eas_alert_parser.py

# 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)