Merge pull request #480 from jktjkt/python-3.12

CI: Python 3.12 and extended platform coverage

.github/workflows/main.yml

@@ -29,7 +29,8 @@ jobs:
           - py38
           - py39
           - py310
-          - py311-cover
+          - py311
+          - py312-cover
         include:
           - tox_env: docs
             dnf_install: graphviz
@@ -46,7 +47,7 @@ jobs:
       - uses: actions/setup-python@v4
         name: Install Python
         with:
-          python-version: '3.11'
+          python-version: '3.12'
       - uses: casperdcl/deploy-pypi@bb869aafd89f657ceaafe9561d3b5584766c0f95
         with:
           password: ${{ secrets.PYPI_API_TOKEN }}
@@ -116,5 +117,31 @@ jobs:
             python_version: "3.10"
           - os: windows-2022
             python_version: "3.11"
+          - os: windows-2022
+            python_version: "3.12"
           - os: macos-12
             python_version: "3.11"
+          - os: macos-13
+            python_version: "3.12"
+
+  paywalled-platforms:
+    name: Tests on paywalled platforms
+    if: github.repository_owner == 'Telecominfraproject'
+    runs-on: ${{ matrix.os }}
+    steps:
+      - uses: actions/checkout@v3
+        with:
+          fetch-depth: 0
+      - uses: actions/setup-python@v4
+        with:
+          python-version: ${{ matrix.python_version }}
+      - run: |
+          pip install -r tests/requirements.txt
+          pip install --editable .
+          pytest -vv
+    strategy:
+      fail-fast: false
+      matrix:
+        include:
+          - os: macos-13-xlarge # Apple M1 CPU
+            python_version: "3.12"

README.md

@@ -8,7 +8,7 @@
 [![Contributors](https://img.shields.io/github/contributors-anon/Telecominfraproject/oopt-gnpy)](https://github.com/Telecominfraproject/oopt-gnpy/graphs/contributors)
 [![Code Coverage via codecov](https://img.shields.io/codecov/c/github/Telecominfraproject/oopt-gnpy)](https://codecov.io/gh/Telecominfraproject/oopt-gnpy)
 [![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.3458319.svg)](https://doi.org/10.5281/zenodo.3458319)
-[![Matrix chat](https://img.shields.io/matrix/oopt-gnpy:matrix.org)](https://matrix.to/#/%23oopt-gnpy%3Afoss.wtf?via=matrix.org&via=foss.wtf)
+[![Matrix chat](https://img.shields.io/matrix/oopt-gnpy:matrix.org)](https://matrix.to/#/%23oopt-gnpy%3Amatrix.org?via=matrix.org)
 
 GNPy is an open-source, community-developed library for building route planning and optimization tools in real-world mesh optical networks.
 We are a consortium of operators, vendors, and academic researchers sponsored via the [Telecom Infra Project](http://telecominfraproject.com)'s [OOPT/PSE](https://telecominfraproject.com/open-optical-packet-transport) working group.

docs/biblio.bib

@@ -1848,3 +1848,15 @@ month={Sept},}
   title = {Telecom Infra Project},
   url = {https://www.telecominfraproject.com},
 }
+
+@ARTICLE{DAmicoJLT2022,
+  author={D’Amico, Andrea and Correia, Bruno and London, Elliot and Virgillito,
+  Emanuele and Borraccini, Giacomo and Napoli, Antonio and Curri, Vittorio},
+  journal={Journal of Lightwave Technology},
+  title={Scalable and Disaggregated GGN Approximation Applied to a C+L+S Optical Network},
+  year={2022},
+  volume={40},
+  number={11},
+  pages={3499-3511},
+  doi={10.1109/JLT.2022.3162134}
+}

docs/json.rst

@@ -61,40 +61,69 @@ Fiber
 
 The fiber library currently describes SSMF and NZDF but additional fiber types can be entered by the user following the same model:
 
-+----------------------+-----------+------------------------------------------+
++------------------------------+-----------------+------------------------------------------------+
 | field                        | type            | description                                    |
-+======================+===========+==========================================+
++==============================+=================+================================================+
 | ``type_variety``             | (string)        | a unique name to ID the fiber in the           |
 |                              |                 | JSON or Excel template topology input          |
 |                              |                 | file                                           |
-+----------------------+-----------+------------------------------------------+
++------------------------------+-----------------+------------------------------------------------+
 | ``dispersion``               | (number)        | In :math:`s \times m^{-1} \times m^{-1}`.      |
-+----------------------+-----------+------------------------------------------+
++------------------------------+-----------------+------------------------------------------------+
 | ``dispersion_slope``         | (number)        | In :math:`s \times m^{-1} \times m^{-1}        |
 |                              |                 | \times m^{-1}`                                 |
-+----------------------+-----------+------------------------------------------+
++------------------------------+-----------------+------------------------------------------------+
+| ``dispersion_per_frequency`` | (dict)          | Dictionary of dispersion values evaluated at   |
+|                              |                 | various frequencies, as follows:               |
+|                              |                 | ``{"value": [], "frequency": []}``.            |
+|                              |                 | ``value`` in                                   |
+|                              |                 | :math:`s \times m^{-1} \times m^{-1}` and      |
+|                              |                 | ``frequency`` in Hz.                           |
++------------------------------+-----------------+------------------------------------------------+
 | ``effective_area``           | (number)        | Effective area of the fiber (not just          |
 |                              |                 | the MFD circle). This is the                   |
 |                              |                 | :math:`A_{eff}`, see e.g., the                 |
 |                              |                 | `Corning whitepaper on MFD/EA`_.               |
 |                              |                 | Specified in :math:`m^{2}`.                    |
-+----------------------+-----------+------------------------------------------+
++------------------------------+-----------------+------------------------------------------------+
 | ``gamma``                    | (number)        | Coefficient :math:`\gamma = 2\pi\times         |
 |                              |                 | n^2/(\lambda*A_{eff})`.                        |
 |                              |                 | If not provided, this will be derived          |
 |                              |                 | from the ``effective_area``                    |
 |                              |                 | :math:`A_{eff}`.                               |
 |                              |                 | In :math:`w^{-1} \times m^{-1}`.               |
-+----------------------+-----------+------------------------------------------+
+|                              |                 | This quantity is evaluated at the              |
+|                              |                 | reference frequency and it is scaled           |
+|                              |                 | along frequency accordingly to the             |
+|                              |                 | effective area scaling.                        |
++------------------------------+-----------------+------------------------------------------------+
 | ``pmd_coef``                 | (number)        | Polarization mode dispersion (PMD)             |
 |                              |                 | coefficient. In                                |
 |                              |                 | :math:`s\times\sqrt{m}^{-1}`.                  |
-+----------------------+-----------+------------------------------------------+
++------------------------------+-----------------+------------------------------------------------+
 | ``lumped_losses``            | (array)         | Places along the fiber length with extra       |
 |                              |                 | losses. Specified as a loss in dB at           |
 |                              |                 | each relevant position (in km):                |
 |                              |                 | ``{"position": 10, "loss": 1.5}``)             |
-+----------------------+-----------+------------------------------------------+
++------------------------------+-----------------+------------------------------------------------+
+| ``raman_coefficient``        | (dict)          | The fundamental parameter that describes       |
+|                              |                 | the regulation of the power transfer           |
+|                              |                 | between channels during fiber propagation      |
+|                              |                 | is the Raman gain coefficient (see             |
+|                              |                 | :cite:`DAmicoJLT2022` for further              |
+|                              |                 | details); :math:`f_{ref}` represents the       |
+|                              |                 | pump reference frequency used for the          |
+|                              |                 | Raman gain coefficient profile                 |
+|                              |                 | measurement ("reference_frequency"),           |
+|                              |                 | :math:`\Delta f` is the frequency shift        |
+|                              |                 | between the pump and the specific Stokes       |
+|                              |                 | wave, the Raman gain coefficient               |
+|                              |                 | in terms of optical power                      |
+|                              |                 | :math:`g_0`, expressed in                      |
+|                              |                 | :math:`1/(m\;W)`.                              |
+|                              |                 | Default values measured for a SSMF are         |
+|                              |                 | considered when not specified.                 |
++------------------------------+-----------------+------------------------------------------------+
 
 .. _Corning whitepaper on MFD/EA: https://www.corning.com/microsites/coc/oem/documents/specialty-fiber/WP7071-Mode-Field-Diam-and-Eff-Area.pdf
 

docs/model.rst

@@ -126,9 +126,9 @@ that can be easily evaluated extending the FWM theory from a set of discrete
 tones - the standard FWM theory introduced back in the 90s by Inoue
 :cite:`Innoue-FWM`- to a continuity of tones, possibly spectrally shaped.
 Signals propagating in the fiber are not equivalent to Gaussian noise, but
-thanks to the absence of in-line compensation for choromatic dispersion, the
+thanks to the absence of in-line compensation for chromatic dispersion, the
 become so, over short distances.  So, the Gaussian noise model with incoherent
-accumulation of NLI has estensively proved to be a quick yet accurate and
+accumulation of NLI has extensively proved to be a quick yet accurate and
 conservative tool to estimate propagation impairments of fiber propagation.
 Note that the GN-model has not been derived with the aim of an *exact*
 performance estimation, but to pursue a conservative performance prediction.

gnpy/__init__.py

@@ -1,8 +1,8 @@
-'''
+"""
 GNPy is an open-source, community-developed library for building route planning and optimization tools in real-world mesh optical networks. It is based on the Gaussian Noise Model.
 
 Signal propagation is implemented in :py:mod:`.core`.
 Path finding and spectrum assignment is in :py:mod:`.topology`.
 Various tools and auxiliary code, including the JSON I/O handling, is in
 :py:mod:`.tools`.
-'''
+"""

gnpy/core/__init__.py

@@ -1,4 +1,4 @@
-'''
+"""
 Simulation of signal propagation in the DWDM network
 
 Optical signals, as defined via :class:`.info.SpectralInformation`, enter
@@ -6,4 +6,4 @@ Optical signals, as defined via :class:`.info.SpectralInformation`, enter
 through the :py:mod:`.network`.
 The simulation is controlled via :py:mod:`.parameters` and implemented mainly
 via :py:mod:`.science_utils`.
-'''
+"""

gnpy/core/ansi_escapes.py

@@ -1,12 +1,12 @@
 #!/usr/bin/env python3
 # -*- coding: utf-8 -*-
 
-'''
+"""
 gnpy.core.ansi_escapes
 ======================
 
 A random subset of ANSI terminal escape codes for colored messages
-'''
+"""
 
 red = '\x1b[1;31;40m'
 blue = '\x1b[1;34;40m'

gnpy/core/elements.py

@@ -26,7 +26,7 @@ from scipy.constants import h, c
 from scipy.interpolate import interp1d
 from collections import namedtuple
 from typing import Union
-
+from logging import getLogger
 
 from gnpy.core.utils import lin2db, db2lin, arrange_frequencies, snr_sum, per_label_average, pretty_summary_print, \
     watt2dbm, psd2powerdbm
@@ -36,17 +36,20 @@ from gnpy.core.info import SpectralInformation, ReferenceCarrier
 from gnpy.core.exceptions import NetworkTopologyError, SpectrumError, ParametersError
 
 
+_logger = getLogger(__name__)
+
+
 class Location(namedtuple('Location', 'latitude longitude city region')):
     def __new__(cls, latitude=0, longitude=0, city=None, region=None):
         return super().__new__(cls, latitude, longitude, city, region)
 
 
 class _Node:
-    '''Convenience class for providing common functionality of all network elements
+    """Convenience class for providing common functionality of all network elements
 
     This class is just an internal implementation detail; do **not** assume that all network elements
     inherit from :class:`_Node`.
-    '''
+    """
     def __init__(self, uid, name=None, params=None, metadata=None, operational=None, type_variety=None):
         if name is None:
             name = uid
@@ -87,6 +90,7 @@ class Transceiver(_Node):
         self.chromatic_dispersion = None
         self.pmd = None
         self.pdl = None
+        self.latency = None
         self.penalties = {}
         self.total_penalty = 0
         self.propagated_labels = [""]
@@ -106,6 +110,11 @@ class Transceiver(_Node):
         """
         self.pdl = spectral_info.pdl
 
+    def _calc_latency(self, spectral_info):
+        """Updates the Transceiver property with the latency of the received channels. Latency in ms.
+        """
+        self.latency = spectral_info.latency * 1e3
+
     def _calc_penalty(self, impairment_value, boundary_list):
         return interp(impairment_value, boundary_list['up_to_boundary'], boundary_list['penalty_value'],
                       left=float('inf'), right=float('inf'))
@@ -172,6 +181,7 @@ class Transceiver(_Node):
                 f'chromatic_dispersion={self.chromatic_dispersion!r}, '
                 f'pmd={self.pmd!r}, '
                 f'pdl={self.pdl!r}, '
+                f'latency={self.latency!r}, '
                 f'penalties={self.penalties!r})')
 
     def __str__(self):
@@ -185,6 +195,7 @@ class Transceiver(_Node):
         cd = mean(self.chromatic_dispersion)
         pmd = mean(self.pmd)
         pdl = mean(self.pdl)
+        latency = mean(self.latency)
 
         result = '\n'.join([f'{type(self).__name__} {self.uid}',
                             f'  GSNR (0.1nm, dB):          {pretty_summary_print(snr_01nm)}',
@@ -193,7 +204,8 @@ class Transceiver(_Node):
                             f'  OSNR ASE (signal bw, dB):  {pretty_summary_print(osnr_ase)}',
                             f'  CD (ps/nm):                {cd:.2f}',
                             f'  PMD (ps):                  {pmd:.2f}',
-                            f'  PDL (dB):                  {pdl:.2f}'])
+                            f'  PDL (dB):                  {pdl:.2f}',
+                            f'  Latency (ms):              {latency:.2f}'])
 
         cd_penalty = self.penalties.get('chromatic_dispersion')
         if cd_penalty is not None:
@@ -212,6 +224,7 @@ class Transceiver(_Node):
         self._calc_cd(spectral_info)
         self._calc_pmd(spectral_info)
         self._calc_pdl(spectral_info)
+        self._calc_latency(spectral_info)
         return spectral_info
 
 
@@ -222,7 +235,8 @@ class Roadm(_Node):
         try:
             super().__init__(*args, params=RoadmParams(**params), **kwargs)
         except ParametersError as e:
-            raise ParametersError(f'Config error in {kwargs["uid"]}: {e}') from e
+            msg = f'Config error in {kwargs["uid"]}: {e}'
+            raise ParametersError(msg) from e
 
         # Target output power for the reference carrier, can only be computed on the fly, because it depends
         # on the path, since it depends on the equalization definition on the degree.
@@ -336,6 +350,8 @@ class Roadm(_Node):
             return self.per_degree_pch_out_dbm[degree]
         elif degree in self.per_degree_pch_psd:
             return psd2powerdbm(self.per_degree_pch_psd[degree], spectral_info.baud_rate)
+        elif degree in self.per_degree_pch_psw:
+            return psd2powerdbm(self.per_degree_pch_psw[degree], spectral_info.slot_width)
         return self.get_roadm_target_power(spectral_info=spectral_info)
 
     def propagate(self, spectral_info, degree):
@@ -449,21 +465,14 @@ class Fiber(_Node):
     def __init__(self, *args, params=None, **kwargs):
         if not params:
             params = {}
+        try:
             super().__init__(*args, params=FiberParams(**params), **kwargs)
+        except ParametersError as e:
+            msg = f'Config error in {kwargs["uid"]}: {e}'
+            raise ParametersError(msg) from e
         self.pch_out_db = None
         self.passive = True
         self.propagated_labels = [""]
-        # Raman efficiency matrix function of the delta frequency constructed such that each row is related to a
-        # fixed frequency: positive elements represent a gain (from higher frequency) and negative elements represent
-        # a loss (to lower frequency)
-        if self.params.raman_efficiency:
-            frequency_offset = self.params.raman_efficiency['frequency_offset']
-            frequency_offset = append(-flip(frequency_offset[1:]), frequency_offset)
-            cr = self.params.raman_efficiency['cr']
-            cr = append(- flip(cr[1:]), cr)
-            self._cr_function = lambda frequency: interp(frequency, frequency_offset, cr)
-        else:
-            self._cr_function = lambda frequency: zeros(squeeze(frequency).shape)
 
         # Lumped losses
         z_lumped_losses = array([lumped['position'] for lumped in self.params.lumped_losses])  # km
@@ -513,28 +522,32 @@ class Fiber(_Node):
                           f'  reference pch out (dBm):     {self.pch_out_db:.2f}',
                           f'  actual pch out (dBm):        {total_pch}'])
 
+    def interpolate_parameter_over_spectrum(self, parameter, ref_frequency, spectrum_frequency, name):
+        try:
+            interpolation = interp1d(ref_frequency, parameter)(spectrum_frequency)
+            return interpolation
+        except ValueError:
+            raise SpectrumError('The spectrum bandwidth exceeds the frequency interval used to define the fiber '
+                                f'{name} in "{type(self).__name__} {self.uid}".'
+                                f'\nSpectrum f_min-f_max: {round(spectrum_frequency[0] * 1e-12, 2)}-'
+                                f'{round(spectrum_frequency[-1] * 1e-12, 2)}'
+                                f'\n{name} f_min-f_max: {round(ref_frequency[0] * 1e-12, 2)}-'
+                                f'{round(ref_frequency[-1] * 1e-12, 2)}')
+
     def loss_coef_func(self, frequency):
         frequency = asarray(frequency)
         if self.params.loss_coef.size > 1:
-            try:
+            loss_coef = self.interpolate_parameter_over_spectrum(self.params.loss_coef, self.params.f_loss_ref,
-                loss_coef = interp1d(self.params.f_loss_ref, self.params.loss_coef)(frequency)
+                                                                 frequency, 'Loss Coefficient')
-            except ValueError:
-                raise SpectrumError('The spectrum bandwidth exceeds the frequency interval used to define the fiber '
-                                    f'loss coefficient in "{type(self).__name__} {self.uid}".'
-                                    f'\nSpectrum f_min-f_max: {round(frequency[0]*1e-12,2)}-'
-                                    f'{round(frequency[-1]*1e-12,2)}'
-                                    f'\nLoss coefficient f_min-f_max: {round(self.params.f_loss_ref[0]*1e-12,2)}-'
-                                    f'{round(self.params.f_loss_ref[-1]*1e-12,2)}')
         else:
             loss_coef = full(frequency.size, self.params.loss_coef)
         return squeeze(loss_coef)
 
-
     @property
     def loss(self):
         """total loss including padding att_in: useful for polymorphism with roadm loss"""
         return self.loss_coef_func(self.params.ref_frequency) * self.params.length + \
-            self.params.con_in + self.params.con_out + self.params.att_in
+            self.params.con_in + self.params.con_out + self.params.att_in + sum(lin2db(1 / self.lumped_losses))
 
     def alpha(self, frequency):
         """Returns the linear exponent attenuation coefficient such that
@@ -545,16 +558,71 @@ class Fiber(_Node):
         """
         return self.loss_coef_func(frequency) / (10 * log10(exp(1)))
 
+    def beta2(self, frequency=None):
+        """Returns the beta2 chromatic dispersion coefficient as the second order term of the beta function
+        expanded as a Taylor series evaluated at the given frequency
+
+        :param frequency: the frequency at which alpha is computed [Hz]
+        :return: beta2: beta2 chromatic dispersion coefficient for f in frequency # 1/(m * Hz^2)
+        """
+        frequency = asarray(self.params.ref_frequency if frequency is None else frequency)
+        if self.params.dispersion.size > 1:
+            dispersion = self.interpolate_parameter_over_spectrum(self.params.dispersion, self.params.f_dispersion_ref,
+                                                                  frequency, 'Chromatic Dispersion')
+        else:
+            if self.params.dispersion_slope is None:
+                dispersion = (frequency / self.params.f_dispersion_ref) ** 2 * self.params.dispersion
+            else:
+                wavelength = c / frequency
+                dispersion = self.params.dispersion + self.params.dispersion_slope * \
+                             (wavelength - c / self.params.f_dispersion_ref)
+        beta2 = -((c / frequency) ** 2 * dispersion) / (2 * pi * c)
+        return beta2
+
+    def beta3(self, frequency=None):
+        """Returns the beta3 chromatic dispersion coefficient as the third order term of the beta function
+        expanded as a Taylor series evaluated at the given frequency
+
+        :param frequency: the frequency at which alpha is computed [Hz]
+        :return: beta3: beta3 chromatic dispersion coefficient for f in frequency # 1/(m * Hz^3)
+        """
+        frequency = asarray(self.params.ref_frequency if frequency is None else frequency)
+        if self.params.dispersion.size > 1:
+            beta3 = polyfit(self.params.f_dispersion_ref - self.params.ref_frequency,
+                            self.beta2(self.params.f_dispersion_ref), 2)[1] / (2*pi)
+            beta3 = full(frequency.size, beta3)
+        else:
+            if self.params.dispersion_slope is None:
+                beta3 = zeros(frequency.size)
+            else:
+                dispersion_slope = self.params.dispersion_slope
+                beta2 = self.beta2(frequency)
+                beta3 = (dispersion_slope - (4 * pi * frequency ** 3 / c ** 2) * beta2) / (
+                            2 * pi * frequency ** 2 / c) ** 2
+        return beta3
+
+    def gamma(self, frequency=None):
+        """Returns the nonlinear interference coefficient such that
+        :math: `gamma(f) = 2 pi f n_2 c^{-1} A_{eff}^{-1}`
+
+        :param frequency: the frequency at which gamma is computed [Hz]
+        :return: gamma: nonlinear interference coefficient for f in frequency [1/(W m)]
+        """
+        frequency = self.params.ref_frequency if frequency is None else frequency
+        return self.params.gamma_scaling(frequency)
+
     def cr(self, frequency):
-        """Returns the raman efficiency matrix including the vibrational loss
+        """Returns the raman gain coefficient matrix including the vibrational loss
 
         :param frequency: the frequency at which cr is computed [Hz]
-        :return: cr: raman efficiency matrix [1 / (W m)]
+        :return: cr: raman gain coefficient matrix [1 / (W m)]
         """
         df = outer(ones(frequency.shape), frequency) - outer(frequency, ones(frequency.shape))
-        cr = self._cr_function(df)
+        effective_area_overlap = self.params.effective_area_overlap(frequency, frequency)
+        cr = interp(df, self.params.raman_coefficient.frequency_offset,
+                    self.params.raman_coefficient.normalized_gamma_raman) * frequency / effective_area_overlap
         vibrational_loss = outer(frequency, ones(frequency.shape)) / outer(ones(frequency.shape), frequency)
-        return cr * (cr >= 0) + cr * (cr < 0) * vibrational_loss  # Raman efficiency [1/(W m)]
+        return cr * (cr >= 0) + cr * (cr < 0) * vibrational_loss  # [1/(W m)]
 
     def chromatic_dispersion(self, freq=None):
         """Returns accumulated chromatic dispersion (CD).
@@ -563,8 +631,8 @@ class Fiber(_Node):
         :return: chromatic dispersion: the accumulated dispersion [s/m]
         """
         freq = self.params.ref_frequency if freq is None else freq
-        beta2 = self.params.beta2
+        beta2 = self.beta2(freq)
-        beta3 = self.params.beta3
+        beta3 = self.beta3(freq)
         ref_f = self.params.ref_frequency
         length = self.params.length
         beta = beta2 + 2 * pi * beta3 * (freq - ref_f)
@@ -594,6 +662,9 @@ class Fiber(_Node):
         spectral_info.chromatic_dispersion += self.chromatic_dispersion(spectral_info.frequency)
         spectral_info.pmd = sqrt(spectral_info.pmd ** 2 + self.pmd ** 2)
 
+        # latency
+        spectral_info.latency += self.params.latency
+
         # apply the attenuation due to the fiber losses
         attenuation_fiber = stimulated_raman_scattering.loss_profile[:, -1]
         spectral_info.apply_attenuation_lin(attenuation_fiber)
@@ -667,6 +738,9 @@ class RamanFiber(Fiber):
         spectral_info.chromatic_dispersion += self.chromatic_dispersion(spectral_info.frequency)
         spectral_info.pmd = sqrt(spectral_info.pmd ** 2 + self.pmd ** 2)
 
+        # latency
+        spectral_info.latency += self.params.latency
+
         # apply the attenuation due to the fiber losses
         attenuation_fiber = stimulated_raman_scattering.loss_profile[:spectral_info.number_of_channels, -1]
 

gnpy/core/equipment.py

@@ -1,12 +1,12 @@
 #!/usr/bin/env python3
 # -*- coding: utf-8 -*-
 
-'''
+"""
 gnpy.core.equipment
 ===================
 
 This module contains functionality for specifying equipment.
-'''
+"""
 
 from gnpy.core.utils import automatic_nch, db2lin
 from gnpy.core.exceptions import EquipmentConfigError
@@ -29,8 +29,11 @@ def trx_mode_params(equipment, trx_type_variety='', trx_mode='', error_message=F
             trx_params = {**mode_params}
             # sanity check: spacing baudrate must be smaller than min spacing
             if trx_params['baud_rate'] > trx_params['min_spacing']:
-                raise EquipmentConfigError(f'Inconsistency in equipment library:\n Transpoder "{trx_type_variety}" mode "{trx_params["format"]}" ' +
+                raise EquipmentConfigError(f'Inconsistency in equipment library:\n Transponder "{trx_type_variety}"'
-                                           f'has baud rate {trx_params["baud_rate"]*1e-9} GHz greater than min_spacing {trx_params["min_spacing"]*1e-9}.')
+                                           + f' mode "{trx_params["format"]}" has baud rate'
+                                           + f' {trx_params["baud_rate"] * 1e-9:.3f} GHz greater than min_spacing'
+                                           + f' {trx_params["min_spacing"] * 1e-9:.3f}.')
+            trx_params['equalization_offset_db'] = trx_params.get('equalization_offset_db', 0)
         else:
             mode_params = {"format": "undetermined",
                            "baud_rate": None,
@@ -40,7 +43,8 @@ def trx_mode_params(equipment, trx_type_variety='', trx_mode='', error_message=F
                            "roll_off": None,
                            "tx_osnr": None,
                            "min_spacing": None,
-                           "cost": None}
+                           "cost": None,
+                           "equalization_offset_db": 0}
             trx_params = {**mode_params}
         trx_params['f_min'] = equipment['Transceiver'][trx_type_variety].frequency['min']
         trx_params['f_max'] = equipment['Transceiver'][trx_type_variety].frequency['max']
@@ -66,6 +70,7 @@ def trx_mode_params(equipment, trx_type_variety='', trx_mode='', error_message=F
             trx_params['roll_off'] = default_si_data.roll_off
             trx_params['tx_osnr'] = default_si_data.tx_osnr
             trx_params['min_spacing'] = None
+            trx_params['equalization_offset_db'] = 0
 
     trx_params['power'] = db2lin(default_si_data.power_dbm) * 1e-3
 

gnpy/core/info.py

@@ -27,9 +27,11 @@ class Power(namedtuple('Power', 'signal nli ase')):
     """carriers power in W"""
 
 
-class Channel(namedtuple('Channel',
+class Channel(
-                         'channel_number frequency baud_rate slot_width roll_off power chromatic_dispersion pmd pdl')):
+    namedtuple('Channel',
+               'channel_number frequency baud_rate slot_width roll_off power chromatic_dispersion pmd pdl latency')):
     """Class containing the parameters of a WDM signal.
+
     :param channel_number: channel number in the WDM grid
     :param frequency: central frequency of the signal (Hz)
     :param baud_rate: the symbol rate of the signal (Baud)
@@ -39,11 +41,13 @@ class Channel(namedtuple('Channel',
     :param chromatic_dispersion: chromatic dispersion (s/m)
     :param pmd: polarization mode dispersion (s)
     :param pdl: polarization dependent loss (dB)
+    :param latency: propagation latency (s)
     """
 
 
 class Pref(namedtuple('Pref', 'p_span0, p_spani, ref_carrier')):
     """noiseless reference power in dBm:
+
     p_span0: inital target carrier power for a reference channel defined by user
     p_spani: carrier power after element i for a reference channel defined by user
     ref_carrier records the baud rate of the reference channel
@@ -52,11 +56,12 @@ class Pref(namedtuple('Pref', 'p_span0, p_spani, ref_carrier')):
 
 class SpectralInformation(object):
     """Class containing the parameters of the entire WDM comb.
+
     delta_pdb_per_channel: (per frequency) per channel delta power in dbm for the actual mix of channels"""
 
     def __init__(self, frequency: array, baud_rate: array, slot_width: array, signal: array, nli: array, ase: array,
-                 roll_off: array, chromatic_dispersion: array, pmd: array, pdl: array, delta_pdb_per_channel: array,
+                 roll_off: array, chromatic_dispersion: array, pmd: array, pdl: array, latency: array,
-                 tx_osnr: array, ref_power: Pref, label: array):
+                 delta_pdb_per_channel: array, tx_osnr: array, ref_power: Pref, label: array):
         indices = argsort(frequency)
         self._frequency = frequency[indices]
         self._df = outer(ones(frequency.shape), frequency) - outer(frequency, ones(frequency.shape))
@@ -81,6 +86,7 @@ class SpectralInformation(object):
         self._chromatic_dispersion = chromatic_dispersion[indices]
         self._pmd = pmd[indices]
         self._pdl = pdl[indices]
+        self._latency = latency[indices]
         self._delta_pdb_per_channel = delta_pdb_per_channel[indices]
         self._tx_osnr = tx_osnr[indices]
         self._pref = ref_power
@@ -177,6 +183,14 @@ class SpectralInformation(object):
     def pdl(self, pdl):
         self._pdl = pdl
 
+    @property
+    def latency(self):
+        return self._latency
+
+    @latency.setter
+    def latency(self, latency):
+        self._latency = latency
+
     @property
     def delta_pdb_per_channel(self):
         return self._delta_pdb_per_channel
@@ -200,7 +214,7 @@ class SpectralInformation(object):
     @property
     def carriers(self):
         entries = zip(self.channel_number, self.frequency, self.baud_rate, self.slot_width,
-                      self.roll_off, self.powers, self.chromatic_dispersion, self.pmd, self.pdl)
+                      self.roll_off, self.powers, self.chromatic_dispersion, self.pmd, self.pdl, self.latency)
         return [Channel(*entry) for entry in entries]
 
     def apply_attenuation_lin(self, attenuation_lin):
@@ -239,6 +253,7 @@ class SpectralInformation(object):
                                                                    other.chromatic_dispersion),
                                        pmd=append(self.pmd, other.pmd),
                                        pdl=append(self.pdl, other.pdl),
+                                       latency=append(self.latency, other.latency),
                                        delta_pdb_per_channel=append(self.delta_pdb_per_channel,
                                                                     other.delta_pdb_per_channel),
                                        tx_osnr=append(self.tx_osnr, other.tx_osnr),
@@ -252,6 +267,7 @@ class SpectralInformation(object):
         self.chromatic_dispersion = array([c.chromatic_dispersion for c in carriers])
         self.pmd = array([c.pmd for c in carriers])
         self.pdl = array([c.pdl for c in carriers])
+        self.latency = array([c.latency for c in carriers])
         self.signal = array([c.power.signal for c in carriers])
         self.nli = array([c.power.nli for c in carriers])
         self.ase = array([c.power.ase for c in carriers])
@@ -269,6 +285,7 @@ def create_arbitrary_spectral_information(frequency: Union[ndarray, Iterable, fl
                                           chromatic_dispersion: Union[float, ndarray, Iterable] = 0.,
                                           pmd: Union[float, ndarray, Iterable] = 0.,
                                           pdl: Union[float, ndarray, Iterable] = 0.,
+                                          latency: Union[float, ndarray, Iterable] = 0.,
                                           ref_power: Pref = None,
                                           label: Union[str, ndarray, Iterable] = None):
     """This is just a wrapper around the SpectralInformation.__init__() that simplifies the creation of
@@ -284,6 +301,7 @@ def create_arbitrary_spectral_information(frequency: Union[ndarray, Iterable, fl
         chromatic_dispersion = full(number_of_channels, chromatic_dispersion)
         pmd = full(number_of_channels, pmd)
         pdl = full(number_of_channels, pdl)
+        latency = full(number_of_channels, latency)
         nli = zeros(number_of_channels)
         ase = zeros(number_of_channels)
         delta_pdb_per_channel = full(number_of_channels, delta_pdb_per_channel)
@@ -293,7 +311,7 @@ def create_arbitrary_spectral_information(frequency: Union[ndarray, Iterable, fl
                                    signal=signal, nli=nli, ase=ase,
                                    baud_rate=baud_rate, roll_off=roll_off,
                                    chromatic_dispersion=chromatic_dispersion,
-                                   pmd=pmd, pdl=pdl,
+                                   pmd=pmd, pdl=pdl, latency=latency,
                                    delta_pdb_per_channel=delta_pdb_per_channel,
                                    tx_osnr=tx_osnr,
                                    ref_power=ref_power, label=label)
@@ -304,14 +322,15 @@ def create_arbitrary_spectral_information(frequency: Union[ndarray, Iterable, fl
             raise
 
 
-def create_input_spectral_information(f_min, f_max, roll_off, baud_rate, power, spacing, tx_osnr, ref_carrier=None):
+def create_input_spectral_information(f_min, f_max, roll_off, baud_rate, power, spacing, tx_osnr, delta_pdb=0,
+                                      ref_carrier=None):
     """Creates a fixed slot width spectral information with flat power.
     all arguments are scalar values"""
     number_of_channels = automatic_nch(f_min, f_max, spacing)
     frequency = [(f_min + spacing * i) for i in range(1, number_of_channels + 1)]
     p_span0 = watt2dbm(power)
     p_spani = watt2dbm(power)
-    delta_pdb_per_channel = zeros(number_of_channels)
+    delta_pdb_per_channel = delta_pdb * ones(number_of_channels)
     label = [f'{baud_rate * 1e-9 :.2f}G' for i in range(number_of_channels)]
     return create_arbitrary_spectral_information(frequency, slot_width=spacing, signal=power, baud_rate=baud_rate,
                                                  roll_off=roll_off, delta_pdb_per_channel=delta_pdb_per_channel,

gnpy/core/network.py

@@ -1,19 +1,25 @@
 #!/usr/bin/env python3
 # -*- coding: utf-8 -*-
 
-'''
+"""
 gnpy.core.network
 =================
 
 Working with networks which consist of network elements
-'''
+"""
 
 from operator import attrgetter
-from gnpy.core import ansi_escapes, elements
+from collections import namedtuple
+from logging import getLogger
+
+from gnpy.core import elements
 from gnpy.core.exceptions import ConfigurationError, NetworkTopologyError
 from gnpy.core.utils import round2float, convert_length
 from gnpy.core.info import ReferenceCarrier
-from collections import namedtuple
+from gnpy.tools.json_io import Amp
+
+
+logger = getLogger(__name__)
 
 
 def edfa_nf(gain_target, variety_type, equipment):
@@ -104,10 +110,9 @@ def select_edfa(raman_allowed, gain_target, power_target, equipment, uid, restri
                     please increase span fiber padding')
         else:
             # TODO: convert to logging
-            print(
+            logger.warning(f'\n\tWARNING: target gain in node {uid} is below all available amplifiers min gain: '
-                f'{ansi_escapes.red}WARNING:{ansi_escapes.reset} target gain in node {uid} is below all available amplifiers min gain: \
+                           + '\n\tamplifier input padding will be assumed, consider increase span fiber padding '
-                  amplifier input padding will be assumed, consider increase span fiber padding instead'
+                           + 'instead.\n')
-            )
             acceptable_gain_min_list = edfa_list
 
     # filter on gain+power limitation:
@@ -129,12 +134,9 @@ def select_edfa(raman_allowed, gain_target, power_target, equipment, uid, restri
     # check what are the gain and power limitations of this amp
     power_reduction = round(min(selected_edfa.power, 0), 2)
     if power_reduction < -0.5:
-        print(
+        logger.warning(f'\n\tWARNING: target gain and power in node {uid}\n'
-            f'{ansi_escapes.red}WARNING:{ansi_escapes.reset} target gain and power in node {uid}\n \
+                       + '\tis beyond all available amplifiers capabilities and/or extended_gain_range:\n'
-    is beyond all available amplifiers capabilities and/or extended_gain_range:\n\
+                       + f'\ta power reduction of {power_reduction} is applied\n')
-    a power reduction of {power_reduction} is applied\n'
-        )
-
     return selected_edfa.variety, power_reduction
 
 
@@ -235,8 +237,7 @@ def set_amplifier_voa(amp, power_target, power_mode):
 
 
 def set_egress_amplifier(network, this_node, equipment, pref_ch_db, pref_total_db):
-    """ this node can be a transceiver or a ROADM (same function called in both cases)
+    """this node can be a transceiver or a ROADM (same function called in both cases)"""
-    """
     power_mode = equipment['Span']['default'].power_mode
     ref_carrier = ReferenceCarrier(baud_rate=equipment['SI']['default'].baud_rate,
                                    slot_width=equipment['SI']['default'].spacing)
@@ -283,7 +284,7 @@ def set_egress_amplifier(network, this_node, equipment, pref_ch_db, pref_total_d
                 if isinstance(prev_node, elements.Fiber):
                     max_fiber_lineic_loss_for_raman = \
                         equipment['Span']['default'].max_fiber_lineic_loss_for_raman * 1e-3  # dB/m
-                    raman_allowed = prev_node.params.loss_coef < max_fiber_lineic_loss_for_raman
+                    raman_allowed = (prev_node.params.loss_coef < max_fiber_lineic_loss_for_raman).all()
                 else:
                     raman_allowed = False
 
@@ -306,21 +307,21 @@ def set_egress_amplifier(network, this_node, equipment, pref_ch_db, pref_total_d
                 else:
                     if node.params.raman and not raman_allowed:
                         if isinstance(prev_node, elements.Fiber):
-                            print(f'{ansi_escapes.red}WARNING{ansi_escapes.reset}: raman is used in node {node.uid}\n '
+                            logger.warning(f'\n\tWARNING: raman is used in node {node.uid}\n '
-                                  'but fiber lineic loss is above threshold\n')
+                                           + '\tbut fiber lineic loss is above threshold\n')
                         else:
-                            print(f'{ansi_escapes.red}WARNING{ansi_escapes.reset}: raman is used in node {node.uid}\n '
+                            logger.critical(f'\n\tWARNING: raman is used in node {node.uid}\n '
-                                  'but previous node is not a fiber\n')
+                                            + '\tbut previous node is not a fiber\n')
                     # if variety is imposed by user, and if the gain_target (computed or imposed) is also above
                     # variety max gain + extended range, then warn that gain > max_gain + extended range
                     if gain_target - equipment['Edfa'][node.params.type_variety].gain_flatmax - \
                             equipment['Span']['default'].target_extended_gain > 1e-2:
                         # 1e-2 to allow a small margin according to round2float min step
-                        print(f'{ansi_escapes.red}WARNING{ansi_escapes.reset}: '
+                        logger.warning(f'\n\tWARNING: effective gain in Node {node.uid}\n'
-                              f'WARNING: effective gain in Node {node.uid} is above user '
+                                       + f'\tis above user specified amplifier {node.params.type_variety}\n'
-                              f'specified amplifier {node.params.type_variety}\n'
+                                       + '\tmax flat gain: '
-                              f'max flat gain: {equipment["Edfa"][node.params.type_variety].gain_flatmax}dB ; '
+                                       + f'{equipment["Edfa"][node.params.type_variety].gain_flatmax}dB ; '
-                              f'required gain: {gain_target}dB. Please check amplifier type.')
+                                       + f'required gain: {gain_target}dB. Please check amplifier type.\n')
 
                 node.delta_p = dp if power_mode else None
                 node.effective_gain = gain_target
@@ -362,7 +363,7 @@ def add_roadm_booster(network, roadm):
         network.remove_edge(roadm, next_node)
         amp = elements.Edfa(
             uid=f'Edfa_booster_{roadm.uid}_to_{next_node.uid}',
-            params={},
+            params=Amp.default_values,
             metadata={
                 'location': {
                     'latitude': roadm.lat,
@@ -388,7 +389,7 @@ def add_roadm_preamp(network, roadm):
         network.remove_edge(prev_node, roadm)
         amp = elements.Edfa(
             uid=f'Edfa_preamp_{roadm.uid}_from_{prev_node.uid}',
-            params={},
+            params=Amp.default_values,
             metadata={
                 'location': {
                     'latitude': roadm.lat,
@@ -417,7 +418,7 @@ def add_inline_amplifier(network, fiber):
         network.remove_edge(fiber, next_node)
         amp = elements.Edfa(
             uid=f'Edfa_{fiber.uid}',
-            params={},
+            params=Amp.default_values,
             metadata={
                 'location': {
                     'latitude': (fiber.lat + next_node.lat) / 2,

gnpy/core/parameters.py

@@ -7,9 +7,10 @@ gnpy.core.parameters
 
 This module contains all parameters to configure standard network elements.
 """
+from collections import namedtuple
 
 from scipy.constants import c, pi
-from numpy import asarray, array
+from numpy import asarray, array, exp, sqrt, log, outer, ones, squeeze, append, flip, linspace, full
 
 from gnpy.core.utils import convert_length
 from gnpy.core.exceptions import ParametersError
@@ -36,6 +37,7 @@ class PumpParams(Parameters):
 class RamanParams(Parameters):
     def __init__(self, flag=False, result_spatial_resolution=10e3, solver_spatial_resolution=50):
         """Simulation parameters used within the Raman Solver
+
         :params flag: boolean for enabling/disable the evaluation of the Raman power profile in frequency and position
         :params result_spatial_resolution: spatial resolution of the evaluated Raman power profile
         :params solver_spatial_resolution: spatial step for the iterative solution of the first order ode
@@ -49,6 +51,7 @@ class NLIParams(Parameters):
     def __init__(self, method='gn_model_analytic', dispersion_tolerance=1, phase_shift_tolerance=0.1,
                  computed_channels=None):
         """Simulation parameters used within the Nli Solver
+
         :params method: formula for NLI calculation
         :params dispersion_tolerance: tuning parameter for ggn model solution
         :params phase_shift_tolerance: tuning parameter for ggn model solution
@@ -63,20 +66,11 @@ class NLIParams(Parameters):
 class SimParams(Parameters):
     _shared_dict = {'nli_params': NLIParams(), 'raman_params': RamanParams()}
 
-    def __init__(self):
-        if type(self) == SimParams:
-            raise NotImplementedError('Instances of SimParams cannot be generated')
-
     @classmethod
     def set_params(cls, sim_params):
         cls._shared_dict['nli_params'] = NLIParams(**sim_params.get('nli_params', {}))
         cls._shared_dict['raman_params'] = RamanParams(**sim_params.get('raman_params', {}))
 
-    @classmethod
-    def get(cls):
-        self = cls.__new__(cls)
-        return self
-
     @property
     def nli_params(self):
         return self._shared_dict['nli_params']
@@ -113,26 +107,50 @@ class FusedParams(Parameters):
         self.loss = kwargs['loss'] if 'loss' in kwargs else 1
 
 
-# SSMF Raman coefficient profile normalized with respect to the effective area (Cr * A_eff)
+DEFAULT_RAMAN_COEFFICIENT = {
-CR_NORM = array([
+    # SSMF Raman coefficient profile normalized with respect to the effective area overlap (g0 * A_eff(f_probe, f_pump))
-    0., 7.802e-16, 2.4236e-15, 4.0504e-15, 5.6606e-15, 6.8973e-15, 7.802e-15, 8.4162e-15, 8.8727e-15, 9.2877e-15,
+    'g0': array(
-    1.01011e-14, 1.05244e-14, 1.13295e-14, 1.2367e-14, 1.3695e-14, 1.5023e-14, 1.64091e-14, 1.81936e-14, 2.04927e-14,
+        [0.00000000e+00, 1.12351610e-05, 3.47838074e-05, 5.79356636e-05, 8.06921680e-05, 9.79845709e-05, 1.10454361e-04,
-    2.28167e-14, 2.48917e-14, 2.66098e-14, 2.82615e-14, 2.98136e-14, 3.1042e-14, 3.17558e-14, 3.18803e-14, 3.17558e-14,
+         1.18735302e-04, 1.24736889e-04, 1.30110053e-04, 1.41001273e-04, 1.46383247e-04, 1.57011792e-04, 1.70765865e-04,
-    3.15566e-14, 3.11748e-14, 2.94567e-14, 3.14985e-14, 2.8552e-14, 2.43439e-14, 1.67992e-14, 9.6114e-15, 7.02180e-15,
+         1.88408911e-04, 2.05914127e-04, 2.24074028e-04, 2.47508283e-04, 2.77729174e-04, 3.08044243e-04, 3.34764439e-04,
-    5.9262e-15, 5.6938e-15, 7.055e-15, 7.4119e-15, 7.4783e-15, 6.7645e-15, 5.5361e-15, 3.6271e-15, 2.7224e-15,
+         3.56481704e-04, 3.77127256e-04, 3.96269124e-04, 4.10955175e-04, 4.18718761e-04, 4.19511263e-04, 4.17025384e-04,
-    2.4568e-15, 2.1995e-15, 2.1331e-15, 2.3323e-15, 2.5564e-15, 3.0461e-15, 4.8555e-15, 5.5029e-15, 5.2788e-15,
+         4.13565369e-04, 4.07726048e-04, 3.83671291e-04, 4.08564283e-04, 3.69571936e-04, 3.14442090e-04, 2.16074535e-04,
-    4.565e-15, 3.3698e-15, 2.2991e-15, 2.0086e-15, 1.5521e-15, 1.328e-15, 1.162e-15, 9.379e-16, 8.715e-16, 8.134e-16,
+         1.23097823e-04, 8.95457457e-05, 7.52470400e-05, 7.19806145e-05, 8.87961158e-05, 9.30812065e-05, 9.37058268e-05,
-    8.134e-16, 9.379e-16, 1.3612e-15, 1.6185e-15, 1.9754e-15, 1.8758e-15, 1.6849e-15, 1.2284e-15, 9.047e-16, 8.134e-16,
+         8.45719619e-05, 6.90585286e-05, 4.50407159e-05, 3.36521245e-05, 3.02292475e-05, 2.69376939e-05, 2.60020897e-05,
-    8.715e-16, 9.711e-16, 1.0375e-15, 1.0043e-15, 9.047e-16, 8.134e-16, 6.806e-16, 5.478e-16, 3.901e-16, 2.241e-16,
+         2.82958958e-05, 3.08667558e-05, 3.66024657e-05, 5.80610307e-05, 6.54797937e-05, 6.25022715e-05, 5.37806442e-05,
-    1.577e-16, 9.96e-17, 3.32e-17, 1.66e-17, 8.3e-18])
+         3.94996621e-05, 2.68120644e-05, 2.33038554e-05, 1.79140757e-05, 1.52472424e-05, 1.32707565e-05, 1.06541760e-05,
+         9.84649374e-06, 9.13999627e-06, 9.08971012e-06, 1.04227525e-05, 1.50419271e-05, 1.77838232e-05, 2.15810815e-05,
+         2.03744008e-05, 1.81939341e-05, 1.31862121e-05, 9.65352116e-06, 8.62698322e-06, 9.18688016e-06, 1.01737784e-05,
+         1.08017817e-05, 1.03903588e-05, 9.30040333e-06, 8.30809173e-06, 6.90650401e-06, 5.52238029e-06, 3.90648708e-06,
+         2.22908227e-06, 1.55796177e-06, 9.77218716e-07, 3.23477236e-07, 1.60602454e-07, 7.97306386e-08]
+    ),  # [m/W]
 
