#!/usr/bin/python

'''This script is used to get all metrics with file containing records of ranked ground turth to queries and k as input. See paper "Gradient descent optimization of smoothed information retrieval metrics" for more details'''

import ndcg

import ap

import sys

import re

import p

##

## here is the main function

##

k=[1,3,10]

if len(sys.argv)<2:

print "arguments missing"

sys.exit()

f = open(sys.argv[1])

ttl1 = 0

ttl3 = 0

ttl10 = 0

p1 = 0

p3 = 0

p10 = 0

apTtl = 0

qCount = 0

count1 = 1

count3 = 1

count10 = 1

while 1:

line = f.readline()

if not line:

break;

arrays = re.split(r" ",line)

#print arrays

s = [float(i) for i in arrays]

#print s

qCount += 1

apTtl += ap.get_ap(s)

for tmp_k in k:

if len(line)<(4*tmp_k-1):

continue;

if tmp_k ==1:

ttl1 += ndcg.get_ndcg(s, tmp_k)

p1 += p.get_p(s,tmp_k)

count1 = count1 + 1

if tmp_k ==3:

ttl3 += ndcg.get_ndcg(s, tmp_k)

p3 += p.get_p(s,tmp_k)

count3 = count3 + 1

if tmp_k ==10:

ttl10 += ndcg.get_ndcg(s, tmp_k)

p10 += p.get_p(s,tmp_k)

count10 = count10 + 1

print "NDCG@1: %f, NDCG@3: %f, NDCG@10: %f, MAP: %f"%(ttl1/count1,ttl3/count3,ttl10/count10, apTtl/qCount)