country code of two characters in - lowercase. Example: co
- This endpoint should use an external API to get the - proper info, here is an example: OpenWeatherMap
- The data must be human-readable
- Use environment variables for configuration
- The response must include the content-type header - (application/json)
- Functions must be tested
- Keep a cache of 2 minutes of the data. You can use a persistent layer for this.