     # Note the non-uniform spacing of this range; this is required for properly capturing the Raman peak shape.
-FREQ_OFFSET = array([
+    'frequency_offset': array([
-    0., 0.5, 1., 1.5, 2., 2.5, 3., 3.5, 4., 4.5, 5., 5.5, 6., 6.5, 7., 7.5, 8., 8.5, 9., 9.5, 10., 10.5, 11., 11.5, 12.,
+        0., 0.5, 1., 1.5, 2., 2.5, 3., 3.5, 4., 4.5, 5., 5.5, 6., 6.5, 7., 7.5, 8., 8.5, 9., 9.5, 10., 10.5, 11., 11.5,
+        12.,
         12.5, 12.75, 13., 13.25, 13.5, 14., 14.5, 14.75, 15., 15.5, 16., 16.5, 17., 17.5, 18., 18.25, 18.5, 18.75, 19.,
-    19.5, 20., 20.5, 21., 21.5, 22., 22.5, 23., 23.5, 24., 24.5, 25., 25.5, 26., 26.5, 27., 27.5, 28., 28.5, 29., 29.5,
+        19.5, 20., 20.5, 21., 21.5, 22., 22.5, 23., 23.5, 24., 24.5, 25., 25.5, 26., 26.5, 27., 27.5, 28., 28.5, 29.,
-    30., 30.5, 31., 31.5, 32., 32.5, 33., 33.5, 34., 34.5, 35., 35.5, 36., 36.5, 37., 37.5, 38., 38.5, 39., 39.5, 40.,
+        29.5,
-    40.5, 41., 41.5, 42.]) * 1e12
+        30., 30.5, 31., 31.5, 32., 32.5, 33., 33.5, 34., 34.5, 35., 35.5, 36., 36.5, 37., 37.5, 38., 38.5, 39., 39.5,
+        40.,
+        40.5, 41., 41.5, 42.]
+    ) * 1e12,  # [Hz]
+
+    # Raman profile reference frequency
+    'reference_frequency': 206184634112792  # [Hz] (1454 nm)}
+}
+
+
+class RamanGainCoefficient(namedtuple('RamanGainCoefficient', 'normalized_gamma_raman frequency_offset')):
+    """ Raman Gain Coefficient Parameters
+
+        Based on:
+            Andrea D’Amico, Bruno Correia, Elliot London, Emanuele Virgillito, Giacomo Borraccini, Antonio Napoli,
+            and Vittorio Curri, "Scalable and Disaggregated GGN Approximation Applied to a C+L+S Optical Network,"
+            J. Lightwave Technol. 40, 3499-3511 (2022)
+            Section III.D
+    """
 
 
 class FiberParams(Parameters):
@@ -146,6 +164,8 @@ class FiberParams(Parameters):
             # with default values from eqpt_config.json[Spans]
             self._con_in = kwargs.get('con_in')
             self._con_out = kwargs.get('con_out')
+
+            # Reference frequency (unique for all parameters: beta2, beta3, gamma, effective_area)
             if 'ref_wavelength' in kwargs:
                 self._ref_wavelength = kwargs['ref_wavelength']
                 self._ref_frequency = c / self._ref_wavelength
@@ -155,35 +175,70 @@ class FiberParams(Parameters):
             else:
                 self._ref_wavelength = 1550e-9  # conventional central C band wavelength [m]
                 self._ref_frequency = c / self._ref_wavelength
-            self._dispersion = kwargs['dispersion']  # s/m/m
+
-            self._dispersion_slope = \
+            # Chromatic Dispersion
-                kwargs.get('dispersion_slope', -2 * self._dispersion / self.ref_wavelength)  # s/m/m/m
+            if 'dispersion_per_frequency' in kwargs:
-            self._beta2 = -(self.ref_wavelength ** 2) * self.dispersion / (2 * pi * c)  # 1/(m * Hz^2)
+                # Frequency-dependent dispersion
-            # Eq. (3.23) in  Abramczyk, Halina. "Dispersion phenomena in optical fibers." Virtual European University
+                self._dispersion = asarray(kwargs['dispersion']['value'])  # s/m/m
-            # on Lasers. Available online: http://mitr.p.lodz.pl/evu/lectures/Abramczyk3.pdf
+                self._f_dispersion_ref = asarray(kwargs['dispersion']['frequency'])  # Hz
-            # (accessed on 25 March 2018) (2005).
+                self._dispersion_slope = None
-            self._beta3 = ((self.dispersion_slope - (4*pi*c/self.ref_wavelength**3) * self.beta2) /
+            elif 'dispersion' in kwargs:
-                           (2*pi*c/self.ref_wavelength**2)**2)
+                # Single value dispersion
+                self._dispersion = asarray(kwargs['dispersion'])  # s/m/m
+                self._dispersion_slope = kwargs.get('dispersion_slope')  # s/m/m/m
+                self._f_dispersion_ref = asarray(self._ref_frequency)  # Hz
+            else:
+                # Default single value dispersion
+                self._dispersion = asarray(1.67e-05)  # s/m/m
+                self._dispersion_slope = None
+                self._f_dispersion_ref = asarray(self.ref_frequency)  # Hz
+
+            # Effective Area and Nonlinear Coefficient
             self._effective_area = kwargs.get('effective_area')  # m^2
-            n2 = 2.6e-20  # m^2/W
+            self._n1 = 1.468
-            if self._effective_area:
+            self._core_radius = 4.2e-6  # m
-                self._gamma = kwargs.get('gamma', 2 * pi * n2 / (self.ref_wavelength * self._effective_area))  # 1/W/m
+            self._n2 = 2.6e-20  # m^2/W
+            if self._effective_area is not None:
+                default_gamma = 2 * pi * self._n2 / (self._ref_wavelength * self._effective_area)
+                self._gamma = kwargs.get('gamma', default_gamma)  # 1/W/m
             elif 'gamma' in kwargs:
                 self._gamma = kwargs['gamma']  # 1/W/m
-                self._effective_area = 2 * pi * n2 / (self.ref_wavelength * self._gamma)  # m^2
+                self._effective_area = 2 * pi * self._n2 / (self._ref_wavelength * self._gamma)  # m^2
             else:
-                self._gamma = 0  # 1/W/m
                 self._effective_area = 83e-12  # m^2
-            default_raman_efficiency = {'cr': CR_NORM / self._effective_area, 'frequency_offset': FREQ_OFFSET}
+                self._gamma = 2 * pi * self._n2 / (self._ref_wavelength * self._effective_area)  # 1/W/m
-            self._raman_efficiency = kwargs.get('raman_efficiency', default_raman_efficiency)
+            self._contrast = 0.5 * (c / (2 * pi * self._ref_frequency * self._core_radius * self._n1) * exp(
+                pi * self._core_radius ** 2 / self._effective_area)) ** 2
+
+            # Raman Gain Coefficient
+            raman_coefficient = kwargs.get('raman_coefficient', DEFAULT_RAMAN_COEFFICIENT)
+            self._g0 = asarray(raman_coefficient['g0'])
+            raman_reference_frequency = raman_coefficient['reference_frequency']
+            frequency_offset = asarray(raman_coefficient['frequency_offset'])
+            stokes_wave = raman_reference_frequency - frequency_offset
+            gamma_raman = self._g0 * self.effective_area_overlap(stokes_wave, raman_reference_frequency)
+            normalized_gamma_raman = gamma_raman / raman_reference_frequency  # 1 / m / W / Hz
+            self._raman_reference_frequency = raman_reference_frequency
+
+            # Raman gain coefficient array of the frequency offset constructed such that positive frequency values
+            # represent a positive power transfer from higher frequency and vice versa
+            frequency_offset = append(-flip(frequency_offset[1:]), frequency_offset)
+            normalized_gamma_raman = append(- flip(normalized_gamma_raman[1:]), normalized_gamma_raman)
+            self._raman_coefficient = RamanGainCoefficient(normalized_gamma_raman, frequency_offset)
+
+            # Polarization Mode Dispersion
             self._pmd_coef = kwargs['pmd_coef']  # s/sqrt(m)
-            if type(kwargs['loss_coef']) == dict:
+
+            # Loss Coefficient
+            if isinstance(kwargs['loss_coef'], dict):
                 self._loss_coef = asarray(kwargs['loss_coef']['value']) * 1e-3  # lineic loss dB/m
                 self._f_loss_ref = asarray(kwargs['loss_coef']['frequency'])  # Hz
             else:
                 self._loss_coef = asarray(kwargs['loss_coef']) * 1e-3  # lineic loss dB/m
                 self._f_loss_ref = asarray(self._ref_frequency)  # Hz
-            self._lumped_losses = kwargs['lumped_losses'] if 'lumped_losses' in kwargs else []
+            # Lumped Losses
+            self._lumped_losses = kwargs['lumped_losses'] if 'lumped_losses' in kwargs else array([])
+            self._latency = self._length / (c / self._n1)  # s
         except KeyError as e:
             raise ParametersError(f'Fiber configurations json must include {e}. Configuration: {kwargs}')
 
@@ -228,6 +283,10 @@ class FiberParams(Parameters):
     def dispersion(self):
         return self._dispersion
 
+    @property
+    def f_dispersion_ref(self):
+        return self._f_dispersion_ref
+
     @property
     def dispersion_slope(self):
         return self._dispersion_slope
@@ -236,6 +295,20 @@ class FiberParams(Parameters):
     def gamma(self):
         return self._gamma
 
+    def effective_area_scaling(self, frequency):
+        V = 2 * pi * frequency / c * self._core_radius * self._n1 * sqrt(2 * self._contrast)
+        w = self._core_radius / sqrt(log(V))
+        return asarray(pi * w ** 2)
+
+    def effective_area_overlap(self, frequency_stokes_wave, frequency_pump):
+        effective_area_stokes_wave = self.effective_area_scaling(frequency_stokes_wave)
+        effective_area_pump = self.effective_area_scaling(frequency_pump)
+        return squeeze(outer(effective_area_stokes_wave, ones(effective_area_pump.size)) + outer(
+            ones(effective_area_stokes_wave.size), effective_area_pump)) / 2
+
+    def gamma_scaling(self, frequency):
+        return asarray(2 * pi * self._n2 * frequency / (c * self.effective_area_scaling(frequency)))
+
     @property
     def pmd_coef(self):
         return self._pmd_coef
@@ -248,14 +321,6 @@ class FiberParams(Parameters):
     def ref_frequency(self):
         return self._ref_frequency
 
-    @property
-    def beta2(self):
-        return self._beta2
-
-    @property
-    def beta3(self):
-        return self._beta3
-
     @property
     def loss_coef(self):
         return self._loss_coef
@@ -265,36 +330,125 @@ class FiberParams(Parameters):
         return self._f_loss_ref
 
     @property
-    def raman_efficiency(self):
+    def raman_coefficient(self):
-        return self._raman_efficiency
+        return self._raman_coefficient
+
+    @property
+    def latency(self):
+        return self._latency
 
     def asdict(self):
         dictionary = super().asdict()
         dictionary['loss_coef'] = self.loss_coef * 1e3
         dictionary['length_units'] = 'm'
-        if not self.lumped_losses:
+        if len(self.lumped_losses) == 0:
             dictionary.pop('lumped_losses')
-        if not self.raman_efficiency:
+        if not self.raman_coefficient:
-            dictionary.pop('raman_efficiency')
+            dictionary.pop('raman_coefficient')
+        else:
+            raman_frequency_offset = \
+                self.raman_coefficient.frequency_offset[self.raman_coefficient.frequency_offset >= 0]
+            dictionary['raman_coefficient'] = {'g0': self._g0.tolist(),
+                                               'frequency_offset': raman_frequency_offset.tolist(),
+                                               'reference_frequency': self._raman_reference_frequency}
         return dictionary
 
 
 class EdfaParams:
     def __init__(self, **params):
-        self.update_params(params)
+        try:
-        if params == {}:
+            self.type_variety = params['type_variety']
-            self.type_variety = ''
+            self.type_def = params['type_def']
-            self.type_def = ''
+
-            # self.gain_flatmax = 0
+            # Bandwidth
-            # self.gain_min = 0
+            self.f_min = params['f_min']
-            # self.p_max = 0
+            self.f_max = params['f_max']
-            # self.nf_model = None
+            self.bandwidth = self.f_max - self.f_min
-            # self.nf_fit_coeff = None
+            self.f_cent = (self.f_max + self.f_min) / 2
-            # self.nf_ripple = None
+            self.f_ripple_ref = params['f_ripple_ref']
-            # self.dgt = None
+
-            # self.gain_ripple = None
+            # Gain
-            # self.out_voa_auto = False
+            self.gain_flatmax = params['gain_flatmax']
-            # self.allowed_for_design = None
+            self.gain_min = params['gain_min']
+
+            gain_ripple = params['gain_ripple']
+            if gain_ripple == 0:
+                self.gain_ripple = asarray([0, 0])
+                self.f_ripple_ref = asarray([self.f_min, self.f_max])
+            else:
+                self.gain_ripple = asarray(gain_ripple)
+                if self.f_ripple_ref is not None:
+                    if (self.f_ripple_ref[0] != self.f_min) or (self.f_ripple_ref[-1] != self.f_max):
+                        raise ParametersError("The reference ripple frequency maximum and minimum have to coincide "
+                                              "with the EDFA frequency maximum and minimum.")
+                    elif self.gain_ripple.size != self.f_ripple_ref.size:
+                        raise ParametersError("The reference ripple frequency and the gain ripple must have the same "
+                                              "size.")
+                else:
+                    self.f_ripple_ref = linspace(self.f_min, self.f_max, self.gain_ripple.size)
+
+            tilt_ripple = params['tilt_ripple']
+
+            if tilt_ripple == 0:
+                self.tilt_ripple = full(self.gain_ripple.size, 0)
+            else:
+                self.tilt_ripple = asarray(tilt_ripple)
+                if self.tilt_ripple.size != self.gain_ripple.size:
+                    raise ParametersError("The tilt ripple and the gain ripple must have the same size.")
+
+            # Power
+            self.p_max = params['p_max']
+
+            # Noise Figure
+            self.nf_model = params['nf_model']
+            self.nf_min = params['nf_min']
+            self.nf_max = params['nf_max']
+            self.nf_coef = params['nf_coef']
+            self.nf0 = params['nf0']
+            self.nf_fit_coeff = params['nf_fit_coeff']
+
+            nf_ripple = params['nf_ripple']
+            if nf_ripple == 0:
+                self.nf_ripple = full(self.gain_ripple.size, 0)
+            else:
+                self.nf_ripple = asarray(nf_ripple)
+                if self.nf_ripple.size != self.gain_ripple.size:
+                    raise ParametersError("The noise figure ripple and the gain ripple must have the same size.")
+
+            # VOA
+            self.out_voa_auto = params['out_voa_auto']
+
+            # Dual Stage
+            self.dual_stage_model = params['dual_stage_model']
+            if self.dual_stage_model is not None:
+                # Preamp
+                self.preamp_variety = params['preamp_variety']
+                self.preamp_type_def = params['preamp_type_def']
+                self.preamp_nf_model = params['preamp_nf_model']
+                self.preamp_nf_fit_coeff = params['preamp_nf_fit_coeff']
+                self.preamp_gain_min = params['preamp_gain_min']
+                self.preamp_gain_flatmax = params['preamp_gain_flatmax']
+
+                # Booster
+                self.booster_variety = params['booster_variety']
+                self.booster_type_def = params['booster_type_def']
+                self.booster_nf_model = params['booster_nf_model']
+                self.booster_nf_fit_coeff = params['booster_nf_fit_coeff']
+                self.booster_gain_min = params['booster_gain_min']
+                self.booster_gain_flatmax = params['booster_gain_flatmax']
+
+            # Others
+            self.pmd = params['pmd']
+            self.pdl = params['pdl']
+            self.raman = params['raman']
+            self.dgt = params['dgt']
+            self.advance_configurations_from_json = params['advance_configurations_from_json']
+
+            # Design
+            self.allowed_for_design = params['allowed_for_design']
+
+        except KeyError as e:
+            raise ParametersError(f'Edfa configurations json must include {e}. Configuration: {params}')
 
     def update_params(self, kwargs):
         for k, v in kwargs.items():

gnpy/core/science_utils.py

@@ -10,9 +10,9 @@ Solver definitions to calculate the Raman effect and the nonlinear interference
 The solvers take as input instances of the spectral information, the fiber and the simulation parameters
 """
 
-from numpy import interp, pi, zeros, shape, where, cos, array, append, ones, exp, arange, sqrt, trapz, arcsinh, \
+from numpy import interp, pi, zeros, cos, array, append, ones, exp, arange, sqrt, trapz, arcsinh, clip, abs, sum, \
-    clip, abs, sum, concatenate, flip, outer, inner, transpose, max, format_float_scientific, diag, prod, argwhere, \
+    concatenate, flip, outer, inner, transpose, max, format_float_scientific, diag, sort, unique, argsort, cumprod, \
-    unique, argsort, cumprod
+    polyfit
 from logging import getLogger
 from scipy.constants import k, h
 from scipy.interpolate import interp1d
@@ -24,31 +24,30 @@ from gnpy.core.parameters import SimParams
 from gnpy.core.info import SpectralInformation
 
 logger = getLogger(__name__)
-sim_params = SimParams.get()
+sim_params = SimParams()
 
-def raised_cosine_comb(f, *carriers):
-    """ Returns an array storing the PSD of a WDM comb of raised cosine shaped
-    channels at the input frequencies defined in array f
 
-    :param f: numpy array of frequencies in Hz
+def raised_cosine(frequency, channel_frequency, channel_baud_rate, channel_roll_off):
-    :param carriers: namedtuple describing the WDM comb
+    """Returns a unitary raised cosine profile for the given parame
-    :return: PSD of the WDM comb evaluated over f
+
+    :param frequency: numpy array of frequencies in Hz for the resulting raised cosine
+    :param channel_frequency: channel frequencies in Hz
+    :param channel_baud_rate: channel baud rate in Hz
+    :param channel_roll_off: channel roll off
     """
-    psd = zeros(shape(f))
+    raised_cosine_mask = zeros(frequency.size)
-    for carrier in carriers:
+    base_frequency = frequency - channel_frequency
-        f_nch = carrier.frequency
+    ts = 1 / channel_baud_rate
-        g_ch = carrier.power.signal / carrier.baud_rate
+    pass_band = (1 - channel_roll_off) * channel_baud_rate / 2
-        ts = 1 / carrier.baud_rate
+    stop_band = (1 + channel_roll_off) * channel_baud_rate / 2
-        pass_band = (1 - carrier.roll_off) / (2 / carrier.baud_rate)
+
-        stop_band = (1 + carrier.roll_off) / (2 / carrier.baud_rate)
+    flat_condition = (abs(base_frequency) <= pass_band) == 1
-        ff = abs(f - f_nch)
+    cosine_condition = (pass_band < abs(base_frequency)) * (abs(base_frequency) < stop_band) == 1
-        tf = ff - pass_band
+
-        if carrier.roll_off == 0:
+    raised_cosine_mask[flat_condition] = 1
-            psd = where(tf <= 0, g_ch, 0.) + psd
+    raised_cosine_mask[cosine_condition] = \
-        else:
+        0.5 * (1 + cos(pi * ts / channel_roll_off * (abs(base_frequency[cosine_condition]) - pass_band)))
-            psd = g_ch * (where(tf <= 0, 1., 0.) + 1 / 2 * (1 + cos(pi * ts / carrier.roll_off * tf)) *
+    return raised_cosine_mask
-                          where(tf > 0, 1., 0.) * where(abs(ff) <= stop_band, 1., 0.)) + psd
-    return psd
 
 
 class StimulatedRamanScattering:
@@ -110,6 +109,7 @@ class RamanSolver:
             z_step = sim_params.raman_params.solver_spatial_resolution
             z = append(arange(0, fiber.params.length, z_step), fiber.params.length)
             z_final = append(arange(0, fiber.params.length, z_resolution), fiber.params.length)
+            z_final = sort(unique(concatenate((fiber.z_lumped_losses, z_final))))
 
             # Lumped losses array definition
             z, lumped_losses = RamanSolver._create_lumped_losses(z, fiber.lumped_losses, fiber.z_lumped_losses)
@@ -190,13 +190,13 @@ class RamanSolver:
 
         # calculate ase power
         ase = zeros(spectral_info.number_of_channels)
+        cr = fiber.cr(srs.frequency)[:spectral_info.number_of_channels, spectral_info.number_of_channels:]
         for i, pump in enumerate(fiber.raman_pumps):
             pump_power = srs.power_profile[spectral_info.number_of_channels + i, :]
             df = pump.frequency - frequency
             eta = - 1 / (1 - exp(h * df / (k * fiber.temperature)))
-            cr = fiber._cr_function(df)
             integral = trapz(pump_power / channels_loss, z, axis=1)
-            ase += 2 * h * baud_rate * frequency * (1 + eta) * cr * (df > 0) * integral  # 2 factor for double pol
+            ase += 2 * h * baud_rate * frequency * (1 + eta) * cr[:, i] * (df > 0) * integral  # 2 factor for double pol
         return ase
 
     @staticmethod
@@ -275,9 +275,12 @@ class NliSolver:
     Model and method can be specified in `sim_params.nli_params.method`.
     List of implemented methods:
     'gn_model_analytic': eq. 120 from arXiv:1209.0394
-        'ggn_spectrally_separated': eq. 21 from arXiv: 1710.02225 spectrally separated
+    'ggn_spectrally_separated': eq. 21 from arXiv: 1710.02225
     """
 
