code challenge for integrating data from two different APIs
- 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
- 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-serverto demo on your machine- if you have any secrets, put them in a
.envfile 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 shellto sandbox ideas- travelling to the
/questionsendpoint will show all questions - travelling to the
/answers/<year>will show pertinent data
- if you have any secrets, put them in a
- run
make dev-deployto 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:8080to access the app make cleangets rid of everythingvagrant sshto poke around the VPS, but you shouldn't need to :)