- Clone this repo to your machine
- Get a nasa api key here: https://api.nasa.gov/
- Add your
API_KEYto.envin the root file. ex:API_KEY=MY_KEY - If you are getting this error:
ModuleNotFoundError: No module named 'dotenv', runsudo pip3 install python-dotenv. This means the dependency in the lockfile is not properly working
- Run the test suite with
pytest
- asteroid_closest_approach
- Finds the closest approach out of all of Nasa's NEO data
- How it works:
- Gets every approach from each NEO and sorts by closest approach until there are no more pages left to retrieve. The first result is returned in json format.
- month_closest_approaches(result_size, year, month)
- Finds the closest N amount of approaches in a given month
- How it works:
- Gets every approach from each NEO in a given week and sorts by closest approach. Does this for each week in the month until the final week has been retrieved and sorted.
- asteroid_closest_approaches(result_size = 10)
- Finds the closest N amount of approaches out of all of Nasa's NEO data. Default result size is ten closest approaches
- How it works:
- Gets every approach from each NEO and sorts by closest approach until there are no more pages left to retrieve. The first N results are returned in json format.
- Considered creating an asteroid class but I didn't think that efficiency in code would be improved by adding it. I think it would've made logic and data unraveling more approachable but might have taken away from performance.
- Capped the nearest misses to 200 pages. While this isn't ideal it helped me write and debug code without having to worry too much about hitting the request limit. This also allowed me to delete and reload cassettes when needed.
- Would love to implement some sort of caching. This would improve the runtime a lot and make the end user experience better.
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