+    SPM_WEIGHT = (16.0 / 27.0)
+    XPM_WEIGHT = 2 * (16.0 / 27.0)
+
     @staticmethod
     def effective_length(alpha, length):
         """The effective length identify the region in which the NLI has a significant contribution to
@@ -291,54 +294,77 @@ class NliSolver:
         at the end of the fiber span.
         """
         logger.debug('Start computing fiber NLI noise')
-        # Physical fiber parameters
-        alpha = fiber.alpha(spectral_info.frequency)
-        beta2 = fiber.params.beta2
-        beta3 = fiber.params.beta3
-        f_ref_beta = fiber.params.ref_frequency
-        gamma = fiber.params.gamma
-        length = fiber.params.length
 
         if 'gn_model_analytic' == sim_params.nli_params.method:
-            nli = NliSolver._gn_analytic(spectral_info, alpha, beta2, gamma, length)
+            eta = NliSolver._gn_analytic(spectral_info, fiber)
+
+            cut_power = outer(spectral_info.signal, ones(spectral_info.number_of_channels))
+            pump_power = outer(ones(spectral_info.number_of_channels), spectral_info.signal)
+            nli_matrix = cut_power * pump_power ** 2 * eta
+            nli = sum(nli_matrix, 1)
         elif 'ggn_spectrally_separated' in sim_params.nli_params.method:
-            nli = NliSolver._ggn_spectrally_separated(spectral_info, srs, alpha, beta2, beta3, f_ref_beta, gamma)
+            if sim_params.nli_params.computed_channels is not None:
+                cut_indices = array(sim_params.nli_params.computed_channels) - 1
+            else:
+                cut_indices = array(spectral_info.channel_number) - 1
+
+            eta = NliSolver._ggn_spectrally_separated(cut_indices, spectral_info, fiber, srs)
+
+            # Interpolation over the channels not indicated as compted channels in simulation parameters
+            cut_power = outer(spectral_info.signal[cut_indices], ones(spectral_info.number_of_channels))
+            cut_frequency = spectral_info.frequency[cut_indices]
+            pump_power = outer(ones(cut_indices.size), spectral_info.signal)
+            cut_baud_rate = outer(spectral_info.baud_rate[cut_indices], ones(spectral_info.number_of_channels))
+
+            g_nli = eta * cut_power * pump_power**2 / cut_baud_rate
+            g_nli = sum(g_nli, 1)
+            g_nli = interp(spectral_info.frequency, cut_frequency, g_nli)
+            nli = spectral_info.baud_rate * g_nli  # Local white noise
         else:
             raise ValueError(f'Method {sim_params.nli_params.method} not implemented.')
+
         return nli
 
-    # Methods for computing GN-model
+    # Methods for computing GN-model eta matrix
     @staticmethod
-    def _gn_analytic(spectral_info: SpectralInformation, alpha, beta2, gamma, length):
+    def _gn_analytic(spectral_info, fiber, spm_weight=SPM_WEIGHT, xpm_weight=XPM_WEIGHT):
         """Computes the nonlinear interference power evaluated at the fiber input.
         The method uses eq. 120 from arXiv:1209.0394
         """
-        spm_weight = (16.0 / 27.0) * gamma ** 2
+        # Spectral Features
-        xpm_weight = 2 * (16.0 / 27.0) * gamma ** 2
-
         nch = spectral_info.number_of_channels
+        frequency = spectral_info.frequency
+        baud_rate = spectral_info.baud_rate
+        delta_frequency = spectral_info.df
+
+        # Physical fiber parameters
+        alpha = fiber.alpha(frequency)
+        beta2 = fiber.beta2(frequency)
+        gamma = outer(fiber.gamma(frequency), ones(nch))
+        length = fiber.params.length
+
         identity = diag(ones(nch))
         weight = spm_weight * identity + xpm_weight * (ones([nch, nch]) - identity)
 
         effective_length = NliSolver.effective_length(alpha, length)
         asymptotic_length = 1 / alpha
 
-        df = spectral_info.df
+        cut_baud_rate = outer(baud_rate, ones(nch))
-        baud_rate = spectral_info.baud_rate
+        pump_baud_rate = outer(ones(nch), baud_rate)
 
-        psd = spectral_info.signal / baud_rate
+        psi = NliSolver._psi(delta_frequency, baud_rate, beta2, effective_length, asymptotic_length)
-        ggg = outer(psd, psd**2)
+        eta_cut_central_frequency = gamma ** 2 * weight * psi / (cut_baud_rate * pump_baud_rate ** 2)
-
+        eta = cut_baud_rate * eta_cut_central_frequency  # Local white noise
-        psi = NliSolver._psi(df, baud_rate, beta2, effective_length, asymptotic_length)
+        return eta
-        g_nli = sum(weight * ggg * psi, 1)
-        nli = spectral_info.baud_rate * g_nli  # Local white noise
-        return nli
 
     @staticmethod
     def _psi(df, baud_rate, beta2, effective_length, asymptotic_length):
         """Calculates eq. 123 from `arXiv:1209.0394 <https://arxiv.org/abs/1209.0394>`__"""
         cut_baud_rate = outer(baud_rate, ones(baud_rate.size))
+        cut_beta = outer(beta2, ones(baud_rate.size))
         pump_baud_rate = baud_rate
+        pump_beta = outer(ones(baud_rate.size), beta2)
+        beta2 = (cut_beta + pump_beta) / 2
         right_extreme = df + pump_baud_rate / 2
         left_extreme = df - pump_baud_rate / 2
         psi = (arcsinh(pi ** 2 * asymptotic_length * abs(beta2) * cut_baud_rate * right_extreme) -
@@ -346,112 +372,133 @@ class NliSolver:
         psi *= effective_length ** 2 / (2 * pi * abs(beta2) * asymptotic_length)
         return psi
 
-    # Methods for computing the GGN-model
+    # Methods for computing the GGN-model eta matrix
     @staticmethod
-    def _ggn_spectrally_separated(spectral_info: SpectralInformation, srs: StimulatedRamanScattering,
+    def _ggn_spectrally_separated(cut_indices, spectral_info, fiber, srs, spm_weight=SPM_WEIGHT, xpm_weight=XPM_WEIGHT):
-                                  alpha, beta2, beta3, f_ref_beta, gamma):
         """Computes the nonlinear interference power evaluated at the fiber input.
         The method uses eq. 21 from arXiv: 1710.02225
         """
+        # Spectral Features
+        nch = spectral_info.number_of_channels
+        frequency = spectral_info.frequency
+        baud_rate = spectral_info.baud_rate
+        slot_width = spectral_info.slot_width
+        roll_off = spectral_info.roll_off
+
+        # Physical fiber parameters
+        alpha = fiber.alpha(frequency)
+        beta2 = fiber.beta2(frequency)
+        gamma = outer(fiber.gamma(frequency[cut_indices]), ones(nch))
+
+        identity = diag(ones(nch))
+        weight = spm_weight * identity + xpm_weight * (ones([nch, nch]) - identity)
+        weight = weight[cut_indices, :]
+
         dispersion_tolerance = sim_params.nli_params.dispersion_tolerance
         phase_shift_tolerance = sim_params.nli_params.phase_shift_tolerance
-        slot_width = max(spectral_info.slot_width)
+        max_slot_width = max(slot_width)
         delta_z = sim_params.raman_params.result_spatial_resolution
-        spm_weight = (16.0 / 27.0) * gamma ** 2
-        xpm_weight = 2 * (16.0 / 27.0) * gamma ** 2
-        cuts = [carrier for carrier in spectral_info.carriers if carrier.channel_number
-                in sim_params.nli_params.computed_channels] if sim_params.nli_params.computed_channels \
-            else spectral_info.carriers
 
-        g_nli = array([])
+        psi_cut_central_frequency = zeros([cut_indices.size, nch])
-        f_nli = array([])
+        for i, cut_index in enumerate(cut_indices):
-        for cut_carrier in cuts:
+            logger.debug(f'Start computing fiber NLI noise of cut: {cut_index + 1}')
-            logger.debug(f'Start computing fiber NLI noise of cut: {cut_carrier}')
+            cut_frequency = frequency[cut_index]
-            f_eval = cut_carrier.frequency
+            cut_baud_rate = baud_rate[cut_index]
-            g_nli_computed = 0
+            cut_roll_off = roll_off[cut_index]
-            g_cut = (cut_carrier.power.signal / cut_carrier.baud_rate)
+            cut_number = cut_index + 1
-            for j, pump_carrier in enumerate(spectral_info.carriers):
+            cut_beta2 = beta2[cut_index]
-                dn = abs(pump_carrier.channel_number - cut_carrier.channel_number)
+            cut_base_frequency = frequency - cut_frequency
-                delta_f = abs(cut_carrier.frequency - pump_carrier.frequency)
+            cut_beta_coefficients = polyfit(cut_base_frequency, beta2, 2)
-                k_tol = dispersion_tolerance * abs(alpha[j])
+            cut_beta3 = cut_beta_coefficients[1] / (2 * pi)
+
+            for pump_index in range(nch):
+                pump_frequency = frequency[pump_index]
+                pump_baud_rate = baud_rate[pump_index]
+                pump_roll_off = roll_off[pump_index]
+                pump_number = pump_index + 1
+                pump_alpha = alpha[pump_index]
+                dn = abs(pump_number - cut_number)
+                delta_f = abs(cut_frequency - pump_frequency)
+                k_tol = dispersion_tolerance * abs(alpha[pump_index])
                 phi_tol = phase_shift_tolerance / delta_z
-                f_cut_resolution = min(k_tol, phi_tol) / abs(beta2) / (4 * pi ** 2 * (1 + dn) * slot_width)
+                f_cut_resolution = min(k_tol, phi_tol) / abs(cut_beta2) / (4 * pi ** 2 * (1 + dn) * max_slot_width)
-                f_pump_resolution = min(k_tol, phi_tol) / abs(beta2) / (4 * pi ** 2 * slot_width)
+                f_pump_resolution = min(k_tol, phi_tol) / abs(cut_beta2) / (4 * pi ** 2 * max_slot_width)
-                if dn == 0:  # SPM
+                if cut_index == pump_index:  # SPM
-                    ggg = g_cut ** 3
+                    psi_cut_central_frequency[i, pump_index] = \
-                    g_nli_computed += \
+                        NliSolver._generalized_psi(cut_frequency, cut_frequency, cut_baud_rate, cut_roll_off,
-                        spm_weight * ggg * NliSolver._generalized_psi(f_eval, cut_carrier, pump_carrier,
+                                                   pump_frequency, pump_baud_rate, pump_roll_off, f_cut_resolution,
-                                                                      f_cut_resolution, f_pump_resolution,
+                                                   f_pump_resolution, srs, pump_alpha, cut_beta2, cut_beta3,
-                                                                      srs, alpha[j], beta2, beta3, f_ref_beta)
+                                                   cut_frequency)
                 else:  # XPM
-                    g_pump = (pump_carrier.power.signal / pump_carrier.baud_rate)
+                    frequency_offset_threshold = NliSolver._frequency_offset_threshold(cut_beta2, pump_baud_rate)
-                    ggg = g_cut * g_pump ** 2
-                    frequency_offset_threshold = NliSolver._frequency_offset_threshold(beta2, pump_carrier.baud_rate)
                     if abs(delta_f) <= frequency_offset_threshold:
-                        g_nli_computed += \
+                        psi_cut_central_frequency[i, pump_index] = \
-                            xpm_weight * ggg * NliSolver._generalized_psi(f_eval, cut_carrier, pump_carrier,
+                            NliSolver._generalized_psi(cut_frequency, cut_frequency, cut_baud_rate, cut_roll_off,
-                                                                          f_cut_resolution, f_pump_resolution,
+                                                       pump_frequency, pump_baud_rate, pump_roll_off, f_cut_resolution,
-                                                                          srs, alpha[j], beta2, beta3, f_ref_beta)
+                                                       f_pump_resolution, srs, pump_alpha, cut_beta2, cut_beta3,
+                                                       cut_frequency)
                     else:
-                        g_nli_computed += \
+                        psi_cut_central_frequency[i, pump_index] = \
-                            xpm_weight * ggg * NliSolver._fast_generalized_psi(f_eval, cut_carrier, pump_carrier,
+                            NliSolver._fast_generalized_psi(cut_frequency, cut_frequency, cut_baud_rate, cut_roll_off,
-                                                                               f_cut_resolution, srs, alpha[j], beta2,
+                                                            pump_frequency, pump_baud_rate, pump_roll_off,
-                                                                               beta3, f_ref_beta)
+                                                            f_cut_resolution, srs, pump_alpha, cut_beta2, cut_beta3,
-            f_nli = append(f_nli, cut_carrier.frequency)
+                                                            cut_frequency)
-            g_nli = append(g_nli, g_nli_computed)
+
-        g_nli = interp(spectral_info.frequency, f_nli, g_nli)
+        cut_baud_rate = outer(baud_rate[cut_indices], ones(nch))
-        nli = spectral_info.baud_rate * g_nli  # Local white noise
+        pump_baud_rate = outer(ones(cut_indices.size), baud_rate)
-        return nli
+
+        eta_cut_central_frequency = \
+            gamma ** 2 * weight * psi_cut_central_frequency / (cut_baud_rate * pump_baud_rate ** 2)
+        eta = cut_baud_rate * eta_cut_central_frequency  # Local white noise
+        return eta
 
     @staticmethod
-    def _fast_generalized_psi(f_eval, cut_carrier, pump_carrier, f_cut_resolution, srs, alpha, beta2, beta3,
+    def _fast_generalized_psi(f_eval, cut_frequency, cut_baud_rate, cut_roll_off, pump_frequency, pump_baud_rate,
-                              f_ref_beta):
+                              pump_roll_off, f_cut_resolution, srs, alpha, beta2, beta3, f_ref_beta):
         """Computes the generalized psi function similarly to the one used in the GN model."""
         z = srs.z
         rho_norm = srs.rho * exp(outer(alpha / 2, z))
-        rho_pump = interp1d(srs.frequency, rho_norm, axis=0)(pump_carrier.frequency)
+        rho_pump = interp1d(srs.frequency, rho_norm, axis=0)(pump_frequency)
 
-        f1_array = array([pump_carrier.frequency - (pump_carrier.baud_rate * (1 + pump_carrier.roll_off) / 2),
+        f1_array = array([pump_frequency - (pump_baud_rate * (1 + pump_roll_off) / 2),
-                          pump_carrier.frequency + (pump_carrier.baud_rate * (1 + pump_carrier.roll_off) / 2)])
+                          pump_frequency + (pump_baud_rate * (1 + pump_roll_off) / 2)])
-        f2_array = arange(cut_carrier.frequency,
+        f2_array = arange(cut_frequency, cut_frequency + (cut_baud_rate * (1 + cut_roll_off) / 2),
-                          cut_carrier.frequency + (cut_carrier.baud_rate * (1 + cut_carrier.roll_off) / 2),
                           f_cut_resolution)  # Only positive f2 is used since integrand_f2 is symmetric
 
-        integrand_f1 = zeros(len(f1_array))
+        integrand_f1 = zeros(f1_array.size)
         for f1_index, f1 in enumerate(f1_array):
-            delta_beta = 4 * pi ** 2 * (f1 - f_eval) * (f2_array - f_eval) * \
+            delta_beta = 4 * pi ** 2 * (f1 - f_eval) * (f2_array - f_eval) * (
-                (beta2 + pi * beta3 * (f1 + f2_array - 2 * f_ref_beta))
+                        beta2 + pi * beta3 * (f1 + f2_array - 2 * f_ref_beta))
             integrand_f2 = NliSolver._generalized_rho_nli(delta_beta, rho_pump, z, alpha)
             integrand_f1[f1_index] = 2 * trapz(integrand_f2, f2_array)  # 2x since integrand_f2 is symmetric in f2
-        generalized_psi = 0.5 * sum(integrand_f1) * pump_carrier.baud_rate
+        generalized_psi = 0.5 * sum(integrand_f1) * pump_baud_rate
         return generalized_psi
 
     @staticmethod
-    def _generalized_psi(f_eval, cut_carrier, pump_carrier, f_cut_resolution, f_pump_resolution, srs, alpha, beta2,
+    def _generalized_psi(f_eval, cut_frequency, cut_baud_rate, cut_roll_off, pump_frequency, pump_baud_rate,
-                         beta3, f_ref_beta):
+                         pump_roll_off, f_cut_resolution, f_pump_resolution, srs, alpha, beta2, beta3, f_ref_beta):
         """Computes the generalized psi function similarly to the one used in the GN model."""
         z = srs.z
         rho_norm = srs.rho * exp(outer(alpha / 2, z))
-        rho_pump = interp1d(srs.frequency, rho_norm, axis=0)(pump_carrier.frequency)
+        rho_pump = interp1d(srs.frequency, rho_norm, axis=0)(pump_frequency)
 
-        f1_array = arange(pump_carrier.frequency - (pump_carrier.baud_rate * (1 + pump_carrier.roll_off) / 2),
+        f1_array = arange(pump_frequency - (pump_baud_rate * (1 + pump_roll_off) / 2),
-                          pump_carrier.frequency + (pump_carrier.baud_rate * (1 + pump_carrier.roll_off) / 2),
+                          pump_frequency + (pump_baud_rate * (1 + pump_roll_off) / 2),
                           f_pump_resolution)
-        f2_array = arange(cut_carrier.frequency - (cut_carrier.baud_rate * (1 + cut_carrier.roll_off) / 2),
+        f2_array = arange(cut_frequency - (cut_baud_rate * (1 + cut_roll_off) / 2),
-                          cut_carrier.frequency + (cut_carrier.baud_rate * (1 + cut_carrier.roll_off) / 2),
+                          cut_frequency + (cut_baud_rate * (1 + cut_roll_off) / 2),
                           f_cut_resolution)
-        psd1 = raised_cosine_comb(f1_array, pump_carrier) * (pump_carrier.baud_rate / pump_carrier.power.signal)
+        rc1 = raised_cosine(f1_array, pump_frequency, pump_baud_rate, pump_roll_off)
 
-        integrand_f1 = zeros(len(f1_array))
+        integrand_f1 = zeros(f1_array.size)
-        for f1_index, (f1, psd1_sample) in enumerate(zip(f1_array, psd1)):
+        for i in range(f1_array.size):
-            f3_array = f1 + f2_array - f_eval
+            f3_array = f1_array[i] + f2_array - f_eval
-            psd2 = raised_cosine_comb(f2_array, cut_carrier) * (cut_carrier.baud_rate / cut_carrier.power.signal)
+            rc2 = raised_cosine(f2_array, cut_frequency, cut_baud_rate, cut_roll_off)
-            psd3 = raised_cosine_comb(f3_array, pump_carrier) * (pump_carrier.baud_rate / pump_carrier.power.signal)
+            rc3 = raised_cosine(f3_array, pump_frequency, pump_baud_rate, pump_roll_off)
-            ggg = psd1_sample * psd2 * psd3
+            delta_beta = 4 * pi ** 2 * (f1_array[i] - f_eval) * (f2_array - f_eval) * (
-            delta_beta = 4 * pi**2 * (f1 - f_eval) * (f2_array - f_eval) * \
+                        beta2 + pi * beta3 * (f1_array[i] + f2_array - 2 * f_ref_beta))
-                (beta2 + pi * beta3 * (f1 + f2_array - 2 * f_ref_beta))
+            integrand_f2 = rc1[i] * rc2 * rc3 * NliSolver._generalized_rho_nli(delta_beta, rho_pump, z, alpha)
-            integrand_f2 = ggg * NliSolver._generalized_rho_nli(delta_beta, rho_pump, z, alpha)
+            integrand_f1[i] = trapz(integrand_f2, f2_array)
-            integrand_f1[f1_index] = trapz(integrand_f2, f2_array)
         generalized_psi = trapz(integrand_f1, f1_array)
         return generalized_psi
 

gnpy/core/utils.py

@@ -11,6 +11,7 @@ This module contains utility functions that are used with gnpy.
 from csv import writer
 from numpy import pi, cos, sqrt, log10, linspace, zeros, shape, where, logical_and, mean
 from scipy import constants
+from copy import deepcopy
 
 from gnpy.core.exceptions import ConfigurationError
 
@@ -247,8 +248,7 @@ def per_label_average(values, labels):
 
 
 def pretty_summary_print(summary):
-    """Build a prettty string that shows the summary dict values per label with 2 digits
+    """Build a prettty string that shows the summary dict values per label with 2 digits"""
-    """
     if len(summary) == 1:
         return f'{list(summary.values())[0]:.2f}'
     text = ', '.join([f'{label}: {value:.2f}' for label, value in summary.items()])
@@ -274,9 +274,9 @@ def deltawl2deltaf(delta_wl, wavelength):
 
 
 def deltaf2deltawl(delta_f, frequency):
-    """ deltawl2deltaf(delta_f, frequency):
+    """convert delta frequency to delta wavelength
-        converts delta frequency to delta wavelength
+
-        units for delta_wl and wavelength must be same
+    Units for delta_wl and wavelength must be same.
 
     :param delta_f: delta frequency in same units as frequency
     :param frequency: frequency BW is relevant for
@@ -291,8 +291,7 @@ def deltaf2deltawl(delta_f, frequency):
 
 
 def rrc(ffs, baud_rate, alpha):
-    """ rrc(ffs, baud_rate, alpha): computes the root-raised cosine filter
+    """compute the root-raised cosine filter function
-    function.
 
