#!/usr/bin/env python3 # -*- coding: utf-8 -*- # @Author: Jean-Luc Auge # @Date: 2018-02-02 14:06:55 from gnpy.core.elements import Edfa from numpy import zeros, array from json import load from gnpy.core.elements import Transceiver, Fiber, Edfa from gnpy.core.utils import lin2db, db2lin from gnpy.core.info import create_input_spectral_information, SpectralInformation, Channel, Power, Pref from gnpy.core.equipment import load_equipment, automatic_fmax, automatic_nch from gnpy.core.network import build_network, load_network from pathlib import Path import pytest TEST_DIR = Path(__file__).parent DATA_DIR = TEST_DIR / 'data' test_network = DATA_DIR / 'test_network.json' eqpt_library = DATA_DIR / 'eqpt_config.json' # TODO in elements.py code: pytests doesn't pass with 1 channel: interpolate fail @pytest.fixture( params=[(96, 0.05e12), (60, 0.075e12), (45, 0.1e12), (2, 0.1e12)], ids=['50GHz spacing', '75GHz spacing', '100GHz spacing', '2 channels']) def nch_and_spacing(request): """parametrize channel count vs channel spacing (Hz)""" yield request.param @pytest.fixture() def bw(): """parametrize signal bandwidth (Hz)""" return 45e9 @pytest.fixture() def setup_edfa_variable_gain(): """init edfa class by reading test_network.json file remove all gain and nf ripple""" equipment = load_equipment(eqpt_library) network = load_network(test_network, equipment) build_network(network, equipment,0, 20) edfa = [n for n in network.nodes() if isinstance(n, Edfa)][0] edfa.gain_ripple = zeros(96) edfa.interpol_nf_ripple = zeros(96) yield edfa @pytest.fixture() def setup_edfa_fixed_gain(): """init edfa class by reading the 2nd edfa in test_network.json file""" equipment = load_equipment(eqpt_library) network = load_network(test_network, equipment) build_network(network, equipment, 0, 20) edfa = [n for n in network.nodes() if isinstance(n, Edfa)][1] yield edfa @pytest.fixture() def setup_trx(): """init transceiver class to access snr and osnr calculations""" equipment = load_equipment(eqpt_library) network = load_network(test_network, equipment) build_network(network, equipment, 0, 20) trx = [n for n in network.nodes() if isinstance(n, Transceiver)][0] return trx @pytest.fixture() def si(nch_and_spacing, bw): """parametrize a channel comb with nb_channel, spacing and signal bw""" nb_channel, spacing = nch_and_spacing f_min = 191.3e12 f_max = automatic_fmax(f_min, spacing, nb_channel) return create_input_spectral_information(f_min, f_max, 0.15, bw, 1e-3, spacing) @pytest.mark.parametrize("gain, nf_expected", [(10, 15), (15, 10), (25, 5.8)]) def test_variable_gain_nf(gain, nf_expected, setup_edfa_variable_gain, si): """=> unitary test for variable gain model Edfa._calc_nf() (and Edfa.interpol_params)""" edfa = setup_edfa_variable_gain frequencies = array([c.frequency for c in si.carriers]) pin = array([c.power.signal+c.power.nli+c.power.ase for c in si.carriers]) pin = pin/db2lin(gain) baud_rates = array([c.baud_rate for c in si.carriers]) edfa.operational.gain_target = gain pref = Pref(0, -gain, lin2db(len(frequencies))) edfa.interpol_params(frequencies, pin, baud_rates, pref) result = edfa.nf assert pytest.approx(nf_expected, abs=0.01) == result[0] @pytest.mark.parametrize("gain, nf_expected", [(15, 10), (20, 5), (25, 5)]) def test_fixed_gain_nf(gain, nf_expected, setup_edfa_fixed_gain, si): """=> unitary test for fixed gain model Edfa._calc_nf() (and Edfa.interpol_params)""" edfa = setup_edfa_fixed_gain frequencies = array([c.frequency for c in si.carriers]) pin = array([c.power.signal+c.power.nli+c.power.ase for c in si.carriers]) pin = pin/db2lin(gain) baud_rates = array([c.baud_rate for c in si.carriers]) edfa.operational.gain_target = gain pref = Pref(0, -gain, lin2db(len(frequencies))) edfa.interpol_params(frequencies, pin, baud_rates, pref) assert pytest.approx(nf_expected, abs=0.01) == edfa.nf[0] def test_si(si, nch_and_spacing): """basic total power check of the channel comb generation""" nb_channel = nch_and_spacing[0] pin = array([c.power.signal+c.power.nli+c.power.ase for c in si.carriers]) p_tot = pin.sum() expected_p_tot = si.carriers[0].power.signal * nb_channel assert pytest.approx(expected_p_tot, abs=0.01) == p_tot @pytest.mark.parametrize("gain", [17, 19, 21, 23]) def test_compare_nf_models(gain, setup_edfa_variable_gain, si): """ compare the 2 amplifier models (polynomial and estimated from nf_min and max) => nf_model vs nf_poly_fit for intermediate gain values: between gain_min and gain_flatmax some discrepancy is expected but target < 0.5dB => unitary test for Edfa._calc_nf (and Edfa.interpol_params)""" edfa = setup_edfa_variable_gain frequencies = array([c.frequency for c in si.carriers]) pin = array([c.power.signal+c.power.nli+c.power.ase for c in si.carriers]) pin = pin/db2lin(gain) baud_rates = array([c.baud_rate for c in si.carriers]) edfa.operational.gain_target = gain pref = Pref(0, -gain, lin2db(len(frequencies))) edfa.interpol_params(frequencies, pin, baud_rates, pref) nf_model = edfa.nf[0] edfa.interpol_params(frequencies, pin, baud_rates, pref) nf_poly = edfa.nf[0] assert pytest.approx(nf_model, abs=0.5) == nf_poly @pytest.mark.parametrize("gain", [13, 15, 17, 19, 21, 23, 25, 27]) def test_ase_noise(gain, si, setup_edfa_variable_gain, setup_trx, bw): """testing 3 different ways of calculating osnr: 1-pin-edfa.nf+58 vs 2-pout/pase afet propagate 3-Transceiver osnr_ase_01nm => unitary test for Edfa.noise_profile (Edfa.interpol_params, Edfa.propagate)""" edfa = setup_edfa_variable_gain frequencies = array([c.frequency for c in si.carriers]) pin = array([c.power.signal+c.power.nli+c.power.ase for c in si.carriers]) baud_rates = array([c.baud_rate for c in si.carriers]) edfa.operational.gain_target = gain pref = Pref(0, 0, lin2db(len(frequencies))) edfa.interpol_params(frequencies, pin, baud_rates, pref) nf = edfa.nf pin = lin2db(pin[0]*1e3) osnr_expected = pin - nf[0] + 58 si = edfa(si) pout = array([c.power.signal for c in si.carriers]) pase = array([c.power.ase for c in si.carriers]) osnr = lin2db(pout[0] / pase[0]) - lin2db(12.5e9/bw) assert pytest.approx(osnr_expected, abs=0.01) == osnr trx = setup_trx si = trx(si) osnr = trx.osnr_ase_01nm[0] assert pytest.approx(osnr_expected, abs=0.01) == osnr