pyModeS/tests/sample_run_commb.py

from __future__ import print_function
from pyModeS import commb, common, bds

# === Decode sample data file ===

def bds_info(BDS, m):
    if BDS == "BDS10":
        info = [commb.ovc10(m)]

    elif BDS == "BDS17":
        info = ([i[-2:] for i in commb.cap17(m)])

    elif BDS == "BDS20":
        info = [commb.cs20(m)]

    elif BDS == "BDS40":
        info = (commb.selalt40mcp(m), commb.selalt40fms(m), commb.p40baro(m))

    elif BDS == "BDS44":
        info = (commb.wind44(m), commb.temp44(m), commb.p44(m), commb.hum44(m))

    elif BDS == "BDS44REV":
        info = (commb.wind44(m, rev=True), commb.temp44(m, rev=True), commb.p44(m, rev=True), commb.hum44(m, rev=True))

    elif BDS == "BDS50":
        info = (commb.roll50(m), commb.trk50(m), commb.gs50(m), commb.rtrk50(m), commb.tas50(m))

    elif BDS == "BDS60":
        info = (commb.hdg60(m), commb.ias60(m), commb.mach60(m), commb.vr60baro(m), commb.vr60ins(m))

    else:
        info = None

    return info


def commb_decode_all(df, n=None):
    import csv

    print("===== Decode Comm-B sample data (DF=%s)=====" % df)

    f = open('tests/data/sample_data_commb_df%s.csv' % df, 'rt')


    for i, r in enumerate(csv.reader(f)):
        if n and i > n:
            break

        ts = r[0]
        m = r[2]

        df = common.df(m)
        icao = common.icao(m)
        BDS = bds.infer(m)
        code = common.altcode(m) if df == 20 else common.idcode(m)

        if not BDS:
            print(ts, m, icao, df, '%5s'%code, 'UNKNOWN')
            continue

        if len(BDS.split(",")) > 1:
            print(ts, m, icao, df, '%5s' % code, end=' ')
            for i, _bds in enumerate(BDS.split(",")):
                if i == 0:
                    print(_bds, *bds_info(_bds, m))
                else:
                    print(' ' * 55, _bds, *bds_info(_bds, m))

        else:
            print(ts, m, icao, df, '%5s'%code, BDS, *bds_info(BDS, m))


if __name__ == '__main__':
    commb_decode_all(df=20, n=100)
    commb_decode_all(df=21, n=100)