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with open('nmea-sample.txt','rt') as file_obj:
nmea_obj = file_obj.readlines()
with open('nmea_data_sample.txt','rt') as file_obj:
nmea_obj += file_obj.readlines()
bad = {}
for k in nmea_obj:
t = k.split(',')
#print()
if t[-1] == '0*26\n' or t[-1] == '0*25\n':
pass
## elif t[0] != "!AIVDM":
## print(t)
## pass
elif t[0][3:] != "VDM":
print(t[0][3:])
pass
elif t[1] == '1':
#print(t)
try:
x = ais.decode(t[-2], 0)
#print(x)
except _ais.DecodeError:
try:
x = ais.decode(t[-2], 1)
#print(x)
except _ais.DecodeError:
try:
x = ais.decode(t[-2], 3)
#print(x)
except Exception as e:
bad[k] = e
print(e)
pass
except Exception as e:
bad[k] = e
print(e)
else:
for i in x:
#print('%s: %s' % (i, x[i]))
pass
elif t[1] == '2' and t[2] == '1':
store = t
elif t[1] == '2' and t[2] == '2':
try:
#store += t
#print(store)
#print(t)
x = ais.decode(store[-2] + t[-2], 2)
#print(x)
except Exception as e:
bad[str(k) + str(store)] = e
#bad.append(store)
#bad.append(t)
print(e)
else:
for i in x:
#print('%s: %s' % (i, x[i]))
pass
store = ''
The text was updated successfully, but these errors were encountered:
I found two file on the internet.
nmea_data_sample.txt
nmea_sample.txt
it wound up with about a lot of errors.
The out up dict is large.
This is a link for the dict that i got changed to a file.
https://github.com/klint-k/pynmea2_errors/blob/master/bad_vdm.txt
The script that i wrote:
The text was updated successfully, but these errors were encountered: