Files
oopt-gnpy/examples/transmission_main_example.py
Jean-Luc Auge 1b808afd5d Advanced xls input support: Nodes & Links reading
Parse advanced fiber parameters from xls into json format:
accept a .xls or a .json input parameter
creates the corresponding .json file
read east/west directions for fiber parameters (fber type, distance...)
read node type (ILA or ROADM)
provide default values if fields are missing
    => full backward compatibility to read the original CORONET xls

Signed-off-by: Jean-Luc Auge <jeanluc.auge@orange.com>
2018-04-22 19:06:35 -04:00

128 lines
4.6 KiB
Python

#!/usr/bin/env
"""
@author: briantaylor
@author: giladgoldfarb
@author: jeanluc-auge
Transmission setup example:
reads from network json (default = examples/edfa/edfa_example_network.json)
propagates a 96 channels comb
"""
from gnpy.core.utils import load_json
from convert import convert_file
from gnpy.core.equipment import *
from argparse import ArgumentParser
from sys import exit
from pathlib import Path
from logging import getLogger, basicConfig, INFO, ERROR, DEBUG
from matplotlib.pyplot import show, axis, figure, title
from networkx import (draw_networkx_nodes, draw_networkx_edges,
draw_networkx_labels, dijkstra_path)
from gnpy.core import network_from_json, build_network
from gnpy.core.elements import Transceiver, Fiber, Edfa
from gnpy.core.info import SpectralInformation, Channel, Power
#from gnpy.core.algorithms import closed_paths
logger = getLogger(__package__ or __file__)
eqpt_library = {}
EQPT_LIBRARY_FILENAME = 'eqpt_config.json'
def format_si(spectral_infos):
return '\n'.join([
f'#{idx} Carrier(frequency={c.frequency},\n power=Power(signal={c.power.signal}, nli={c.power.nli}, ase={c.power.ase}))'
for idx, si in sorted(set(spectral_infos))
for c in set(si.carriers)
])
logger = getLogger('gnpy.core')
def plot_network_graph(network, path, source, sink):
nodelist = [n for n in network.nodes() if isinstance(n, (Transceiver, Fiber))]
pathnodes = [n for n in path if isinstance(n, (Transceiver, Fiber))]
edgelist = [(u, v) for u, v in zip(pathnodes, pathnodes[1:])]
node_color = ['#ff0000' if n is source or n is sink else
'#900000' if n in path else '#ffdfdf'
for n in nodelist]
edge_color = ['#ff9090' if u in path and v in path else '#ababab'
for u, v in edgelist]
labels = {n: n.location.city if isinstance(n, Transceiver) else ''
for n in pathnodes}
fig = figure()
pos = {n: (n.lng, n.lat) for n in nodelist}
kwargs = {'figure': fig, 'pos': pos}
plot = draw_networkx_nodes(network, nodelist=nodelist, node_color=node_color, **kwargs)
draw_networkx_edges(network, edgelist=edgelist, edge_color=edge_color, **kwargs)
draw_networkx_labels(network, labels=labels, font_size=14, **kwargs)
title(f'Propagating from {source.loc.city} to {sink.loc.city}')
axis('off')
show()
def main(args):
input_filename = str(args.filename)
split_filename = input_filename.split(".")
json_filename = split_filename[0]+'.json'
try:
assert split_filename[1] in ('json','xls','csv','xlsm')
except AssertionError as e:
print(f'invalid file extension .{split_filename[1]}')
raise e
if split_filename[1] != 'json':
print(f'parse excel input to {json_filename}')
convert_file(input_filename)
json_data = load_json(json_filename)
read_eqpt_library(EQPT_LIBRARY_FILENAME)
network = network_from_json(json_data)
build_network(network)
spacing = 0.05 #THz
si = SpectralInformation() # !! SI units W, Hz
si = si.update(carriers=tuple(Channel(f, (191.3+spacing*f)*1e12,
32e9, 0.15, Power(1e-3, 0, 0)) for f in range(1,97)))
trx = [n for n in network.nodes() if isinstance(n, Transceiver)]
if args.list>=1:
print(*[el.uid for el in trx], sep='\n')
else:
try:
source = next(el for el in trx if el.uid == args.source)
except StopIteration as e:
source = trx[0]
print(f'invalid souce node specified: {args.source!r}, replaced with {source}')
try:
sink = next(el for el in trx if el.uid == args.sink)
except StopIteration as e:
sink = trx[1]
print(f'invalid destination node specified: {args.sink!r}, replaced with {sink}')
path = dijkstra_path(network, source, sink)
print(f'There are {len(path)} network elements between {source} and {sink}')
for el in path:
si = el(si)
print(el)
#plot_network_graph(network, path, source, sink)
parser = ArgumentParser()
parser.add_argument('filename', nargs='?', type=Path,
default= Path(__file__).parent / 'edfa_example_network.json')
parser.add_argument('source', type=str, nargs='?', default="", help='source node')
parser.add_argument('sink', type=str, nargs='?', default="", help='sink node')
parser.add_argument('-v', '--verbose', action='count')
parser.add_argument('-l', '--list', action='count', default=0, help='list all network nodes')
if __name__ == '__main__':
args = parser.parse_args()
level = {1: INFO, 2: DEBUG}.get(args.verbose, ERROR)
logger.setLevel(level)
basicConfig()
exit(main(args))