Use NASA’s public HTTP APIs to create a function which determines which of three locations has seen the brightest shooting stars since 2017.
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Documentation for the API you'll be using:
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Implement a function fireball() whose function signature looks like this (can differ slightly depending on the language you chose):
Object fireball(double latitude, double longitude)
When there is enough data to do so, the function should return the brightness and location for the brightest shooting star seen since 2017 at the given location.
The human eye can see a lot of the night sky, so give your latitude and longitude a buffer of +/- 15. For example, if you are looking for shooting stars at the Delphix SF Office 37.7937007 N, 122.4039064 W You would look for shooting stars within these coordinates: (22.7937007 <--> 52.7937007 N, 107.4039064 <--> 137.4039064 W)
Note that Latitude and Longitude can be written in a few different formats. We suggest either using Signed Degrees, or Degrees plus Compass Direction:
Signed Degrees:
- Latitudes range from -90 to 90.
- Longitudes range from -180 to 180.
Degrees plus Compass Direction: Latitudes range from 0 to 90. Longitudes range from 0 to 180. Use N, S, E or W as either the first or last character, which represents a compass direction North, South, East or West.
The brightness should be determined using the energy from each shooting star (a higher ‘energy’ meaning a brighter star).
You can use the https://ssd-api.jpl.nasa.gov/doc/fireball.html API to get the information you will need to compute this.
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With your fireball() function, determine which of three locations had the brightest shooting star since 2017. Print out the location and brightness for that star.
Use these Office Locations to figure out which Office saw the brightest star since 2017 (2017-01-01 -> 2020-01-01)
Boston - latitude: 42.354558N, longitude: 71.054254W NCR - latitude: 28.574389N, longitude: 77.312638E San Francisco - latitude: 37.793700N, longitude: 122.403906W