#!/usr/bin/env python3
# -*- coding:utf-8 -*-
# Copyright (c) 2014,
# Karlsruhe Institute of Technology, Institute of Telematics
#
# This code is provided under the BSD 2-Clause License.
# Please refer to the LICENSE.txt file for further information.
#
# Author: Mario Hock
import os
import netifaces
import operator
import psutil
def get_nics():
return netifaces.interfaces()
def get_nic_speeds():
ret = dict()
for nic in get_nics():
try:
with open("/sys/class/net/" + nic + "/speed", "r") as f:
speed = int( f.read().strip() ) * 1000 * 1000
ret[nic] = speed
except OSError:
speed = 0
return ret
def split_proprtionally(text, weights, size=0, fill=" "):
"""
Split a string proportional to a given weight-distribution.
If a |size| is specified, that string is filled with |fill| at the end to match that length.
(NOTE: len(fill) must be 1)
"""
if ( size > 0 ):
## Fill text with spaces.
if ( len(text) < size ):
text += fill * (size-len(text))
## Truncate text if it's too long.
elif ( len(text) > size ):
text = text[size]
else:
size = len(text)
# sum of all weights
total_weights = float( sum(weights) )
## Calculate an int for each weight so that they sum appropriately to |size|.
float_lengths = [ (w / total_weights)*size for w in weights ]
weighted_lengths = [ int(round( f )) for f in float_lengths ]
## Compensate rounding-related inconsistencies.
# XXX I hope this actually does what's supposed to do...
# (Increase/decrease the fields with the biggest rounding differences in order to fit the size)
diff = size - sum(weighted_lengths)
while( diff != 0 ):
sign = -1 if diff < 0 else 1
## Calculate index where the rounding produced the biggest difference.
# (On equality, the latter one wins.)
max_diff = 0
index_of_max_diff = None
for i in range( len(weighted_lengths) ):
cur_diff = ( float_lengths[i] - weighted_lengths[i] ) * sign
if ( cur_diff >= max_diff ):
max_diff = cur_diff
index_of_max_diff = i
## Increase the just found index by 1.
weighted_lengths[i] += sign
diff -= sign
assert( sum(weighted_lengths) == size )
## * split *
ret = list()
last_pos = 0
for pos in weighted_lengths:
ret.append( text[last_pos:last_pos + pos] )
last_pos += pos
return ret
def get_sysinfo():
#uname = os.uname()
#input_fields = ("sysname", "nodename", "release", "version", "machine")
output_fields = ("sysname", "hostname", "kernel", "version", "machine", "memory")
ret = dict()
for out_field, value in zip(output_fields, os.uname()):
ret[out_field] = value
ret["memory"] = psutil.virtual_memory().total
return ret
def sort_named_tuple(data, skip=None):
"""
Sort a named tuple by its values.
With |skip| a value can be specified that is excluded from the result.
"""
d = data._asdict()
# NOTE: Possible improvement: Accept a list in skip?
if ( skip ):
del d[skip]
return sorted( d.items() , key=operator.itemgetter(1), reverse=True)