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* JSON file based on Orange operator typical input Signed-off-by: Jean-Luc Auge <jeanluc.auge@orange.com> * update of the standalone edfa model creation of a new amlifier2.py = v2 creation of a json parser build_oa_json.py the parser takes OA.json as input and newOA.json as output creation of a pytest verification module amplifier_pytest.py Signed-off-by: Jean-Luc Auge <jeanluc.auge@orange.com> * put the code together and transmission example script -basic dijkstra propagation -ase noise propagation based on amplifier model -fake nli noise propagation -integration of the amplifier model -interpolation function in the edfa class -code cleaning and units harmonization Signed-off-by: Jean-Luc Auge <jeanluc.auge@orange.com> * mv transmission_main_example and rm _main__ Signed-off-by: Jean-Luc Auge <jeanluc.auge@orange.com> * 2nd edfa model and build_oa_json file add a dual coil stages edfa model in case the nf polynomial fit is not known add a build_oa_json file that convert the input files in edfa_config.json file and pre-calculate the nf_model nf1, nf2 and delta_p parameters adding power violation check and input padding (below minimum gain) in the edfa model class Signed-off-by: Jean-Luc Auge <jeanluc.auge@orange.com>
107 lines
3.7 KiB
Python
107 lines
3.7 KiB
Python
#!/usr/bin/env
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"""
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@author: briantaylor
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@author: giladgoldfarb
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@author: jeanluc-auge
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Transmission setup example:
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reads from network json (default = examples/edfa/edfa_example_network.json)
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propagates a 96 channels comb
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"""
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from argparse import ArgumentParser
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from json import load
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from sys import exit
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from pathlib import Path
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from logging import getLogger, basicConfig, INFO, ERROR, DEBUG
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from matplotlib.pyplot import show, axis
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from networkx import (draw_networkx_nodes, draw_networkx_edges,
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draw_networkx_labels, dijkstra_path)
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from gnpy.core import network_from_json
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from gnpy.core.elements import Transceiver, Fiber, Edfa
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from gnpy.core.info import SpectralInformation, Channel, Power
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#from gnpy.core.algorithms import closed_paths
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logger = getLogger(__package__ or __file__)
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def format_si(spectral_infos):
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return '\n'.join([
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f'#{idx} Carrier(frequency={c.frequency},\n power=Power(signal={c.power.signal}, nli={c.power.nli}, ase={c.power.ase}))'
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for idx, si in sorted(set(spectral_infos))
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for c in set(si.carriers)
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])
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logger = getLogger('gnpy.core')
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def main(args):
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with open(args.filename) as f:
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json_data = load(f)
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network = network_from_json(json_data)
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"""jla put in comment
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pos = {n: (n.lng, n.lat) for n in network.nodes()}
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labels_pos = {n: (long-.5, lat-.5) for n, (long, lat) in pos.items()}
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size = [20 if isinstance(n, Fiber) else 80 for n in network.nodes()]
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color = ['green' if isinstance(n, Transceiver) else 'red'
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for n in network.nodes()]
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labels = {n: n.location.city if isinstance(n, Transceiver) else ''
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for n in network.nodes()}
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"""
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spacing = 0.05 #THz
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si = SpectralInformation() # !! SI units W, Hz
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si = si.update(carriers=tuple(Channel(f+1, (191.3+spacing*(f+1))*1e12,
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32e9, 0.15, Power(1e-3, 0, 0)) for f in range(96)))
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nodes = [n for n in network.nodes() if isinstance(n, Transceiver)]
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source, sink = nodes[0], nodes[1]
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results = dijkstra_path(network, source, sink)
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print('dijkstra path:', results)
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for ne in results:
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si = ne(si)
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print('total SNR comb in signal bandwidth', sink.snr(si))
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#print(Rx_signal_power[0])
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#p.array([c.power.signal+c.power.nli+c.power.ase for c in carriers])
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"""jla put in comment
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results = list(islice(closed_paths(network, source, sink, si), 3))
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paths = [[n for _, n, _ in r] for r in results]
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infos = {}
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for idx, r in enumerate(results):
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for in_si, node, out_si in r:
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infos.setdefault(node, []).append((idx, out_si))
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node_color = ['#ff0000' if n is source or n is sink else
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'#900000' if any(n in p for p in paths) else
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'#ffdede' if isinstance(n, Transceiver) else '#dedeff'
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for n in network.nodes()]
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edge_color = ['#ff9090' if any(u in p for p in paths) and
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any(v in p for p in paths) else '#dedede'
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for u, v in network.edges()]
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fig = figure()
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plot = draw_networkx_nodes(network, pos=pos, node_size=size, node_color=node_color, figure=fig)
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draw_networkx_edges(network, pos=pos, figure=fig, edge_color=edge_color)
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draw_networkx_labels(network, pos=labels_pos, labels=labels, font_size=14, figure=fig)
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title(f'Propagating from {source.loc.city} to {sink.loc.city}')
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axis('off')
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show()
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"""
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parser = ArgumentParser()
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parser.add_argument('filename', nargs='?', type=Path,
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default= Path(__file__).parent / 'edfa/edfa_example_network.json')
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parser.add_argument('-v', '--verbose', action='count')
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if __name__ == '__main__':
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args = parser.parse_args()
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level = {1: INFO, 2: DEBUG}.get(args.verbose, ERROR)
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logger.setLevel(level)
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basicConfig()
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exit(main(args))
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