import string

f = open('data.csv', 'w')

f.write('fieldIdx,seasonIdx,startYear,yearsAveraged,FILE\n')

for fieldIdx, field in enumerate(["sstHADOI", "sssAquarius", "mldHolteTalleyARGO"]):

    for seasonIdx, season in enumerate(["ANN", "JFM", "JAS"]):
        
        for startYear in ["0001", "0002", "0003", "0004", "0005", "0006", "0007", "0008", "0009", "0010", "0011", "0012", "0013", "0014", "0015", "0016", "0017", "0018", "0019", "0020", "0021", "0022", "0023", "0024", "0025", "0026", "0027", "0028", "0029", "0030", "0031", "0032", "0033", "0034", "0035", "0036", "0037", "0038", "0039", "0040", "0041", "0042", "0043", "0044", "0045", "0046", "0047", "0048", "0049", "0050"]:

            for yearsAveraged in ["1", "2", "3", "4", "5", "6", "7", "8", "9", "10", "11", "12", "13", "14", "15", "16", "17", "18", "19", "20", "21", "22", "23", "24", "25", "26", "27", "28", "29", "30", "31", "32", "33", "34", "35", "36", "37", "38", "39", "40", "41", "42", "43", "44", "45", "46", "47", "48", "49", "50"]:

                if string.atoi(startYear) + string.atoi(yearsAveraged) < 52:
            
                    f.write('%d,%d,%d,%d,image/image_files/%s_20170502.beta1_05.A_WCYCL1850S.ne30_oECv3_ICG.edison_%s_years%s-%s.png\n' % (fieldIdx, seasonIdx, string.atoi(startYear), string.atoi(yearsAveraged), field, season, startYear, yearsAveraged))