import json

def jaccard_similarity(userQuestion, questionBank):
    s1 = set(userQuestion)
    s2 = set(questionBank)
    return float(len(s1.intersection(s2)) / len(s1.union(s2)))

def most_likely(userQuestion):
  likelihoodScore = []
  fileObject = open("faq.json", "r")
  jsonContent = fileObject.read()
  aList = json.loads(jsonContent)
  for json_object in aList:
  	likelihoodScore.append(jaccard_similarity(userQuestion, json_object['question']))
  #print(likelihoodScore)
  
  mostLikelyIndex = likelihoodScore.index(max(likelihoodScore))
  mostLikely = aList[mostLikelyIndex]
  
  return mostLikely

def main():
  print("Hello, I am a question answering bot.\n")
  userQuestion = ''
  while True:
    userQuestion = input('Please enter a question, and press the ENTER key: \n').strip()
    if userQuestion:
      likelyQuestion = most_likely(userQuestion)
      print ("I think that you asked " + "'" + (likelyQuestion['question']) + "'" + " and conclude that the answer is " + "'" + (likelyQuestion['answer']) + "'.\n")
      # Open the file in append & read mode ('a+')
      with open("asked_questions_log.txt", "a+") as file_object:
        file_object.seek(0) # Move read cursor to the start of file.
        data = file_object.read(100)
        if len(data) > 0 :
          # Append text at the end of file
          file_object.write("\n")
          file_object.write(userQuestion)
      
      
    else :
      print ("Goodbye!")
      exit()

if __name__ == "__main__":
  main()