# 
# Example file for parsing and processing JSON
# (For Python 3.x, be sure to use the ExampleSnippets3.txt file)

import urllib2
import json
  
def printResults(data):
  # Use the json module to load the string data into a dictionary
  theJSON = json.loads(data)
  # now we can access the contents of the JSON like any other Python object
  if "title" in theJSON["metadata"]:
    print theJSON["metadata"]["title"]

  # output the number of events, plus the magnitude and each event name  
  count = theJSON["metadata"]["count"];
  print str(count) + " events recorded"

  # for each event, print the place where it occurred
  # for i in theJSON["features"]:
  #   print i["properties"]["place"]

  # print the events that only have a magnitude greater than 4
  # for i in theJSON["features"]:
  #   if i["properties"]["mag"] >= 4.0:
  #     print "%2.1f" % i["properties"]["mag"], i["properties"]["place"]   
      
  # print only the events where at least 1 person reported feeling something
  print "Events that were felt:"
  for i in theJSON["features"]:
    feltReports = i["properties"]["felt"]
    if (feltReports != None) & (feltReports > 0):
      print "%2.1f" % i["properties"]["mag"], i["properties"]["place"], " reported " + str(feltReports) + " times"
       

def main():
  # define a variable to hold the source URL
  # In this case we'll use the free data feed from the USGS
  # This feed lists all earthquakes for the last day larger than Mag 2.5
  urlData = "http://earthquake.usgs.gov/earthquakes/feed/v1.0/summary/2.5_day.geojson"

  # Open the URL and read the data
  webUrl = urllib2.urlopen(urlData)
  print webUrl.getcode()
  if (webUrl.getcode() == 200):
    data = webUrl.read()
    # print out our customized results
    printResults(data)
  else:
    print "Received an error from server, cannot retrieve results " + str(webUrl.getcode())

if __name__ == "__main__":
  main()
