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#!/usr/bin/env python
# -*- coding: utf-8 -*-
#
# Copyright 2021 Sara Cinzia Halter.
#
# This is free software; you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation; either version 3, or (at your option)
# any later version.
#
# This software is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this software; see the file COPYING. If not, write to
# the Free Software Foundation, Inc., 51 Franklin Street,
# Boston, MA 02110-1301, USA.
#
import socket
from urllib.parse import urlparse
import numpy as np
from numpy_ringbuffer import RingBuffer
from gnuradio import gr
from fadingui.logger import get_logger
log = get_logger("ber")
np.set_printoptions(formatter={'int': hex})
class ber(gr.sync_block):
"""
docstring for block ber
"""
def __init__(self, vgl, vlen, address):
gr.sync_block.__init__(self,
name="ber",
in_sig=[np.dtype(str(vlen) + "b")],
out_sig=None)
self.vgl=vgl
self.vlen=vlen
self.ber_samples = RingBuffer(capacity=100, dtype=int)
self.ber_samples.extend(np.zeros(self.ber_samples.maxlen))
# Create a socket and parse remote machine url
self.socket = socket.socket(socket.AF_INET, socket.SOCK_DGRAM)
self.url = urlparse(address)
self.srv = (self.url.hostname, self.url.port)
def send(self, data):
"""
Send the data to self.srv
@param data Data as python bytes
@return Number of bytes that were actually sent
"""
assert type(data) == bytes
return self.socket.sendto(data, self.srv)
def encode(self, data):
"""
Encode the data into a dead simple format
"""
# FIXME: this could be (very) slow, is there a faster way with numpy?
# Maybe numpy.array2string
return bytes(str(data) + "\n", "ascii")
def ber_stats(self):
ber_max = np.max(self.ber_samples)
ber_min = np.min(self.ber_samples)
ber_avg = np.sum(self.ber_samples) / self.ber_samples.maxlen
return ber_max, ber_min, ber_avg
def work(self, input_items, output_items):
inp = input_items[0]
log.debug(f"Length: {len(inp)}")
# log.debug(f"Inp_vector:{inp}")
for i in inp:
i = np.array(i, dtype=np.uint8)
v = np.array(self.vgl, dtype=np.uint8) ^ i
ber = sum(np.unpackbits(v))
trueber = ber - 32
if trueber < 0:
trueber = 0
# log.debug(f"BER {trueber} in Paket {i}")
self.ber_samples.appendleft(trueber)
ber_max, ber_min, ber_avg = self.ber_stats()
log.debug(f"Statistics: {ber_max}, {ber_min}, {ber_avg}")
self.send(self.encode([trueber, ber_max, ber_avg]))
return len(inp)
#return len(input_items[0])
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