def getShortestPath():
'''
This function will find the shortest path between two cities
And calculate the distance, cost and consuming time about the
Shortest path
'''
graph = {}
pathList = None
source = raw_input("Please enter the source city: \n")
destionation = raw_input("Please enter the destination city: \n")
for city in QueryingData.cityDicationary:
graph[city] = UserQuerying.getFlyToCity(city)
pathList = DijkstraAlgorithm.shortestPath(graph, source, destionation)
print "Ths shortest path: "
for city in pathList:
print '>' + city
print ""
distance = CostHelper.calculateDistance(pathList)
cost = CostHelper.calculateCost(pathList)
time = CostHelper.calculateTime(pathList)
print "Total distance is: " + str(distance) + " kilometers"
print "Total cost is: $" + str(cost)
print "Total consuming time is: " + str(time) + " hours"
'''
Created on Feb 27, 2013
@author: shengchao
'''
from DataParse import Parser
from DataParse import QueryingData
from DataParse import UserQueryingExpand
from DataParse import UserQuerying
from DataParse import DijkstraAlgorithm
Parser.Parser()
graph = {}
for city in QueryingData.cityDicationary:
graph[city] = UserQuerying.getFlyToCity(city)
print DijkstraAlgorithm.shortestPath(graph, "Los Angeles", "London")
