Hi,
I believe that the easiest way is using the json output over a linux pipe, or
if you prefer over stdin/stdout, which eventually behave like a pipe.
Here an example with pipe:
Python script:
if __name__ == '__main__':
os.mkfifo(path_to_fifo, mode=0o666)
while True:
# One loop == one *acct flush
with open(path_to_fifo) as fifo:
timestamp = time.time_ns()
# Read *acct records from fifo line by line
for line in fifo:
buffer = process_json_record(line, timestamp)
# Process *acct flush
process_buffer(buffer)
Nfacct config (only relevant parts):
print_output: json
print_output_file_append: true
print_write_empty_file: false
plugins: print[json]
print_output_file[json]: path_to_fifo
Cheers,
luca
> Il giorno 3 mag 2022, alle ore 20:19, Compton, Rich A
> <rich.comp...@charter.com> ha scritto:
>
> Hi, I’m trying to take the netflow records from nfacctd and process them with
> a python script. Can someone suggest how I can do this with python without
> having nfacctd put them into a database and then have my python script read
> it? Is using kafka the best way? The netflow collection and python script
> will be on the same instance. Any example code would be very helpful!
> Thanks!
>
> <image001.png>
>
> Rich Compton | Principal Eng | 314.596.2828
> 8560 Upland Drive, Suite B | Englewood, CO 80112
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