Files
meshing-around/etc/eas_alert_parser.py
2024-12-05 17:18:48 -08:00

49 lines
1.6 KiB
Python

# Super sloppy multimon-ng output cleaner for processing by EAS2Text
# I maed dis, sorta, mostly just mashed code I found or that chatGPT hallucinated
# by Mike O'Connell/skrrt, no licence or whatever just be chill yo
# enhanced by sheer.cold
import re
from EAS2Text import EAS2Text
buff=[] # store messages for writing
seen=set()
pattern = re.compile(r'ZCZC.*?NWS-')
# alternate regex for parsing multimon-ng output
# provided by https://github.com/A-c0rN
#reg = r"^.*?(NNNN|ZCZC)(?:-([A-Za-z0-9]{3})-([A-Za-z0-9]{3})-((?:-?[0-9]{6})+)\+([0-9]{4})-([0-9]{7})-(.{8})-)?.*?$"
#prog = re.compile(reg, re.MULTILINE)
#groups = prog.match(sameData).groups()
while True:
try:
# Handle piped input
inp=input().strip()
except EOFError:
break
# potentially take multiple lines in one buffered input
for line in inp.splitlines():
# only want EAS lines
if line.startswith("EAS:") or line.startswith("EAS (part):"):
content=line.split(":", maxsplit=1)[1].strip()
if content=="NNNN": # end of EAS message
# write if we have something
if buff:
print("writing")
with open("alert.txt","w") as fh:
fh.write('\n'.join(buff))
# prepare for new data
buff.clear()
seen.clear()
elif content in seen:
# don't need repeats
continue
else:
# check for national weather service
match=pattern.search(content)
if match:
seen.add(content)
msg=EAS2Text(content).EASText
print("got message", msg)
buff.append(msg)