import numpy as np
import glob

list_dat = []

def parse_snd(filename):
    #icao,iata,synop,name,state,country,lat,lon,elev,priority,srcid
    ## split the file on newline characters
    ## and then split each line on whitespace
    ## and remove the empty strings
    file = open(filename)
    lines = file.readlines()
    for i in range(0, len(lines)):
        lines[i] = filter(None, lines[i].strip("\n").split(" "))

    ## get the meta information for the site
    time = lines[2][-1]
    stid = lines[2][2]
    slon = lines[3][5]
    slat = lines[3][2]
    selv = lines[3][-1]

    write_csv("new_mpas.csv", name=stid, lat=slat, lon=slon, elev=selv, srcid=stid)

def write_csv(outfile, **kwargs):
    icao = kwargs.get("icao", "")
    iata = kwargs.get("iata", "")
    synop = kwargs.get("synop", "")
    name = kwargs.get("name", "")
    state = kwargs.get("state", "")
    country = kwargs.get("country", "")
    lat = kwargs.get("lat", "")
    lon = kwargs.get("lon", "")
    elev = kwargs.get("elev", "")
    priority = kwargs.get("priority", "")
    srcid = kwargs.get("srcid", "")

    list_dat.append(icao + "," + iata + "," + synop + "," + name + "," + state + "," + country + "," + lat + "," + lon + "," + elev + "," + priority + "," + srcid + "\n")

if __name__ == "__main__":
    sndfiles = glob.glob("./2016050300/*.snd")
    
    outfile = open("new_mpas.csv", "a+")
    
    for file in sndfiles:
        parse_snd(file) 
   
    outfile.write("icao,iata,synop,name,state,country,lat,lon,elev,priority,srcid\n")
    list_dat = set(list_dat)
    for line in list_dat:
        outfile.write(line)
    outfile.close()