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nasanomics

code challenge for integrating data from two different APIs

Instructions:

  • hit data.nasa.gov and beta.data.worldbank.org
    • do not download any datasets
  • only look at data from 2008 - 2010
  • use the data to answer the questions
    • use other APIs if necessary
    • answers should be in the following format:

Q: How many records are in the dataset? A: 45,716

  • ignoring irrelevant data is okay (for now..)
  • use Python 3 and any libraries you feel are of use

Usage:

  • clone the repo
  • run make venv (to create the virtualenv)
  • activate the virtual env (e.g. source venv/bin/activate)
  • run make install
  • run make dev-server to demo on your machine
    • if you have any secrets, put them in a .env file at the project root like so:
      • NASA_APP_TOKEN=thisisanapptoken...
      • NASA_SECRET_TOKEN=thisisasecret...
    • be sure you have a redis instance up and running (e.g. $ redis-server)
    • make shell to sandbox ideas
    • travelling to the /questions endpoint will show all questions
    • travelling to the /answers/<year> will show pertinent data
  • run make dev-deploy to demo on a debian/jessie64 box
    • nginx fields http requests and forwards them to a uwsgi app server hosting a Flask app
    • go to localhost:8080 to access the app
    • make clean gets rid of everything
    • vagrant ssh to poke around the VPS, but you shouldn't need to :)