     :param ffs: A numpy array of frequencies
     :param baud_rate: The Baud Rate of the System
@@ -318,7 +317,7 @@ def rrc(ffs, baud_rate, alpha):
 
 
 def merge_amplifier_restrictions(dict1, dict2):
-    """Updates contents of dicts recursively
+    """Update contents of dicts recursively
 
     >>> d1 = {'params': {'restrictions': {'preamp_variety_list': [], 'booster_variety_list': []}}}
     >>> d2 = {'params': {'target_pch_out_db': -20}}
@@ -413,3 +412,43 @@ def convert_length(value, units):
         return value * 1e3
     else:
         raise ConfigurationError(f'Cannot convert length in "{units}" into meters')
+
+
+def replace_none(dictionary):
+    """ Replaces None with inf values in a frequency slots dict
+
+    >>> replace_none({'N': 3, 'M': None})
+    {'N': 3, 'M': inf}
+
+    """
+    for key, val in dictionary.items():
+        if val is None:
+            dictionary[key] = float('inf')
+        if val == float('inf'):
+            dictionary[key] = None
+    return dictionary
+
+
+def order_slots(slots):
+    """ Order frequency slots from larger slots to smaller ones up to None
+
+    >>> l = [{'N': 3, 'M': None}, {'N': 2, 'M': 1}, {'N': None, 'M': None},{'N': 7, 'M': 2},{'N': None, 'M': 1} , {'N': None, 'M': 0}]
+    >>> order_slots(l)
+    ([7, 2, None, None, 3, None], [2, 1, 1, 0, None, None], [3, 1, 4, 5, 0, 2])
+    """
+    slots_list = deepcopy(slots)
+    slots_list = [replace_none(e) for e in slots_list]
+    for i, e in enumerate(slots_list):
+        e['i'] = i
+    slots_list = sorted(slots_list, key=lambda x: (-x['M'], x['N']) if x['M'] != float('inf') else (x['M'], x['N']))
+    slots_list = [replace_none(e) for e in slots_list]
+    return [e['N'] for e in slots_list], [e['M'] for e in slots_list], [e['i'] for e in slots_list]
+
+
+def restore_order(elements, order):
+    """ Use order to re-order the element of the list, and ignore None values
+
+    >>> restore_order([7, 2, None, None, 3, None], [3, 1, 4, 5, 0, 2])
+    [3, 2, 7]
+    """
+    return [elements[i[0]] for i in sorted(enumerate(order), key=lambda x:x[1]) if elements[i[0]] is not None]

gnpy/tools/__init__.py

@@ -1,5 +1,5 @@
-'''
+"""
 Processing of data via :py:mod:`.json_io`.
 Utilities for Excel conversion in :py:mod:`.convert` and :py:mod:`.service_sheet`.
 Example code in :py:mod:`.cli_examples` and :py:mod:`.plots`.
-'''
+"""

gnpy/tools/cli_examples.py

@@ -1,12 +1,12 @@
 #!/usr/bin/env python3
 # -*- coding: utf-8 -*-
 
-'''
+"""
 gnpy.tools.cli_examples
 =======================
 
 Common code for CLI examples
-'''
+"""
 
 import argparse
 import logging
@@ -48,7 +48,7 @@ def show_example_data_dir():
 
 
 def load_common_data(equipment_filename, topology_filename, simulation_filename, save_raw_network_filename):
-    '''Load common configuration from JSON files'''
+    """Load common configuration from JSON files"""
 
     try:
         equipment = load_equipment(equipment_filename)
@@ -85,7 +85,7 @@ def load_common_data(equipment_filename, topology_filename, simulation_filename,
 
 
 def _setup_logging(args):
-    logging.basicConfig(level={2: logging.DEBUG, 1: logging.INFO, 0: logging.CRITICAL}.get(args.verbose, logging.DEBUG))
+    logging.basicConfig(level={2: logging.DEBUG, 1: logging.INFO, 0: logging.WARNING}.get(args.verbose, logging.DEBUG))
 
 
 def _add_common_options(parser: argparse.ArgumentParser, network_default: Path):
@@ -323,7 +323,7 @@ def path_requests_run(args=None):
     args = parser.parse_args(args if args is not None else sys.argv[1:])
     _setup_logging(args)
 
-    _logger.info(f'Computing path requests {args.service_filename} into JSON format')
+    _logger.info(f'Computing path requests {args.service_filename.name} into JSON format')
 
     (equipment, network) = load_common_data(args.equipment, args.topology, args.sim_params, args.save_network_before_autodesign)
 
@@ -331,7 +331,6 @@ def path_requests_run(args=None):
     # TODO power density: db2linp(ower_dbm": 0)/power_dbm": 0 * nb channels as defined by
     # spacing, f_min and f_max
     p_db = equipment['SI']['default'].power_dbm
-
     p_total_db = p_db + lin2db(automatic_nch(equipment['SI']['default'].f_min,
                                              equipment['SI']['default'].f_max, equipment['SI']['default'].spacing))
     try:

gnpy/tools/convert.py

@@ -21,18 +21,22 @@ the "east" information so that it is possible to input undirected data.
 """
 
 from xlrd import open_workbook
+from logging import getLogger
 from argparse import ArgumentParser
 from collections import namedtuple, Counter, defaultdict
 from itertools import chain
 from json import dumps
 from pathlib import Path
 from copy import copy
-from gnpy.core import ansi_escapes
+
 from gnpy.core.utils import silent_remove
 from gnpy.core.exceptions import NetworkTopologyError
 from gnpy.core.elements import Edfa, Fused, Fiber
 
 
+_logger = getLogger(__name__)
+
+
 def all_rows(sh, start=0):
     return (sh.row(x) for x in range(start, sh.nrows))
 
@@ -183,18 +187,18 @@ def parse_headers(my_sheet, input_headers_dict, headers, start_line, slice_in):
             slice_out = read_slice(my_sheet, start_line + iteration, slice_in, h0)
             iteration += 1
         if slice_out == (-1, -1):
+            msg = f'missing header {h0}'
             if h0 in ('east', 'Node A', 'Node Z', 'City'):
-                print(f'{ansi_escapes.red}CRITICAL{ansi_escapes.reset}: missing _{h0}_ header: EXECUTION ENDS')
+                raise NetworkTopologyError(msg)
-                raise NetworkTopologyError(f'Missing _{h0}_ header')
             else:
-                print(f'missing header {h0}')
+                _logger.warning(msg)
         elif not isinstance(input_headers_dict[h0], dict):
             headers[slice_out[0]] = input_headers_dict[h0]
         else:
             headers = parse_headers(my_sheet, input_headers_dict[h0], headers, start_line + 1, slice_out)
     if headers == {}:
-        print(f'{ansi_escapes.red}CRITICAL ERROR{ansi_escapes.reset}: could not find any header to read _ ABORT')
+        msg = 'CRITICAL ERROR: could not find any header to read _ ABORT'
-        raise NetworkTopologyError('Could not find any header to read')
+        raise NetworkTopologyError(msg)
     return headers
 
 
@@ -219,40 +223,76 @@ def sanity_check(nodes, links, nodes_by_city, links_by_city, eqpts_by_city):
     for l1 in links:
         for l2 in links:
             if l1 is not l2 and l1 == l2 and l2 not in duplicate_links:
-                print(f'\nWARNING\n \
+                _logger.warning(f'\nWARNING\n \
                     link {l1.from_city}-{l1.to_city} is duplicate \
                     \nthe 1st duplicate link will be removed but you should check Links sheet input')
                 duplicate_links.append(l1)
-    for l in duplicate_links:
+    if duplicate_links:
-        links.remove(l)
+        msg = 'XLS error: ' \
-        links_by_city[l.from_city].remove(l)
+              + f'links {_format_items([(d.from_city, d.to_city) for d in duplicate_links])} are duplicate'
-        links_by_city[l.to_city].remove(l)
+        raise NetworkTopologyError(msg)
-
     unreferenced_nodes = [n for n in nodes_by_city if n not in links_by_city]
     if unreferenced_nodes:
-        raise NetworkTopologyError(f'{ansi_escapes.red}XLS error:{ansi_escapes.reset} The following nodes are not '
+        msg = 'XLS error: The following nodes are not ' \
-                                   f'referenced from the {ansi_escapes.cyan}Links{ansi_escapes.reset} sheet. '
+              + 'referenced from the Links sheet. ' \
-                                   f'If unused, remove them from the {ansi_escapes.cyan}Nodes{ansi_escapes.reset} '
+              + 'If unused, remove them from the Nodes sheet:\n' \
-                                   f'sheet:\n'
+              + _format_items(unreferenced_nodes)
-                                   + _format_items(unreferenced_nodes))
+        raise NetworkTopologyError(msg)
     # no need to check "Links" for invalid nodes because that's already in parse_excel()
     wrong_eqpt_from = [n for n in eqpts_by_city if n not in nodes_by_city]
     wrong_eqpt_to = [n.to_city for destinations in eqpts_by_city.values()
                      for n in destinations if n.to_city not in nodes_by_city]
     wrong_eqpt = wrong_eqpt_from + wrong_eqpt_to
     if wrong_eqpt:
-        raise NetworkTopologyError(f'{ansi_escapes.red}XLS error:{ansi_escapes.reset} '
+        msg = 'XLS error: ' \
-                                   f'The {ansi_escapes.cyan}Eqpt{ansi_escapes.reset} sheet refers to nodes that '
+              + 'The Eqpt sheet refers to nodes that ' \
-                                   f'are not defined in the {ansi_escapes.cyan}Nodes{ansi_escapes.reset} sheet:\n'
+              + 'are not defined in the Nodes sheet:\n'\
-                                   + _format_items(wrong_eqpt))
+              + _format_items(wrong_eqpt)
+        raise NetworkTopologyError(msg)
+    # Now check links that are not listed in Links sheet, and duplicates
+    bad_eqpt = []
+    possible_links = [f'{e.from_city}|{e.to_city}' for e in links] + [f'{e.to_city}|{e.from_city}' for e in links]
+    possible_eqpt = []
+    duplicate_eqpt = []
+    duplicate_ila = []
+    for city, eqpts in eqpts_by_city.items():
+        for eqpt in eqpts:
+            # Check that each node_A-node_Z exists in links
+            nodea_nodez = f'{eqpt.from_city}|{eqpt.to_city}'
+            nodez_nodea = f'{eqpt.to_city}|{eqpt.from_city}'
+            if nodea_nodez not in possible_links \
+                    or nodez_nodea not in possible_links:
+                bad_eqpt.append([eqpt.from_city, eqpt.to_city])
+            else:
+                # Check that there are no duplicate lines in the Eqpt sheet
+                if nodea_nodez in possible_eqpt:
+                    duplicate_eqpt.append([eqpt.from_city, eqpt.to_city])
+                else:
+                    possible_eqpt.append(nodea_nodez)
+            # check that there are no two lines defining an ILA with different directions
+        if nodes_by_city[city].node_type == 'ILA' and len(eqpts) > 1:
+            duplicate_ila.append(city)
+    if bad_eqpt:
+        msg = 'XLS error: ' \
+              + 'The Eqpt sheet references links that ' \
+              + 'are not defined in the Links sheet:\n' \
+              + _format_items(f'{item[0]} -> {item[1]}' for item in bad_eqpt)
+        raise NetworkTopologyError(msg)
+    if duplicate_eqpt:
+        msg = 'XLS error: Duplicate lines in Eqpt sheet:' \
+              + _format_items(f'{item[0]} -> {item[1]}' for item in duplicate_eqpt)
+        raise NetworkTopologyError(msg)
+    if duplicate_ila:
+        msg = 'XLS error: Duplicate ILA eqpt definition in Eqpt sheet:' \
+              + _format_items(duplicate_ila)
+        raise NetworkTopologyError(msg)
 
     for city, link in links_by_city.items():
         if nodes_by_city[city].node_type.lower() == 'ila' and len(link) != 2:
             # wrong input: ILA sites can only be Degree 2
             # => correct to make it a ROADM and remove entry in links_by_city
-            # TODO: put in log rather than print
+            _logger.warning(f'invalid node type ({nodes_by_city[city].node_type}) '
-            print(f'invalid node type ({nodes_by_city[city].node_type})\
+                            + f'specified in {city}, replaced by ROADM')
-                  specified in {city}, replaced by ROADM')
             nodes_by_city[city].node_type = 'ROADM'
             for n in nodes:
                 if n.city == city:
@@ -642,17 +682,19 @@ def parse_excel(input_filename):
     # sanity check
     all_cities = Counter(n.city for n in nodes)
     if len(all_cities) != len(nodes):
-        raise ValueError(f'Duplicate city: {all_cities}')
+        msg = f'Duplicate city: {all_cities}'
+        raise NetworkTopologyError(msg)
     bad_links = []
     for lnk in links:
         if lnk.from_city not in all_cities or lnk.to_city not in all_cities:
             bad_links.append([lnk.from_city, lnk.to_city])
 
     if bad_links:
-        raise NetworkTopologyError(f'{ansi_escapes.red}XLS error:{ansi_escapes.reset} '
+        msg = 'XLS error: ' \
-                                   f'The {ansi_escapes.cyan}Links{ansi_escapes.reset} sheet references nodes that '
+              + 'The Links sheet references nodes that ' \
-                                   f'are not defined in the {ansi_escapes.cyan}Nodes{ansi_escapes.reset} sheet:\n'
+              + 'are not defined in the Nodes sheet:\n' \
-                                   + _format_items(f'{item[0]} -> {item[1]}' for item in bad_links))
+              + _format_items(f'{item[0]} -> {item[1]}' for item in bad_links)
+        raise NetworkTopologyError(msg)
 
     return nodes, links, eqpts, roadms
 

gnpy/tools/json_io.py

@@ -1,12 +1,12 @@
 #!/usr/bin/env python3
 # -*- coding: utf-8 -*-
 
-'''
+"""
 gnpy.tools.json_io
 ==================
 
 Loading and saving data from JSON files in GNPy's internal data format
-'''
+"""
 
 from networkx import DiGraph
 from logging import getLogger
@@ -15,13 +15,15 @@ import json
 from collections import namedtuple
 from numpy import arange
 
-from gnpy.core import ansi_escapes, elements
+from gnpy.core import elements
 from gnpy.core.equipment import trx_mode_params
 from gnpy.core.exceptions import ConfigurationError, EquipmentConfigError, NetworkTopologyError, ServiceError
 from gnpy.core.science_utils import estimate_nf_model
 from gnpy.core.info import Carrier
 from gnpy.core.utils import automatic_nch, automatic_fmax, merge_amplifier_restrictions
+from gnpy.core.parameters import DEFAULT_RAMAN_COEFFICIENT
 from gnpy.topology.request import PathRequest, Disjunction, compute_spectrum_slot_vs_bandwidth
+from gnpy.topology.spectrum_assignment import mvalue_to_slots
 from gnpy.tools.convert import xls_to_json_data
 from gnpy.tools.service_sheet import read_service_sheet
 
@@ -50,10 +52,9 @@ class _JsonThing:
         for k, v in default_values.items():
             setattr(self, k, clean_kwargs.get(k, v))
             if k not in clean_kwargs and name != 'Amp':
-                print(ansi_escapes.red +
+                msg = f'\n WARNING missing {k} attribute in eqpt_config.json[{name}]' \
-                      f'\n WARNING missing {k} attribute in eqpt_config.json[{name}]' +
+                    + f'\n default value is {k} = {v}'
-                      f'\n default value is {k} = {v}' +
+                _logger.warning(msg)
-                      ansi_escapes.reset)
 
 
 class SI(_JsonThing):
@@ -109,11 +110,12 @@ class Roadm(_JsonThing):
         allowed_equalisations = ['target_pch_out_db', 'target_psd_out_mWperGHz', 'target_out_mWperSlotWidth']
         requested_eq_mask = [eq in kwargs for eq in allowed_equalisations]
         if sum(requested_eq_mask) > 1:
-            raise EquipmentConfigError('Only one equalization type should be set in ROADM, found: '
+            msg = 'Only one equalization type should be set in ROADM, found: ' \
-                                       + ', '.join(eq for eq in allowed_equalisations if eq in kwargs))
+                  + ', '.join(eq for eq in allowed_equalisations if eq in kwargs)
+            raise EquipmentConfigError(msg)
         if not any(requested_eq_mask):
-            raise EquipmentConfigError('No equalization type set in ROADM')
+            msg = 'No equalization type set in ROADM'
-
+            raise EquipmentConfigError(msg)
         for key in allowed_equalisations:
             if key in kwargs:
                 setattr(self, key, kwargs[key])
@@ -133,6 +135,7 @@ class Transceiver(_JsonThing):
         for mode_params in self.mode:
             penalties = mode_params.get('penalties')
             mode_params['penalties'] = {}
+            mode_params['equalization_offset_db'] = mode_params.get('equalization_offset_db', 0)
             if not penalties:
                 continue
             for impairment in ('chromatic_dispersion', 'pmd', 'pdl'):
@@ -162,9 +165,14 @@ class Fiber(_JsonThing):
 
     def __init__(self, **kwargs):
         self.update_attr(self.default_values, kwargs, self.__class__.__name__)
-        for optional in ['gamma', 'raman_efficiency']:
+        if 'gamma' in kwargs:
-            if optional in kwargs:
+            setattr(self, 'gamma', kwargs['gamma'])
-                setattr(self, optional, kwargs[optional])
+        if 'raman_efficiency' in kwargs:
+            raman_coefficient = kwargs['raman_efficiency']
+            cr = raman_coefficient.pop('cr')
+            raman_coefficient['g0'] = cr
+            raman_coefficient['reference_frequency'] = DEFAULT_RAMAN_COEFFICIENT['reference_frequency']
+            setattr(self, 'raman_coefficient', raman_coefficient)
 
 
 class RamanFiber(Fiber):
@@ -182,15 +190,24 @@ class Amp(_JsonThing):
         'p_max': None,
         'nf_model': None,
         'dual_stage_model': None,
+        'preamp_variety': None,
+        'booster_variety': None,
+        'nf_min': None,
+        'nf_max': None,
+        'nf_coef': None,
+        'nf0': None,
         'nf_fit_coeff': None,
-        'nf_ripple': None,
+        'nf_ripple': 0,
         'dgt': None,
-        'gain_ripple': None,
+        'gain_ripple': 0,
+        'tilt_ripple': 0,
+        'f_ripple_ref': None,
         'out_voa_auto': False,
         'allowed_for_design': False,
         'raman': False,
         'pmd': 0,
-        'pdl': 0
+        'pdl': 0,
+        'advance_configurations_from_json': None
     }
 
     def __init__(self, **kwargs):
@@ -209,7 +226,8 @@ class Amp(_JsonThing):
             try:
                 nf0 = kwargs.pop('nf0')
             except KeyError:  # nf0 is expected for a fixed gain amp
-                raise EquipmentConfigError(f'missing nf0 value input for amplifier: {type_variety} in equipment config')
+                msg = f'missing nf0 value input for amplifier: {type_variety} in equipment config'
+                raise EquipmentConfigError(msg)
             for k in ('nf_min', 'nf_max'):
                 try:
                     del kwargs[k]
@@ -224,7 +242,8 @@ class Amp(_JsonThing):
                 nf_min = kwargs.pop('nf_min')
                 nf_max = kwargs.pop('nf_max')
             except KeyError:
-                raise EquipmentConfigError(f'missing nf_min or nf_max value input for amplifier: {type_variety} in equipment config')
+                msg = f'missing nf_min or nf_max value input for amplifier: {type_variety} in equipment config'
+                raise EquipmentConfigError(msg)
             try:  # remove all remaining nf inputs
                 del kwargs['nf0']
             except KeyError:
@@ -246,7 +265,8 @@ class Amp(_JsonThing):
                 preamp_variety = kwargs.pop('preamp_variety')
                 booster_variety = kwargs.pop('booster_variety')
             except KeyError:
-                raise EquipmentConfigError(f'missing preamp/booster variety input for amplifier: {type_variety} in equipment config')
+                msg = f'missing preamp/booster variety input for amplifier: {type_variety} in equipment config'
+                raise EquipmentConfigError(msg)
             dual_stage_def = Model_dual_stage(preamp_variety, booster_variety)
         else:
             raise EquipmentConfigError(f'Edfa type_def {type_def} does not exist')
@@ -368,9 +388,7 @@ def _update_dual_stage(equipment):
 
 
 def _roadm_restrictions_sanity_check(equipment):
-    """ verifies that booster and preamp restrictions specified in roadm equipment are listed
+    """verifies that booster and preamp restrictions specified in roadm equipment are listed in the edfa."""
-    in the edfa.
-    """
     restrictions = equipment['Roadm']['default'].restrictions['booster_variety_list'] + \
         equipment['Roadm']['default'].restrictions['preamp_variety_list']
     for amp_name in restrictions:
@@ -440,11 +458,11 @@ def load_network(filename, equipment):
 
 
 def save_network(network: DiGraph, filename: str):
-    '''Dump the network into a JSON file
+    """Dump the network into a JSON file
 
     :param network: network to work on
     :param filename: file to write to
-    '''
+    """
     save_json(network_to_json(network), filename)
 
 
@@ -486,13 +504,20 @@ def network_from_json(json_data, equipment):
                 # if more than one equalization was defined in element config, then raise an error
                 extra_params = merge_equalization(temp, extra_params)
                 if not extra_params:
-                    raise ConfigurationError(f'ROADM {el_config["uid"]}: invalid equalization settings')
+                    msg = f'ROADM {el_config["uid"]}: invalid equalization settings'
+                    raise ConfigurationError(msg)
             temp = merge_amplifier_restrictions(temp, extra_params)
             el_config['params'] = temp
             el_config['type_variety'] = variety
-        elif (typ in ['Fiber', 'RamanFiber']) or (typ == 'Edfa' and variety not in ['default', '']):
+        elif (typ in ['Fiber', 'RamanFiber']):
             raise ConfigurationError(f'The {typ} of variety type {variety} was not recognized:'
                                      '\nplease check it is properly defined in the eqpt_config json file')
+        elif typ == 'Edfa':
+            if variety in ['default', '']:
+                el_config['params'] = Amp.default_values
+            else:
+                raise ConfigurationError(f'The Edfa of variety type {variety} was not recognized:'
+                                         '\nplease check it is properly defined in the eqpt_config json file')
         el = cls(**el_config)
         g.add_node(el)
 
@@ -507,7 +532,8 @@ def network_from_json(json_data, equipment):
                 edge_length = 0.01
             g.add_edge(nodes[from_node], nodes[to_node], weight=edge_length)
         except KeyError:
-            raise NetworkTopologyError(f'can not find {from_node} or {to_node} defined in {cx}')
+            msg = f'can not find {from_node} or {to_node} defined in {cx}'
+            raise NetworkTopologyError(msg)
 
     return g
 
@@ -538,15 +564,13 @@ def save_json(obj, filename):
 
 
 def load_requests(filename, eqpt, bidir, network, network_filename):
-    """ loads the requests from a json or an excel file into a data string
+    """loads the requests from a json or an excel file into a data string"""
-    """
     if filename.suffix.lower() in ('.xls', '.xlsx'):
         _logger.info('Automatically converting requests from XLS to JSON')
         try:
             return convert_service_sheet(filename, eqpt, network, network_filename=network_filename, bidir=bidir)
         except ServiceError as this_e:
-            print(f'{ansi_escapes.red}Service error:{ansi_escapes.reset} {this_e}')
+            raise ServiceError(f'Service error: {this_e}')
-            exit(1)
     else:
         return load_json(filename)
 
@@ -563,6 +587,9 @@ def requests_from_json(json_data, equipment):
         params['bidir'] = req['bidirectional']
         params['destination'] = req['destination']
         params['trx_type'] = req['path-constraints']['te-bandwidth']['trx_type']
+        if params['trx_type'] is None:
+            msg = f'Request {req["request-id"]} has no transceiver type defined.'
+            raise ServiceError(msg)
         params['trx_mode'] = req['path-constraints']['te-bandwidth'].get('trx_mode', None)
         params['format'] = params['trx_mode']
         params['spacing'] = req['path-constraints']['te-bandwidth']['spacing']
@@ -575,9 +602,12 @@ def requests_from_json(json_data, equipment):
         # recover trx physical param (baudrate, ...) from type and mode
         # in trx_mode_params optical power is read from equipment['SI']['default'] and
         # nb_channel is computed based on min max frequency and spacing
+        try:
             trx_params = trx_mode_params(equipment, params['trx_type'], params['trx_mode'], True)
+        except EquipmentConfigError as e:
+            msg = f'Equipment Config error in {req["request-id"]}: {e}'
+            raise EquipmentConfigError(msg) from e
         params.update(trx_params)
-        # print(trx_params['min_spacing'])
         # optical power might be set differently in the request. if it is indicated then the
         # params['power'] is updated
         try:
@@ -598,7 +628,8 @@ def requests_from_json(json_data, equipment):
                 params['nb_channel'] = automatic_nch(f_min, f_max_from_si, params['spacing'])
         except KeyError:
             params['nb_channel'] = automatic_nch(f_min, f_max_from_si, params['spacing'])
-        params['effective_freq_slot'] = req['path-constraints']['te-bandwidth'].get('effective-freq-slot', [None])[0]
+        params['effective_freq_slot'] = \
+            req['path-constraints']['te-bandwidth'].get('effective-freq-slot', [{'N': None, 'M': None}])
         try:
             params['path_bandwidth'] = req['path-constraints']['te-bandwidth']['path_bandwidth']
         except KeyError:
@@ -612,39 +643,61 @@ def _check_one_request(params, f_max_from_si):
     """Checks that the requested parameters are consistant (spacing vs nb channel vs transponder mode...)"""
     f_min = params['f_min']
     f_max = params['f_max']
-    max_recommanded_nb_channels = automatic_nch(f_min, f_max, params['spacing'])
+    max_recommanded_nb_channels = automatic_nch(f_min, f_max_from_si, params['spacing'])
     if params['baud_rate'] is not None:
         # implicitly means that a mode is defined with min_spacing
         if params['min_spacing'] > params['spacing']:
             msg = f'Request {params["request_id"]} has spacing below transponder ' +\
                   f'{params["trx_type"]} {params["trx_mode"]} min spacing value ' +\
                   f'{params["min_spacing"]*1e-9}GHz.\nComputation stopped'
-            print(msg)
-            _logger.critical(msg)
             raise ServiceError(msg)
         if f_max > f_max_from_si:
-            msg = f'''Requested channel number {params["nb_channel"]}, baud rate {params["baud_rate"]} GHz
+            msg = f'Requested channel number {params["nb_channel"]}, baud rate {params["baud_rate"] * 1e-9} GHz' \
-            and requested spacing {params["spacing"]*1e-9}GHz is not consistent with frequency range
+                  + f' and requested spacing {params["spacing"]*1e-9}GHz is not consistent with frequency range' \
-            {f_min*1e-12} THz, {f_max*1e-12} THz, min recommanded spacing {params["min_spacing"]*1e-9}GHz.
+                  + f' {f_min*1e-12} THz, {f_max_from_si*1e-12} THz.' \
-            max recommanded nb of channels is {max_recommanded_nb_channels}.'''
+                  + f' Max recommanded nb of channels is {max_recommanded_nb_channels}.'
-            _logger.critical(msg)
             raise ServiceError(msg)
     # Transponder mode already selected; will it fit to the requested bandwidth?
-    if params['trx_mode'] is not None and params['effective_freq_slot'] is not None \
+    if params['trx_mode'] is not None and params['effective_freq_slot'] is not None:
-            and params['effective_freq_slot']['M'] is not None:
+        required_nb_of_channels, requested_m = compute_spectrum_slot_vs_bandwidth(params['path_bandwidth'],
-        _, requested_m = compute_spectrum_slot_vs_bandwidth(params['path_bandwidth'],
                                                                                   params['spacing'],
                                                                                   params['bit_rate'])
-        # params['effective_freq_slot']['M'] value should be bigger than the computed requested_m (simple estimate)
+        _, per_channel_m = compute_spectrum_slot_vs_bandwidth(params['bit_rate'],
+                                                              params['spacing'],
+                                                              params['bit_rate'])
+        # each M should fit one or more channels if it is not None
+        # spectrum slots should not overlap
+        # resulting nb of channels should be bigger than the nb computed with path_bandwidth
+        # without being splitted
         # TODO: elaborate a more accurate estimate with nb_wl * tx_osnr + possibly guardbands in case of
         # superchannel closed packing.
-
+        nb_of_channels = 0
-        if requested_m > params['effective_freq_slot']['M']:
+        # order slots
-            msg = f'requested M {params["effective_freq_slot"]["M"]} number of slots for request' +\
+        slots = sorted(params['effective_freq_slot'], key=lambda x: float('inf') if x['N'] is None else x['N'])
-                  f'{params["request_id"]} should be greater than {requested_m} to support request' +\
+        for slot in slots:
-                  f'{params["path_bandwidth"] * 1e-9} Gbit/s with {params["trx_type"]} {params["trx_mode"]}'
+            nb_of_channels = nb_of_channels + slot['M'] // per_channel_m if slot['M'] is not None \
+                and nb_of_channels is not None else None
+            if slot['M'] is not None and slot['M'] < per_channel_m:
+                msg = f'Requested M {slot} number of slots for request' +\
+                      f' {params["request_id"]} should be greater than {per_channel_m} to support request' +\
+                      f'with {params["trx_type"]} {params["trx_mode"]}'
                 _logger.critical(msg)
+        if nb_of_channels is not None and nb_of_channels < required_nb_of_channels:
+            msg = f'Requested M {slots} number of slots for request {params["request_id"]} support {nb_of_channels}' +\
+                  f' nb of channels while {required_nb_of_channels} are required to support request' +\
+                  f' {params["path_bandwidth"] * 1e-9} Gbit/s with {params["trx_type"]} {params["trx_mode"]}'
             raise ServiceError(msg)
+        if nb_of_channels is not None:
+            _, stop0n = mvalue_to_slots(slots[0]['N'], slots[0]['M'])
+            i = 1
+            while i < len(slots):
+                slot = slots[i]
+                startn, stopn = mvalue_to_slots(slot['N'], slot['M'])
+                if startn <= stop0n:
+                    msg = f'Requested M {slots} for request {params["request_id"]} overlap'
+                    raise ServiceError(msg)
+                _, stop0n = startn, stopn
+                i += 1
 
 
 def disjunctions_from_json(json_data):

gnpy/tools/plots.py

@@ -1,12 +1,12 @@
 #!/usr/bin/env python3
 # -*- coding: utf-8 -*-
 
-'''
+"""
 gnpy.tools.plots
 ================
 
 Graphs and plots usable from a CLI application
-'''
+"""
 
 from matplotlib.pyplot import show, axis, figure, title, text
 from networkx import draw_networkx

gnpy/tools/service_sheet.py

@@ -18,7 +18,6 @@ from copy import deepcopy
 from gnpy.core.utils import db2lin
 from gnpy.core.exceptions import ServiceError
 from gnpy.core.elements import Transceiver, Roadm, Edfa, Fiber
-import gnpy.core.ansi_escapes as ansi_escapes
 from gnpy.tools.convert import corresp_names, corresp_next_node
 
 SERVICES_COLUMN = 12
@@ -68,24 +67,21 @@ class Request_element(Element):
                 if [mode for mode in equipment['Transceiver'][Request.trx_type].mode if mode['format'] == Requestmode]:
                     self.mode = Requestmode
                 else:
-                    msg = f'Request Id: {self.request_id} - could not find tsp : \'{Request.trx_type}\' with mode: \'{Requestmode}\' in eqpt library \nComputation stopped.'
+                    msg = f'Request Id: {self.request_id} - could not find tsp : \'{Request.trx_type}\' ' \
-                    # print(msg)
+                        + f'with mode: \'{Requestmode}\' in eqpt library \nComputation stopped.'
-                    logger.critical(msg)
                     raise ServiceError(msg)
             else:
                 Requestmode = None
                 self.mode = Request.mode
         except KeyError:
-            msg = f'Request Id: {self.request_id} - could not find tsp : \'{Request.trx_type}\' with mode: \'{Request.mode}\' in eqpt library \nComputation stopped.'
+            msg = f'Request Id: {self.request_id} - could not find tsp : \'{Request.trx_type}\' ' \
-            # print(msg)
+                + f'with mode: \'{Request.mode}\' in eqpt library \nComputation stopped.'
-            logger.critical(msg)
             raise ServiceError(msg)
         # excel input are in GHz and dBm
         if Request.spacing is not None:
             self.spacing = Request.spacing * 1e9
         else:
             msg = f'Request {self.request_id} missing spacing: spacing is mandatory.\ncomputation stopped'
-            logger.critical(msg)
             raise ServiceError(msg)
         if Request.power is not None:
             self.power = db2lin(Request.power) * 1e-3
@@ -225,7 +221,7 @@ def parse_excel(input_filename):
 def parse_service_sheet(service_sheet):
     """ reads each column according to authorized fieldnames. order is not important.
     """
-    logger.info(f'Validating headers on {service_sheet.name!r}')
+    logger.debug(f'Validating headers on {service_sheet.name!r}')
     # add a test on field to enable the '' field case that arises when columns on the
     # right hand side are used as comments or drawing in the excel sheet
     header = [x.value.strip() for x in service_sheet.row(4)[0:SERVICES_COLUMN]
@@ -245,7 +241,6 @@ def parse_service_sheet(service_sheet):
         service_fieldnames = [authorized_fieldnames[e] for e in header]
     except KeyError:
         msg = f'Malformed header on Service sheet: {header} field not in {authorized_fieldnames}'
-        logger.critical(msg)
         raise ValueError(msg)
     for row in all_rows(service_sheet, start=5):
         yield Request(**parse_row(row[0:SERVICES_COLUMN], service_fieldnames))
@@ -273,15 +268,13 @@ def correct_xls_route_list(network_filename, network, pathreqlist):
     for pathreq in pathreqlist:
         # first check that source and dest are transceivers
         if pathreq.source not in transponders:
-            msg = f'{ansi_escapes.red}Request: {pathreq.request_id}: could not find' +\
+            msg = f'Request: {pathreq.request_id}: could not find' +\
-                f' transponder source : {pathreq.source}.{ansi_escapes.reset}'
+                f' transponder source : {pathreq.source}.'
-            logger.critical(msg)
             raise ServiceError(msg)
 
         if pathreq.destination not in transponders:
-            msg = f'{ansi_escapes.red}Request: {pathreq.request_id}: could not find' +\
+            msg = f'Request: {pathreq.request_id}: could not find' +\
-                f' transponder destination: {pathreq.destination}.{ansi_escapes.reset}'
+                f' transponder destination: {pathreq.destination}.'
-            logger.critical(msg)
             raise ServiceError(msg)
         # silently pop source and dest nodes from the list if they were added by the user as first
         # and last elem in the constraints respectively. Other positions must lead to an error
@@ -333,17 +326,16 @@ def correct_xls_route_list(network_filename, network, pathreqlist):
                             # too much ambiguity, 'b' is an ila, its name can be:
                             # Edfa0_fiber (a → b)-xx if next node is c or
                             # Edfa0_fiber (c → b)-xx if next node is a
-                            msg = f'{ansi_escapes.yellow}Invalid route node specified:' +\
+                            msg = f'Request {pathreq.request_id}: Invalid route node specified:' \
-                                f'\n\t\'{n_id}\', replaced with \'{new_n}\'{ansi_escapes.reset}'
+                                + f'\n\t\'{n_id}\', replaced with \'{new_n}\''
-                            logger.info(msg)
+                            logger.warning(msg)
                             pathreq.nodes_list[pathreq.nodes_list.index(n_id)] = new_n
                     except StopIteration:
                         # shall not come in this case, unless requested direction does not exist
-                        msg = f'{ansi_escapes.yellow}Invalid route specified {n_id}: could' +\
+                        msg = f'Request {pathreq.request_id}: Invalid route specified {n_id}: could' \
-                            f' not decide on direction, skipped!.\nPlease add a valid' +\
+                            + ' not decide on direction, skipped!.\nPlease add a valid' \
-                            f' direction in constraints (next neighbour node){ansi_escapes.reset}'
+                            + ' direction in constraints (next neighbour node)'
-                        print(msg)
+                        logger.warning(msg)
-                        logger.info(msg)
                         pathreq.loose_list.pop(pathreq.nodes_list.index(n_id))
                         pathreq.nodes_list.remove(n_id)
                 else:
@@ -351,28 +343,24 @@ def correct_xls_route_list(network_filename, network, pathreqlist):
                         # if no matching can be found in the network just ignore this constraint
                         # if it is a loose constraint
                         # warns the user that this node is not part of the topology
-                        msg = f'{ansi_escapes.yellow}Invalid node specified:\n\t\'{n_id}\'' +\
+                        msg = f'Request {pathreq.request_id}: Invalid node specified:\n\t\'{n_id}\'' \
-                            f', could not use it as constraint, skipped!{ansi_escapes.reset}'
+                            + ', could not use it as constraint, skipped!'
-                        print(msg)
+                        logger.warning(msg)
-                        logger.info(msg)
                         pathreq.loose_list.pop(pathreq.nodes_list.index(n_id))
                         pathreq.nodes_list.remove(n_id)
                     else:
-                        msg = f'{ansi_escapes.red}Could not find node:\n\t\'{n_id}\' in network' +\
+                        msg = f'Request {pathreq.request_id}: Could not find node:\n\t\'{n_id}\' in network' \
-                            f' topology. Strict constraint can not be applied.{ansi_escapes.reset}'
+                            + ' topology. Strict constraint can not be applied.'
-                        logger.critical(msg)
                         raise ServiceError(msg)
             else:
                 if temp.loose_list[i] == 'LOOSE':
-                    print(f'{ansi_escapes.yellow}Invalid route node specified:\n\t\'{n_id}\'' +
+                    logger.warning(f'Request {pathreq.request_id}: Invalid route node specified:\n\t\'{n_id}\''
-                          f' type is not supported as constraint with xls network input,' +
+                                   + ' type is not supported as constraint with xls network input, skipped!')
-                          f' skipped!{ansi_escapes.reset}')
                     pathreq.loose_list.pop(pathreq.nodes_list.index(n_id))
                     pathreq.nodes_list.remove(n_id)
                 else:
-                    msg = f'{ansi_escapes.red}Invalid route node specified \n\t\'{n_id}\'' +\
+                    msg = f'Invalid route node specified \n\t\'{n_id}\'' \
-                        f' type is not supported as constraint with xls network input,' +\
+                        + ' type is not supported as constraint with xls network input,' \
-                        f', Strict constraint can not be applied.{ansi_escapes.reset}'
+                        + ', Strict constraint can not be applied.'
-                    logger.critical(msg)
                     raise ServiceError(msg)
     return pathreqlist

gnpy/topology/__init__.py

@@ -1,3 +1,3 @@
-'''
+"""
 Tracking :py:mod:`.request` for spectrum and their :py:mod:`.spectrum_assignment`.
-'''
+"""

gnpy/topology/request.py

@@ -25,7 +25,6 @@ from gnpy.core.elements import Transceiver, Roadm
 from gnpy.core.utils import lin2db
 from gnpy.core.info import create_input_spectral_information, carriers_to_spectral_information, ReferenceCarrier
 from gnpy.core.exceptions import ServiceError, DisjunctionError
-import gnpy.core.ansi_escapes as ansi_escapes
 from copy import deepcopy
 from csv import writer
 from math import ceil
@@ -35,15 +34,14 @@ LOGGER = getLogger(__name__)
 RequestParams = namedtuple('RequestParams', 'request_id source destination bidir trx_type'
                            ' trx_mode nodes_list loose_list spacing power nb_channel f_min'
                            ' f_max format baud_rate OSNR penalties bit_rate'
-                           ' roll_off tx_osnr min_spacing cost path_bandwidth effective_freq_slot')
+                           ' roll_off tx_osnr min_spacing cost path_bandwidth effective_freq_slot'
+                           ' equalization_offset_db')
 DisjunctionParams = namedtuple('DisjunctionParams', 'disjunction_id relaxable link_diverse'
                                ' node_diverse disjunctions_req')
 
 
 class PathRequest:
-    """ the class that contains all attributes related to a request
+    """the class that contains all attributes related to a request"""
-    """
-
     def __init__(self, *args, **params):
         params = RequestParams(**params)
         self.request_id = params.request_id
@@ -70,9 +68,10 @@ class PathRequest:
         self.cost = params.cost
         self.path_bandwidth = params.path_bandwidth
         if params.effective_freq_slot is not None:
-            self.N = params.effective_freq_slot['N']
+            self.N = [s['N'] for s in params.effective_freq_slot]
-            self.M = params.effective_freq_slot['M']
+            self.M = [s['M'] for s in params.effective_freq_slot]
         self.initial_spectrum = None
+        self.offset_db = params.equalization_offset_db
 
     def __str__(self):
         return '\n\t'.join([f'{type(self).__name__} {self.request_id}',
@@ -104,8 +103,7 @@ class PathRequest:
 
 
 class Disjunction:
-    """ the class that contains all attributes related to disjunction constraints
+    """the class that contains all attributes related to disjunction constraints"""
-    """
 
     def __init__(self, *args, **params):
         params = DisjunctionParams(**params)
@@ -150,8 +148,7 @@ class ResultElement:
 
     @property
     def detailed_path_json(self):
-        """ a function that builds path object for normal and blocking cases
+        """a function that builds path object for normal and blocking cases"""
-        """
         index = 0
         pro_list = []
         for element in self.computed_path:
@@ -175,10 +172,10 @@ class ResultElement:
                 temp = {
                     'path-route-object': {
                         'index': index,
-                        "label-hop": {
+                        "label-hop": [{
-                            "N": self.path_request.N,
+                            "N": n,
-                            "M": self.path_request.M
+                            "M": m
-                        },
+                        } for n, m in zip(self.path_request.N, self.path_request.M)],
                     }
                 }
                 pro_list.append(temp)
@@ -207,11 +204,9 @@ class ResultElement:
 
     @property
     def path_properties(self):
-        """ a function that returns the path properties (metrics, crossed elements) into a dict
+        """a function that returns the path properties (metrics, crossed elements) into a dict"""
-        """
         def path_metric(pth, req):
-            """ creates the metrics dictionary
+            """creates the metrics dictionary"""
-            """
             return [
                 {
                     'metric-type': 'SNR-bandwidth',
@@ -253,8 +248,7 @@ class ResultElement:
 
     @property
     def pathresult(self):
-        """ create the result dictionnary (response for a request)
+        """create the result dictionnary (response for a request)"""
-        """
         try:
             if self.path_request.blocking_reason in BLOCKING_NOPATH:
                 response = {
@@ -292,7 +286,6 @@ def compute_constrained_path(network, req):
         # been corrected and harmonized before
         msg = (f'Request {req.request_id} malformed list of nodes: last node should '
                'be destination trx')
-        LOGGER.critical(msg)
         raise ValueError()
 
     trx = [n for n in network if isinstance(n, Transceiver)]
@@ -307,10 +300,9 @@ def compute_constrained_path(network, req):
         path_generator = shortest_simple_paths(network, source, destination, weight='weight')
         total_path = next(path for path in path_generator if ispart(nodes_list, path))
     except NetworkXNoPath:
-        msg = (f'{ansi_escapes.yellow}Request {req.request_id} could not find a path from'
+        msg = (f'Request {req.request_id} could not find a path from'
-               f' {source.uid} to node: {destination.uid} in network topology{ansi_escapes.reset}')
+               f' {source.uid} to node: {destination.uid} in network topology')
         LOGGER.critical(msg)
-        print(msg)
         req.blocking_reason = 'NO_PATH'
         total_path = []
     except StopIteration:
@@ -319,24 +311,21 @@ def compute_constrained_path(network, req):
         # last node which is the transceiver)
         # if all nodes i n node_list are LOOSE constraint, skip the constraints and find
         # a path w/o constraints, else there is no possible path
-        print(f'{ansi_escapes.yellow}Request {req.request_id} could not find a path crossing '
+        LOGGER.warning(f'Request {req.request_id} could not find a path crossing '
-              f'{[el.uid for el in nodes_list[:-1]]} in network topology{ansi_escapes.reset}')
+                       f'{[el.uid for el in nodes_list[:-1]]} in network topology')
 
         if 'STRICT' not in req.loose_list[:-1]:
-            msg = (f'{ansi_escapes.yellow}Request {req.request_id} could not find a path with user_'
+            msg = (f'Request {req.request_id} could not find a path with user_'
-                   f'include node constraints{ansi_escapes.reset}')
+                   f'include node constraints. Constraint ignored')
-            LOGGER.info(msg)
+            LOGGER.warning(msg)
-            print(f'constraint ignored')
             total_path = dijkstra_path(network, source, destination, weight='weight')
         else:
             # one STRICT makes the whole list STRICT
-            msg = (f'{ansi_escapes.yellow}Request {req.request_id} could not find a path with user '
+            msg = (f'Request {req.request_id} could not find a path with user '
-                   f'include node constraints.\nNo path computed{ansi_escapes.reset}')
+                   f'include node constraints.\nNo path computed')
             LOGGER.critical(msg)
-            print(msg)
             req.blocking_reason = 'NO_PATH_WITH_CONSTRAINT'
             total_path = []
-
     return total_path
 
 
@@ -350,15 +339,15 @@ def ref_carrier(equipment):
 
 
 def propagate(path, req, equipment):
-    """ propagates signals in each element according to initial spectrum set by user
+    """propagates signals in each element according to initial spectrum set by user"""
-    """
     if req.initial_spectrum is not None:
         si = carriers_to_spectral_information(initial_spectrum=req.initial_spectrum,
                                               power=req.power, ref_carrier=ref_carrier(equipment))
     else:
         si = create_input_spectral_information(
             f_min=req.f_min, f_max=req.f_max, roll_off=req.roll_off, baud_rate=req.baud_rate,
-            power=req.power, spacing=req.spacing, tx_osnr=req.tx_osnr, ref_carrier=ref_carrier(equipment))
+            power=req.power, spacing=req.spacing, tx_osnr=req.tx_osnr, delta_pdb=req.offset_db,
+            ref_carrier=ref_carrier(equipment))
     for i, el in enumerate(path):
         if isinstance(el, Roadm):
             si = el(si, degree=path[i+1].uid)
@@ -376,20 +365,21 @@ def propagate(path, req, equipment):
 
 def propagate_and_optimize_mode(path, req, equipment):
     # if mode is unknown : loops on the modes starting from the highest baudrate fiting in the
-    # step 1: create an ordered list of modes based on baudrate
+    # step 1: create an ordered list of modes based on baudrate and power offset
-    baudrate_to_explore = list(set([this_mode['baud_rate']
+    # order higher baudrate with higher power offset first
+    baudrate_offset_to_explore = list(set([(this_mode['baud_rate'], this_mode['equalization_offset_db'])
                                            for this_mode in equipment['Transceiver'][req.tsp].mode
                                            if float(this_mode['min_spacing']) <= req.spacing]))
     # TODO be carefull on limits cases if spacing very close to req spacing eg 50.001 50.000
-    baudrate_to_explore = sorted(baudrate_to_explore, reverse=True)
+    baudrate_offset_to_explore = sorted(baudrate_offset_to_explore, reverse=True)
-    if baudrate_to_explore:
+    if baudrate_offset_to_explore:
         # at least 1 baudrate can be tested wrt spacing
-        for this_br in baudrate_to_explore:
+        for (this_br, this_offset) in baudrate_offset_to_explore:
             modes_to_explore = [this_mode for this_mode in equipment['Transceiver'][req.tsp].mode
-                                if this_mode['baud_rate'] == this_br and
+                                if this_mode['baud_rate'] == this_br
-                                float(this_mode['min_spacing']) <= req.spacing]
+                                and float(this_mode['min_spacing']) <= req.spacing]
             modes_to_explore = sorted(modes_to_explore,
-                                      key=lambda x: x['bit_rate'], reverse=True)
+                                      key=lambda x: (x['bit_rate'], x['equalization_offset_db']), reverse=True)
             # step2: computes propagation for each baudrate: stop and select the first that passes
             # TODO: the case of roll off is not included: for now use SI one
             # TODO: if the loop in mode optimization does not have a feasible path, then bugs
@@ -401,6 +391,7 @@ def propagate_and_optimize_mode(path, req, equipment):
             spc_info = create_input_spectral_information(f_min=req.f_min, f_max=req.f_max,
                                                          roll_off=equipment['SI']['default'].roll_off,
                                                          baud_rate=this_br, power=req.power, spacing=req.spacing,
+                                                         delta_pdb=this_offset,
                                                          tx_osnr=req.tx_osnr, ref_carrier=ref_carrier(equipment))
             for i, el in enumerate(path):
                 if isinstance(el, Roadm):
@@ -428,22 +419,19 @@ def propagate_and_optimize_mode(path, req, equipment):
 
         # returns the last propagated path and mode
         msg = f'\tWarning! Request {req.request_id}: no mode satisfies path SNR requirement.\n'
-        print(msg)
+        LOGGER.warning(msg)
-        LOGGER.info(msg)
         req.blocking_reason = 'NO_FEASIBLE_MODE'
         return path, last_explored_mode
     else:
         # no baudrate satisfying spacing
         msg = f'\tWarning! Request {req.request_id}: no baudrate satisfies spacing requirement.\n'
-        print(msg)
+        LOGGER.warning(msg)
-        LOGGER.info(msg)
         req.blocking_reason = 'NO_FEASIBLE_BAUDRATE_WITH_SPACING'
         return [], None
 
 
 def jsontopath_metric(path_metric):
-    """ a functions that reads resulting metric  from json string
+    """a functions that reads resulting metric  from json string"""
-    """
     output_snr = next(e['accumulative-value']
                       for e in path_metric if e['metric-type'] == 'SNR-0.1nm')
     output_snrbandwidth = next(e['accumulative-value']
@@ -461,9 +449,7 @@ def jsontopath_metric(path_metric):
 
 
 def jsontoparams(my_p, tsp, mode, equipment):
-    """ a function that derives optical params from transponder type and mode
+    """a function that derives optical params from transponder type and mode supports the no mode case"""
-        supports the no mode case
-    """
     temp = []
     for elem in my_p['path-properties']['path-route-objects']:
         if 'num-unnum-hop' in elem['path-route-object']:
@@ -473,8 +459,8 @@ def jsontoparams(my_p, tsp, mode, equipment):
     temp2 = []
     for elem in my_p['path-properties']['path-route-objects']:
         if 'label-hop' in elem['path-route-object'].keys():
-            temp2.append(f'{elem["path-route-object"]["label-hop"]["N"]}, ' +
+            temp2.append(f'{[e["N"] for e in elem["path-route-object"]["label-hop"]]}, '
-                         f'{elem["path-route-object"]["label-hop"]["M"]}')
+                         + f'{[e["M"] for e in elem["path-route-object"]["label-hop"]]}')
     # OrderedDict.fromkeys returns the unique set of strings.
     # TODO: if spectrum changes along the path, we should be able to give the segments
     #       eg for regeneration case
@@ -836,13 +822,13 @@ def compute_path_dsjctn(network, equipment, pathreqlist, disjunctions_list):
                     if not ispart(allpaths[id(pth)].req.nodes_list, pth):
                         testispartok = False
                         if 'STRICT' in allpaths[id(pth)].req.loose_list:
-                            LOGGER.info(f'removing solution from candidate paths\n{pth}')
+                            LOGGER.debug(f'removing solution from candidate paths\n{pth}')
                             testispartnokloose = False
                             break
             if testispartok:
                 temp.append(sol)
             elif testispartnokloose:
-                LOGGER.info(f'Adding solution as alternate solution not satisfying constraint\n{pth}')
+                LOGGER.debug(f'Adding solution as alternate solution not satisfying constraint\n{pth}')
                 alternatetemp.append(sol)
         if temp:
             candidates[this_d.disjunction_id] = temp
@@ -864,9 +850,7 @@ def compute_path_dsjctn(network, equipment, pathreqlist, disjunctions_list):
                     # remove duplicated candidates
                     candidates = remove_candidate(candidates, allpaths, allpaths[id(pth)].req, pth)
         else:
-            msg = f'No disjoint path found with added constraint'
+            msg = 'No disjoint path found with added constraint\nComputation stopped.'
-            LOGGER.critical(msg)
-            print(f'{msg}\nComputation stopped.')
             # TODO in this case: replay step 5  with the candidate without constraints
             raise DisjunctionError(msg)
 
@@ -887,8 +871,7 @@ def compute_path_dsjctn(network, equipment, pathreqlist, disjunctions_list):
 
 
 def isdisjoint(pth1, pth2):
-    """ returns 0 if disjoint
+    """returns 0 if disjoint"""
-    """
     edge1 = list(pairwise(pth1))
     edge2 = list(pairwise(pth2))
     for edge in edge1:
@@ -923,9 +906,8 @@ def find_reversed_path(pth):
             # concatenation should be [roadma el1 el2 roadmb el3 el4 roadmc]
             reversed_path = list(OrderedDict.fromkeys(reversed_path))
         else:
-            msg = f'Error while handling reversed path {pth[-1].uid} to {pth[0].uid}:' +\
+            msg = f'Error while handling reversed path {pth[-1].uid} to {pth[0].uid}:' \
-                ' can not handle unidir topology. TO DO.'
+                + ' can not handle unidir topology. TO DO.'
-            LOGGER.critical(msg)
             raise ValueError(msg)
     reversed_path.append(pth[0])
 
@@ -933,9 +915,7 @@ def find_reversed_path(pth):
 
 
 def ispart(ptha, pthb):
-    """ the functions takes two paths a and b and retrns True
+    """the functions takes two paths a and b and retrns True if all a elements are part of b and in the same order"""
-        if all a elements are part of b and in the same order
-    """
     j = 0
     for elem in ptha:
         if elem in pthb:
@@ -949,8 +929,7 @@ def ispart(ptha, pthb):
 
 
 def remove_candidate(candidates, allpaths, rqst, pth):
-    """ filter duplicate candidates
+    """filter duplicate candidates"""
-    """
     # print(f'coucou {rqst.request_id}')
     for key, candidate in candidates.items():
         temp = candidate.copy()
@@ -965,8 +944,7 @@ def remove_candidate(candidates, allpaths, rqst, pth):
 
 
 def compare_reqs(req1, req2, disjlist):
-    """ compare two requests: returns True or False
+    """compare two requests: returns True or False"""
-    """
     dis1 = [d for d in disjlist if req1.request_id in d.disjunctions_req]
     dis2 = [d for d in disjlist if req2.request_id in d.disjunctions_req]
     same_disj = False
@@ -999,9 +977,7 @@ def compare_reqs(req1, req2, disjlist):
             req1.format == req2.format and \
             req1.OSNR == req2.OSNR and \
             req1.roll_off == req2.roll_off and \
-            same_disj and \
+            same_disj:
-            getattr(req1, 'N', None) is None and getattr(req2, 'N', None) is None and \
-            getattr(req1, 'M', None) is None and getattr(req2, 'M', None) is None:
         return True
     else:
         return False
@@ -1010,17 +986,22 @@ def compare_reqs(req1, req2, disjlist):
 def requests_aggregation(pathreqlist, disjlist):
     """this function aggregates requests so that if several requests
     exist between same source and destination and with same transponder type
+    If transponder mode is defined and identical, then also agregates demands.
     """
     # todo maybe add conditions on mode ??, spacing ...
     # currently if undefined takes the default values
     local_list = pathreqlist.copy()
     for req in pathreqlist:
         for this_r in local_list:
-            if req.request_id != this_r.request_id and compare_reqs(req, this_r, disjlist):
+            if req.request_id != this_r.request_id and compare_reqs(req, this_r, disjlist) and\
+                    this_r.tsp_mode is not None:
                 # aggregate
                 this_r.path_bandwidth += req.path_bandwidth
+                this_r.N = this_r.N + req.N
+                this_r.M = this_r.M + req.M
                 temp_r_id = this_r.request_id
                 this_r.request_id = ' | '.join((this_r.request_id, req.request_id))
+
                 # remove request from list
                 local_list.remove(req)
                 # todo change also disjunction req with new demand
@@ -1038,6 +1019,7 @@ def requests_aggregation(pathreqlist, disjlist):
 
 def correct_json_route_list(network, pathreqlist):
     """all names in list should be exact name in the network, and there is no ambiguity
+
     This function only checks that list is correct, warns user if the name is incorrect and
     suppresses the constraint it it is loose or raises an error if it is strict
     """
@@ -1045,15 +1027,13 @@ def correct_json_route_list(network, pathreqlist):
     transponders = [n.uid for n in network.nodes() if isinstance(n, Transceiver)]
     for pathreq in pathreqlist:
         if pathreq.source not in transponders:
-            msg = f'{ansi_escapes.red}Request: {pathreq.request_id}: could not find transponder' +\
+            msg = f'Request: {pathreq.request_id}: could not find transponder' \
-                f' source : {pathreq.source}.{ansi_escapes.reset}'
+                + f' source : {pathreq.source}.'
-            LOGGER.critical(msg)
             raise ServiceError(msg)
 
         if pathreq.destination not in transponders:
-            msg = f'{ansi_escapes.red}Request: {pathreq.request_id}: could not find transponder' +\
+            msg = f'Request: {pathreq.request_id}: could not find transponder' \
-                f' destination : {pathreq.destination}.{ansi_escapes.reset}'
+                + f' destination : {pathreq.destination}.'
-            LOGGER.critical(msg)
             raise ServiceError(msg)
 
         # silently remove source and dest nodes from the list
@@ -1072,24 +1052,21 @@ def correct_json_route_list(network, pathreqlist):
                     # if no matching can be found in the network just ignore this constraint
                     # if it is a loose constraint
                     # warns the user that this node is not part of the topology
-                    msg = f'{ansi_escapes.yellow}invalid route node specified:\n\t\'{n_id}\',' +\
+                    msg = f'invalid route node specified:\n\t\'{n_id}\',' \
-                        f' could not use it as constraint, skipped!{ansi_escapes.reset}'
+                        + ' could not use it as constraint, skipped!'
-                    print(msg)
+                    LOGGER.warning(msg)
-                    LOGGER.info(msg)
                     pathreq.loose_list.pop(pathreq.nodes_list.index(n_id))
                     pathreq.nodes_list.remove(n_id)
                 else:
-                    msg = f'{ansi_escapes.red}could not find node:\n\t \'{n_id}\' in network' +\
+                    msg = f'could not find node:\n\t \'{n_id}\' in network' \
-                        f' topology. Strict constraint can not be applied.{ansi_escapes.reset}'
+                        + ' topology. Strict constraint can not be applied.'
-                    LOGGER.critical(msg)
                     raise ServiceError(msg)
 
     return pathreqlist
 
 
 def deduplicate_disjunctions(disjn):
-    """ clean disjunctions to remove possible repetition
+    """clean disjunctions to remove possible repetition"""
-    """
     local_disjn = disjn.copy()
     for elem in local_disjn:
         for dis_elem in local_disjn:
@@ -1101,6 +1078,7 @@ def deduplicate_disjunctions(disjn):
 
 def compute_path_with_disjunction(network, equipment, pathreqlist, pathlist):
     """use a list but a dictionnary might be helpful to find path based on request_id
+
     TODO change all these req, dsjct, res lists into dict !
     """
     path_res_list = []
@@ -1112,10 +1090,10 @@ def compute_path_with_disjunction(network, equipment, pathreqlist, pathlist):
         # use the power specified in requests but might be different from the one
         # specified for design the power is an optional parameter for requests
         # definition if optional, use the one defines in eqt_config.json
-        print(f'request {pathreq.request_id}')
+        msg = f'\n\trequest {pathreq.request_id}\n' \
-        print(f'Computing path from {pathreq.source} to {pathreq.destination}')
+              + f'\tComputing path from {pathreq.source} to {pathreq.destination}\n' \
-        # adding first node to be clearer on the output
+              + f'\twith path constraint: {[pathreq.source] + pathreq.nodes_list}'
-        print(f'with path constraint: {[pathreq.source] + pathreq.nodes_list}')
+        # # adding first node to be clearer on the output
 
         # pathlist[i] contains the whole path information for request i
         # last element is a transciver and where the result of the propagation is
@@ -1125,7 +1103,8 @@ def compute_path_with_disjunction(network, equipment, pathreqlist, pathlist):
         # may use the same transponder for the performance simulation. This is why
         # we use deepcopy: to ensure that each propagation is recorded and not overwritten
         total_path = deepcopy(pathlist[i])
-        print(f'Computed path (roadms):{[e.uid for e in total_path  if isinstance(e, Roadm)]}')
+        msg = msg + f'\n\tComputed path (roadms):{[e.uid for e in total_path  if isinstance(e, Roadm)]}'
+        LOGGER.info(msg)
         # for debug
         # print(f'{pathreq.baud_rate}   {pathreq.power}   {pathreq.spacing}   {pathreq.nb_channel}')
         if total_path:
@@ -1136,14 +1115,12 @@ def compute_path_with_disjunction(network, equipment, pathreqlist, pathlist):
                 snr01nm_with_penalty = total_path[-1].snr_01nm - total_path[-1].total_penalty
                 min_ind = argmin(snr01nm_with_penalty)
                 if round(snr01nm_with_penalty[min_ind], 2) < pathreq.OSNR + equipment['SI']['default'].sys_margins:
-                    msg = f'\tWarning! Request {pathreq.request_id} computed path from' +\
+                    msg = f'\tWarning! Request {pathreq.request_id} computed path from' \
-                          f' {pathreq.source} to {pathreq.destination} does not pass with {pathreq.tsp_mode}' +\
+                          + f' {pathreq.source} to {pathreq.destination} does not pass with {pathreq.tsp_mode}' \
-                          f'\n\tcomputed SNR in 0.1nm = {round(total_path[-1].snr_01nm[min_ind], 2)}' +\
+                          + f'\n\tcomputed SNR in 0.1nm = {round(total_path[-1].snr_01nm[min_ind], 2)}'
-                          f'\n\tCD penalty = {round(total_path[-1].penalties["chromatic_dispersion"][min_ind], 2)}' +\
+                    msg = _penalty_msg(total_path, msg, min_ind) \
-                          f'\n\tPMD penalty = {round(total_path[-1].penalties["pmd"][min_ind], 2)}' +\
+                        + f'\n\trequired osnr = {pathreq.OSNR}' \
-                          f'\n\trequired osnr = {pathreq.OSNR}' +\
+                        + f'\n\tsystem margin = {equipment["SI"]["default"].sys_margins}'
-                          f'\n\tsystem margin = {equipment["SI"]["default"].sys_margins}'
-                    print(msg)
                     LOGGER.warning(msg)
                     pathreq.blocking_reason = 'MODE_NOT_FEASIBLE'
             else:
@@ -1179,22 +1156,20 @@ def compute_path_with_disjunction(network, equipment, pathreqlist, pathlist):
             if pathreq.bidir and pathreq.baud_rate is not None:
                 # Both directions requested, and a feasible mode was found
                 rev_p = deepcopy(reversed_path)
-
+                msg = f'\n\tPropagating Z to A direction {pathreq.destination} to {pathreq.source}\n' \
-                print(f'\n\tPropagating Z to A direction {pathreq.destination} to {pathreq.source}')
+                      + f'\tPath (roadms) {[r.uid for r in rev_p if isinstance(r,Roadm)]}\n'
-                print(f'\tPath (roadsm) {[r.uid for r in rev_p if isinstance(r,Roadm)]}\n')
+                LOGGER.info(msg)
                 propagate(rev_p, pathreq, equipment)
                 propagated_reversed_path = rev_p
                 snr01nm_with_penalty = rev_p[-1].snr_01nm - rev_p[-1].total_penalty
                 min_ind = argmin(snr01nm_with_penalty)
                 if round(snr01nm_with_penalty[min_ind], 2) < pathreq.OSNR + equipment['SI']['default'].sys_margins:
-                    msg = f'\tWarning! Request {pathreq.request_id} computed path from' +\
+                    msg = f'\tWarning! Request {pathreq.request_id} computed path from' \
-                          f' {pathreq.source} to {pathreq.destination} does not pass with {pathreq.tsp_mode}' +\
+                          + f' {pathreq.destination} to {pathreq.source} does not pass with {pathreq.tsp_mode}' \
-                          f'\n\tcomputed SNR in 0.1nm = {round(rev_p[-1].snr_01nm[min_ind], 2)}' +\
+                          + f'\n\tcomputed SNR in 0.1nm = {round(rev_p[-1].snr_01nm[min_ind], 2)}'
-                          f'\n\tCD penalty = {round(rev_p[-1].penalties["chromatic_dispersion"][min_ind], 2)}' +\
+                    msg = _penalty_msg(rev_p, msg, min_ind) \
-                          f'\n\tPMD penalty = {round(rev_p[-1].penalties["pmd"][min_ind], 2)}' +\
+                        + f'\n\trequired osnr = {pathreq.OSNR}' \
-                          f'\n\trequired osnr = {pathreq.OSNR}' +\
+                        + f'\n\tsystem margin = {equipment["SI"]["default"].sys_margins}'
-                          f'\n\tsystem margin = {equipment["SI"]["default"].sys_margins}'
-                    print(msg)
                     LOGGER.warning(msg)
                     # TODO selection of mode should also be on reversed direction !!
                     if not hasattr(pathreq, 'blocking_reason'):
@@ -1202,9 +1177,8 @@ def compute_path_with_disjunction(network, equipment, pathreqlist, pathlist):
             else:
                 propagated_reversed_path = []
         else:
-            msg = 'Total path is empty. No propagation'
+            msg = f'Request {pathreq.request_id}: Total path is empty. No propagation'
-            print(msg)
+            LOGGER.warning(msg)
-            LOGGER.info(msg)
             reversed_path = []
             propagated_reversed_path = []
 
@@ -1212,12 +1186,12 @@ def compute_path_with_disjunction(network, equipment, pathreqlist, pathlist):
         reversed_path_res_list.append(reversed_path)
         propagated_reversed_path_res_list.append(propagated_reversed_path)
         # print to have a nice output
-        print('')
     return path_res_list, reversed_path_res_list, propagated_reversed_path_res_list
 
 
 def compute_spectrum_slot_vs_bandwidth(bandwidth, spacing, bit_rate, slot_width=0.0125e12):
     """Compute the number of required wavelengths and the M value (number of consumed slots)
+
     Each wavelength consumes one `spacing`, and the result is rounded up to consume a natural number of slots.
 
     >>> compute_spectrum_slot_vs_bandwidth(400e9, 50e9, 200e9)
@@ -1226,3 +1200,19 @@ def compute_spectrum_slot_vs_bandwidth(bandwidth, spacing, bit_rate, slot_width=
     number_of_wavelengths = ceil(bandwidth / bit_rate)
     total_number_of_slots = ceil(spacing / slot_width) * number_of_wavelengths
     return number_of_wavelengths, total_number_of_slots
+
+
+def _penalty_msg(total_path, msg, min_ind):
+    """formatting helper for reporting unfeasible paths
+
+    The penalty info are optional, so this checks that penalty exists before creating a message."""
+    penalty_dict = {
+        'pdl': 'PDL',
+        'chromatic_dispersion': 'CD',
+        'pmd': 'PMD'}
+    for key, pretty in penalty_dict.items():
+        if key in total_path[-1].penalties:
+            msg += f'\n\t{pretty} penalty = {round(total_path[-1].penalties[key][min_ind], 2)}'
+        else:
+            msg += f'\n\t{pretty} penalty not evaluated'
+    return msg

gnpy/topology/spectrum_assignment.py

@@ -17,14 +17,14 @@ from collections import namedtuple
 from logging import getLogger
 from gnpy.core.elements import Roadm, Transceiver
 from gnpy.core.exceptions import ServiceError, SpectrumError
+from gnpy.core.utils import order_slots, restore_order
 from gnpy.topology.request import compute_spectrum_slot_vs_bandwidth
 
 LOGGER = getLogger(__name__)
 
 
 class Bitmap:
-    """ records the spectrum occupation
+    """records the spectrum occupation"""
-    """
 
     def __init__(self, f_min, f_max, grid, guardband=0.15e12, bitmap=None):
         # n is the min index including guardband. Guardband is require to be sure
@@ -45,26 +45,22 @@ class Bitmap:
             raise SpectrumError(f'bitmap is not consistant with f_min{f_min} - n: {n_min} and f_max{f_max}- n :{n_max}')
 
     def getn(self, i):
-        """ converts the n (itu grid) into a local index
+        """converts the n (itu grid) into a local index"""
-        """
         return self.freq_index[i]
 
     def geti(self, nvalue):
-        """ converts the local index into n (itu grid)
+        """converts the local index into n (itu grid)"""
-        """
         return self.freq_index.index(nvalue)
 
     def insert_left(self, newbitmap):
-        """ insert bitmap on the left to align oms bitmaps if their start frequencies are different
+        """insert bitmap on the left to align oms bitmaps if their start frequencies are different"""
-        """
         self.bitmap = newbitmap + self.bitmap
         temp = list(range(self.n_min - len(newbitmap), self.n_min))
         self.freq_index = temp + self.freq_index
         self.n_min = self.freq_index[0]
 
     def insert_right(self, newbitmap):
-        """ insert bitmap on the right to align oms bitmaps if their stop frequencies are different
+        """insert bitmap on the right to align oms bitmaps if their stop frequencies are different"""
-        """
         self.bitmap = self.bitmap + newbitmap
         self.freq_index = self.freq_index + list(range(self.n_max, self.n_max + len(newbitmap)))
         self.n_max = self.freq_index[-1]
@@ -98,36 +94,28 @@ class OMS:
                             f'{self.el_id_list[0]} - {self.el_id_list[-1]}', '\n'])
 
     def add_element(self, elem):
-        """ records oms elements
+        """records oms elements"""
-        """
         self.el_id_list.append(elem.uid)
         self.el_list.append(elem)
 
-    def update_spectrum(self, f_min, f_max, guardband=0.15e12, existing_spectrum=None,
+    def update_spectrum(self, f_min, f_max, guardband=0.15e12, existing_spectrum=None, grid=0.00625e12):
-                        grid=0.00625e12):
+        """Frequencies expressed in Hz.
-        """ frequencies expressed in Hz
+        Add 150 GHz margin to enable a center channel on f_min
+        Use ITU-T G694.1 Flexible DWDM grid definition
+        For the flexible DWDM grid, the allowed frequency slots have a nominal central frequency (in THz) defined by:
+        193.1 + n × 0.00625 where n is a positive or negative integer including 0
+        and 0.00625 is the nominal central frequency granularity in THz
+        and a slot width defined by:
+        12.5 × m where m is a positive integer and 12.5 is the slot width granularity in GHz.
+        Any combination of frequency slots is allowed as long as no two frequency slots overlap.
+        If bitmap is not None, then use it: Bitmap checks its consistency with f_min f_max
+        else a brand new bitmap is created
         """
-        if existing_spectrum is None:
+        self.spectrum_bitmap = Bitmap(f_min=f_min, f_max=f_max, grid=grid, guardband=guardband,
-            # add some 150 GHz margin to enable a center channel on f_min
+                                      bitmap=existing_spectrum)
-            # use ITU-T G694.1
-            # Flexible DWDM grid definition
-            # For the flexible DWDM grid, the allowed frequency slots have a nominal
-            # central frequency (in THz) defined by:
-            # 193.1 + n × 0.00625 where n is a positive or negative integer including 0
-            # and 0.00625 is the nominal central frequency granularity in THz
-            # and a slot width defined by:
-            # 12.5 × m where m is a positive integer and 12.5 is the slot width granularity in
-            # GHz.
-            # Any combination of frequency slots is allowed as long as no two frequency
-            # slots overlap.
-
-            # TODO : add explaination on that / parametrize ....
-            self.spectrum_bitmap = Bitmap(f_min, f_max, grid, guardband)
-            # print(len(self.spectrum_bitmap.bitmap))
 
     def assign_spectrum(self, nvalue, mvalue):
-        """ change oms spectrum to mark spectrum assigned
+        """change oms spectrum to mark spectrum assigned"""
-        """
         if not isinstance(nvalue, int):
             raise SpectrumError(f'N must be a signed integer, got {nvalue}')
         if not isinstance(mvalue, int):
@@ -146,14 +134,14 @@ class OMS:
         self.spectrum_bitmap.bitmap[self.spectrum_bitmap.geti(startn):self.spectrum_bitmap.geti(stopn) + 1] = [0] * (stopn - startn + 1)
 
     def add_service(self, service_id, nb_wl):
-        """ record service and mark spectrum as occupied
+        """record service and mark spectrum as occupied"""
-        """
         self.service_list.append(service_id)
         self.nb_channels += nb_wl
 
 
 def frequency_to_n(freq, grid=0.00625e12):
     """converts frequency into the n value (ITU grid)
+
     reference to Recommendation G.694.1 (02/12), Figure I.3
     https://www.itu.int/rec/T-REC-G.694.1-201202-I/en
 
@@ -168,6 +156,7 @@ def frequency_to_n(freq, grid=0.00625e12):
 
 def nvalue_to_frequency(nvalue, grid=0.00625e12):
     """converts n value into a frequency
+
     reference to Recommendation G.694.1 (02/12), Table 1
     https://www.itu.int/rec/T-REC-G.694.1-201202-I/en
 
@@ -181,8 +170,7 @@ def nvalue_to_frequency(nvalue, grid=0.00625e12):
 
 
 def mvalue_to_slots(nvalue, mvalue):
-    """ convert center n an m into start and stop n
+    """convert center n an m into start and stop n"""
-    """
     startn = nvalue - mvalue
     stopn = nvalue + mvalue - 1
     return startn, stopn
@@ -190,6 +178,7 @@ def mvalue_to_slots(nvalue, mvalue):
 
 def slots_to_m(startn, stopn):
     """converts the start and stop n values to the center n and m value
+
     reference to Recommendation G.694.1 (02/12), Figure I.3
     https://www.itu.int/rec/T-REC-G.694.1-201202-I/en
 
@@ -207,6 +196,7 @@ def slots_to_m(startn, stopn):
 
 def m_to_freq(nvalue, mvalue, grid=0.00625e12):
     """converts m into frequency range
+
     spectrum(13,7) is (193137500000000.0, 193225000000000.0)
     reference to Recommendation G.694.1 (02/12), Figure I.3
     https://www.itu.int/rec/T-REC-G.694.1-201202-I/en
@@ -225,9 +215,7 @@ def m_to_freq(nvalue, mvalue, grid=0.00625e12):
 
 
 def align_grids(oms_list):
-    """ used to apply same grid to all oms : same starting n, stop n and slot size
+    """Used to apply same grid to all oms : same starting n, stop n and slot size. Out of grid slots are set to 0."""
-        out of grid slots are set to 0
-    """
     n_min = min([o.spectrum_bitmap.n_min for o in oms_list])
     n_max = max([o.spectrum_bitmap.n_max for o in oms_list])
     for this_o in oms_list:
@@ -240,6 +228,7 @@ def align_grids(oms_list):
 
 def build_oms_list(network, equipment):
     """initialization of OMS list in the network
+
     an oms is build reading all intermediate nodes between two adjacent ROADMs
     each element within the list is being added an oms and oms_id to record the
     oms it belongs to.
@@ -297,6 +286,7 @@ def build_oms_list(network, equipment):
 
 def reversed_oms(oms_list):
     """identifies reversed OMS
+
     only applicable for non parallel OMS
     """
     for oms in oms_list:
@@ -322,28 +312,41 @@ def bitmap_sum(band1, band2):
     return res
 
 
-def spectrum_selection(pth, oms_list, requested_m, requested_n=None):
+def build_path_oms_id_list(pth):
-    """Collects spectrum availability and call the select_candidate function"""
-
-    # use indexes instead of ITU-T n values
     path_oms = []
     for elem in pth:
         if not isinstance(elem, Roadm) and not isinstance(elem, Transceiver):
             # only edfa, fused and fibers have oms_id attribute
             path_oms.append(elem.oms_id)
     # remove duplicate oms_id, order is not important
-    path_oms = list(set(path_oms))
+    return list(set(path_oms))
-    # assuming all oms have same freq index
-    if not path_oms:
-        candidate = (None, None, None)
-        return candidate, path_oms
-    freq_index = oms_list[path_oms[0]].spectrum_bitmap.freq_index
-    freq_index_min = oms_list[path_oms[0]].spectrum_bitmap.freq_index_min
-    freq_index_max = oms_list[path_oms[0]].spectrum_bitmap.freq_index_max
 
-    freq_availability = oms_list[path_oms[0]].spectrum_bitmap.bitmap
+
+def aggregate_oms_bitmap(path_oms, oms_list):
+    spectrum = oms_list[path_oms[0]].spectrum_bitmap
+    bitmap = spectrum.bitmap
+    # assuming all oms have same freq indices
     for oms in path_oms[1:]:
-        freq_availability = bitmap_sum(oms_list[oms].spectrum_bitmap.bitmap, freq_availability)
+        bitmap = bitmap_sum(oms_list[oms].spectrum_bitmap.bitmap, bitmap)
+    params = {
+        'oms_id': 0,
+        'el_id_list': 0,
+        'el_list': []
+    }
+    freq_min = nvalue_to_frequency(spectrum.freq_index_min)
+    freq_max = nvalue_to_frequency(spectrum.freq_index_max)
+    aggregate_oms = OMS(**params)
+    aggregate_oms.update_spectrum(freq_min, freq_max, grid=0.00625e12, existing_spectrum=bitmap)
+    return aggregate_oms
+
+
+def spectrum_selection(test_oms, requested_m, requested_n=None):
+    """Collects spectrum availability and call the select_candidate function"""
+    freq_index = test_oms.spectrum_bitmap.freq_index
+    freq_index_min = test_oms.spectrum_bitmap.freq_index_min
+    freq_index_max = test_oms.spectrum_bitmap.freq_index_max
+    freq_availability = test_oms.spectrum_bitmap.bitmap
+
     if requested_n is None:
         # avoid slots reserved on the edge 0.15e-12 on both sides -> 24
         candidates = [(freq_index[i] + requested_m, freq_index[i], freq_index[i] + 2 * requested_m - 1)
@@ -354,23 +357,36 @@ def spectrum_selection(pth, oms_list, requested_m, requested_n=None):
 
         candidate = select_candidate(candidates, policy='first_fit')
     else:
-        i = oms_list[path_oms[0]].spectrum_bitmap.geti(requested_n)
+        i = test_oms.spectrum_bitmap.geti(requested_n)
-        # print(f'N {requested_n} i {i}')
+        if (freq_availability[i - requested_m:i + requested_m] == [1] * (2 * requested_m)
-        # print(freq_availability[i-m:i+m] )
+                and freq_index[i - requested_m] >= freq_index_min
-        # print(freq_index[i-m:i+m])
-        if (freq_availability[i - requested_m:i + requested_m] == [1] * (2 * requested_m) and
-                freq_index[i - requested_m] >= freq_index_min
                 and freq_index[i + requested_m - 1] <= freq_index_max):
             # candidate is the triplet center_n, startn and stopn
             candidate = (requested_n, requested_n - requested_m, requested_n + requested_m - 1)
         else:
             candidate = (None, None, None)
-    return candidate, path_oms
+    return candidate
+
+
+def determine_slot_numbers(test_oms, requested_n, required_m, per_channel_m):
+    """determines max availability around requested_n. requested_n should not be None"""
+    bitmap = test_oms.spectrum_bitmap
+    freq_index = bitmap.freq_index
+    freq_index_min = bitmap.freq_index_min
+    freq_index_max = bitmap.freq_index_max
+    freq_availability = bitmap.bitmap
+    center_i = bitmap.geti(requested_n)
+    i = per_channel_m
+    while (freq_availability[center_i - i:center_i + i] == [1] * (2 * i)
+           and freq_index[center_i - i] >= freq_index_min
+           and freq_index[center_i + i - 1] <= freq_index_max
+           and i <= required_m):
+        i += per_channel_m
+    return i - per_channel_m
 
 
 def select_candidate(candidates, policy):
-    """ selects a candidate among all available spectrum
+    """selects a candidate among all available spectrum"""
-    """
     if policy == 'first_fit':
         if candidates:
             return candidates[0]
@@ -380,44 +396,112 @@ def select_candidate(candidates, policy):
         raise ServiceError('Only first_fit spectrum assignment policy is implemented.')
 
 
+def compute_n_m(required_m, rq, path_oms, oms_list, per_channel_m, policy='first_fit'):
+    """ based on requested path_bandwidth fill in M=None values with uint values, using per_channel_m
+    and center frequency, with first fit strategy. The function checks the available spectrum but check
+    consistencies among M values of the request, but not with other requests.
+    For example, if request is for 32 slots corresponding to 8 x 4 slots of 32Gbauds channels,
+    the following frequency slots will result in the following assignment
+
+    N = 0, 8,    16, 32           -> 0,   8,   16,   32
+    M = 8, None, 8,  None         -> 8,   8,    8,    8
+
+    N = 0,    8,    16, 32        -> 0,   , 16
+    M = None, None, 8,  None      -> 24,  , 8
+    """
+    selected_m = []
+    selected_n = []
+    remaining_slots_to_serve = required_m
+    # order slots for the computation: assign biggest m first
+    rq_N, rq_M, order = order_slots([{'N': n, 'M': m} for n, m in zip(rq.N, rq.M)])
+    # Create an oms that represents current assignments of all oms listed in path_oms, and test N and M on it.
+    # If M is defined, checks that proposed N, M is free
+    test_oms = aggregate_oms_bitmap(path_oms, oms_list)
+    for n, m in zip(rq_N, rq_M):
+        if m is not None and n is not None:
+            # check availabilityfor this n, m
+            available_slots = determine_slot_numbers(test_oms, n, m, m)
+            if available_slots == 0:
+                # if n, m are not feasible, break at this point no have non zero remaining_slots_to_serve
+                # in order to blocks the request (even is other N,M where feasible)
+                break
+        elif m is not None and n is None:
+            # find a candidate n
+            n, _, _ = spectrum_selection(test_oms, m, None)
+            if n is None:
+                # if no n is feasible for the m, block the request
+                break
+        elif m is None and n is not None:
+            # find a feasible m for this n. If None is found, then block the request
+            m = determine_slot_numbers(test_oms, n, remaining_slots_to_serve, per_channel_m)
+            if m == 0 or remaining_slots_to_serve == 0:
+                break
+        else:
+            # if n and m are not defined, try to find a single  assignment to fits the remaining slots to serve
+            # (first fit strategy)
+            n, _, _ = spectrum_selection(test_oms, remaining_slots_to_serve, None)
+            if n is None or remaining_slots_to_serve == 0:
+                break
+            else:
+                m = remaining_slots_to_serve
+        selected_m.append(m)
+        selected_n.append(n)
+        test_oms.assign_spectrum(n, m)
+        remaining_slots_to_serve = remaining_slots_to_serve - m
+
+    # re-order selected_m and selected_n according to initial request N, M order, ignoring None values
+    not_selected = [None for i in range(len(rq_N) - len(selected_n))]
+    selected_m = restore_order(selected_m + not_selected, order)
+    selected_n = restore_order(selected_n + not_selected, order)
+    return selected_n, selected_m, remaining_slots_to_serve
+
+
 def pth_assign_spectrum(pths, rqs, oms_list, rpths):
     """basic first fit assignment
+
     if reversed path are provided, means that occupation is bidir
     """
     for pth, rq, rpth in zip(pths, rqs, rpths):
-        # computes the number of channels required
         if hasattr(rq, 'blocking_reason'):
             rq.N = None
             rq.M = None
         else:
-            nb_wl, requested_m = compute_spectrum_slot_vs_bandwidth(rq.path_bandwidth,
+            # computes the number of channels required for path_bandwidth and the min required nb of slots
+            # for one channel (corresponds to the spacing)
+            nb_wl, required_m = compute_spectrum_slot_vs_bandwidth(rq.path_bandwidth,
                                                                    rq.spacing, rq.bit_rate)
-            if getattr(rq, 'M', None) is not None:
+            _, per_channel_m = compute_spectrum_slot_vs_bandwidth(rq.bit_rate,
-                # Consistency check between the requested M and path_bandwidth
+                                                                  rq.spacing, rq.bit_rate)
-                # M value should be bigger than the computed requested_m (simple estimate)
+            # find oms ids that are concerned both by pth and rpth
-                # TODO: elaborate a more accurate estimate with nb_wl * tx_osnr + possibly guardbands in case of
+            path_oms = build_path_oms_id_list(pth + rpth)
+            if getattr(rq, 'M', None) is not None and all(rq.M):
+                # if all M are well defined: Consistency check that the requested M are enough to carry the nb_wl:
+                # check that the integer number of per_channel_m carried in each M value is enough to carry nb_wl.
+                # if not, blocks the demand
+                nb_channels_of_request = sum([m // per_channel_m for m in rq.M])
+                # TODO: elaborate a more accurate estimate with nb_wl * min_spacing + possibly guardbands in case of
                 # superchannel closed packing.
-                if requested_m > rq.M:
+                if nb_wl > nb_channels_of_request:
                     rq.N = None
                     rq.M = None
                     rq.blocking_reason = 'NOT_ENOUGH_RESERVED_SPECTRUM'
-                    # need to stop here for this request and not go though spectrum selection process with requested_m
+                    # need to stop here for this request and not go though spectrum selection process
                     continue
-                # use the req.M even if requested_m is smaller
+            # Use the req.M even if nb_wl and required_m are smaller.
-                requested_m = rq.M
+            # first fit strategy: assign as many lambda as possible in the None remaining N, M values
-            requested_n = getattr(rq, 'N', None)
+            selected_n, selected_m, remaining_slots_to_serve = \
-            (center_n, startn, stopn), path_oms = spectrum_selection(pth + rpth, oms_list, requested_m,
+                compute_n_m(required_m, rq, path_oms, oms_list, per_channel_m)
-                                                                     requested_n)
+            # if there are some remaining_slots_to_serve, this means that provided rq.M and rq.N values were
-            # if requested n and m concern already occupied spectrum the previous function returns a None candidate
+            # not possible. Then do not go though spectrum assignment process and blocks the demand
-            # if not None, center_n and start, stop frequencies are applicable to all oms of pth
+            if remaining_slots_to_serve > 0:
-            # checks that spectrum is not None else indicate blocking reason
-            if center_n is not None:
-                for oms_elem in path_oms:
-                    oms_list[oms_elem].assign_spectrum(center_n, requested_m)
-                    oms_list[oms_elem].add_service(rq.request_id, nb_wl)
-                rq.N = center_n
-                rq.M = requested_m
-            else:
                 rq.N = None
                 rq.M = None
                 rq.blocking_reason = 'NO_SPECTRUM'
+                continue
+            for oms_elem in path_oms:
+                for this_n, this_m in zip(selected_n, selected_m):
+                    if this_m is not None:
+                        oms_list[oms_elem].assign_spectrum(this_n, this_m)
+                oms_list[oms_elem].add_service(rq.request_id, nb_wl)
+            rq.N = selected_n
+            rq.M = selected_m

requirements.txt

@@ -1,6 +1,11 @@
-matplotlib>=3.5.1,<4
+# matplotlib 3.8 removed support for Python 3.8
-networkx>=2.6,<3
+matplotlib>=3.7.3,<4
-numpy>=1.22.0,<2
+# networkx 3.2 removed support for Python 3.8
-pbr>=5.7.0,<6
+networkx>=3.1,<4
-scipy>=1.7.3,<2
+# numpy 1.25 removed support for Python 3.8
+numpy>=1.24.4,<2
+pbr>=6.0.0,<7
+# scipy 1.11 removed support for Python 3.8
+scipy>=1.10.1,<2
+# xlrd 2.x removed support for .xlsx, it's only .xls now
 xlrd>=1.2.0,<2

setup.cfg

@@ -23,6 +23,7 @@ classifier =
     Programming Language :: Python :: 3.9
     Programming Language :: Python :: 3.10
     Programming Language :: Python :: 3.11
+    Programming Language :: Python :: 3.12
     Programming Language :: Python :: Implementation :: CPython
     Topic :: Scientific/Engineering
     Topic :: Scientific/Engineering :: Physics

tests/data/CORONET_services.json

@@ -0,0 +1,21 @@
+{
+  "path-request": [
+    {
+      "request-id": "0",
+      "source": "trx Abilene",
+      "destination": "trx Albany",
+      "src-tp-id": "trx Abilene",
+      "dst-tp-id": "trx Albany",
+      "bidirectional": false,
+      "path-constraints": {
+        "te-bandwidth": {
+          "technology": "flexi-grid",
+          "trx_type": "Voyager",
+          "trx_mode": "mode 3",
+          "spacing": 62500000000.0,
+          "path_bandwidth": 100000000000.0
+        }
+      }
+    }
+  ]
+}

tests/data/testTopology_response.json

@@ -42,10 +42,12 @@
           {
             "path-route-object": {
               "index": 1,
-              "label-hop": {
+              "label-hop": [
+                {
                   "N": -284,
                   "M": 4
                 }
+              ]
             }
           },
           {
@@ -69,10 +71,12 @@
           {
             "path-route-object": {
               "index": 4,
-              "label-hop": {
+              "label-hop": [
+                {
                   "N": -284,
                   "M": 4
                 }
+              ]
             }
           },
           {
@@ -87,10 +91,12 @@
           {
             "path-route-object": {
               "index": 6,
-              "label-hop": {
+              "label-hop": [
+                {
                   "N": -284,
                   "M": 4
                 }
+              ]
             }
           },
           {
@@ -105,10 +111,12 @@
           {
             "path-route-object": {
               "index": 8,
-              "label-hop": {
+              "label-hop": [
+                {
                   "N": -284,
                   "M": 4
                 }
+              ]
             }
           },
           {
@@ -123,10 +131,12 @@
           {
             "path-route-object": {
               "index": 10,
-              "label-hop": {
+              "label-hop": [
+                {
                   "N": -284,
                   "M": 4
                 }
+              ]
             }
           },
           {
@@ -141,10 +151,12 @@
           {
             "path-route-object": {
               "index": 12,
-              "label-hop": {
+              "label-hop": [
+                {
                   "N": -284,
                   "M": 4
                 }
+              ]
             }
           },
           {
@@ -159,10 +171,12 @@
           {
             "path-route-object": {
               "index": 14,
-              "label-hop": {
+              "label-hop": [
+                {
                   "N": -284,
                   "M": 4
                 }
+              ]
             }
           },
           {
@@ -219,10 +233,12 @@
           {
             "path-route-object": {
               "index": 1,
-              "label-hop": {
+              "label-hop": [
+                {
                   "N": -276,
                   "M": 4
                 }
+              ]
             }
           },
           {
@@ -246,10 +262,12 @@
           {
             "path-route-object": {
               "index": 4,
-              "label-hop": {
+              "label-hop": [
+                {
                   "N": -276,
                   "M": 4
                 }
+              ]
             }
           },
           {
@@ -264,10 +282,12 @@
           {
             "path-route-object": {
               "index": 6,
-              "label-hop": {
+              "label-hop": [
+                {
                   "N": -276,
                   "M": 4
                 }
+              ]
             }
           },
           {
@@ -282,10 +302,12 @@
           {
             "path-route-object": {
               "index": 8,
-              "label-hop": {
+              "label-hop": [
+                {
                   "N": -276,
                   "M": 4
                 }
+              ]
             }
           },
           {
@@ -300,10 +322,12 @@
           {
             "path-route-object": {
               "index": 10,
-              "label-hop": {
+              "label-hop": [
+                {
                   "N": -276,
                   "M": 4
                 }
+              ]
             }
           },
           {
@@ -318,10 +342,12 @@
           {
             "path-route-object": {
               "index": 12,
-              "label-hop": {
+              "label-hop": [
+                {
                   "N": -276,
                   "M": 4
                 }
+              ]
             }
           },
           {
@@ -336,10 +362,12 @@
           {
             "path-route-object": {
               "index": 14,
-              "label-hop": {
+              "label-hop": [
+                {
                   "N": -276,
                   "M": 4
                 }
+              ]
             }
           },
           {
@@ -354,10 +382,12 @@
           {
             "path-route-object": {
               "index": 16,
-              "label-hop": {
+              "label-hop": [
+                {
                   "N": -276,
                   "M": 4
                 }
+              ]
             }
           },
           {
@@ -372,10 +402,12 @@
           {
             "path-route-object": {
               "index": 18,
-              "label-hop": {
+              "label-hop": [
+                {
                   "N": -276,
                   "M": 4
                 }
+              ]
             }
           },
           {
@@ -390,10 +422,12 @@
           {
             "path-route-object": {
               "index": 20,
-              "label-hop": {
+              "label-hop": [
+                {
                   "N": -276,
                   "M": 4
                 }
+              ]
             }
           },
           {
@@ -408,10 +442,12 @@
           {
             "path-route-object": {
               "index": 22,
-              "label-hop": {
+              "label-hop": [
+                {
                   "N": -276,
                   "M": 4
                 }
+              ]
             }
           },
           {
@@ -426,10 +462,12 @@
           {
             "path-route-object": {
               "index": 24,
-              "label-hop": {
+              "label-hop": [
+                {
                   "N": -276,
                   "M": 4
                 }
+              ]
             }
           },
           {
@@ -444,10 +482,12 @@
           {
             "path-route-object": {
               "index": 26,
-              "label-hop": {
+              "label-hop": [
+                {
                   "N": -276,
                   "M": 4
                 }
+              ]
             }
           },
           {
@@ -462,10 +502,12 @@
           {
             "path-route-object": {
               "index": 28,
-              "label-hop": {
+              "label-hop": [
+                {
                   "N": -276,
                   "M": 4
                 }
+              ]
             }
           },
           {
@@ -480,10 +522,12 @@
           {
             "path-route-object": {
               "index": 30,
-              "label-hop": {
+              "label-hop": [
+                {
                   "N": -276,
                   "M": 4
                 }
+              ]
             }
           },
           {
@@ -498,10 +542,12 @@
           {
             "path-route-object": {
               "index": 32,
-              "label-hop": {
+              "label-hop": [
+                {
                   "N": -276,
                   "M": 4
                 }
+              ]
             }
           },
           {
@@ -516,10 +562,12 @@
           {
             "path-route-object": {
               "index": 34,
-              "label-hop": {
+              "label-hop": [
+                {
                   "N": -276,
                   "M": 4
                 }
+              ]
             }
           },
           {
@@ -534,10 +582,12 @@
           {
             "path-route-object": {
               "index": 36,
-              "label-hop": {
+              "label-hop": [
+                {
                   "N": -276,
                   "M": 4
                 }
+              ]
             }
           },
           {
@@ -552,10 +602,12 @@
           {
             "path-route-object": {
               "index": 38,
-              "label-hop": {
+              "label-hop": [
+                {
                   "N": -276,
                   "M": 4
                 }
+              ]
             }
           },
           {
@@ -570,10 +622,12 @@
           {
             "path-route-object": {
               "index": 40,
-              "label-hop": {
+              "label-hop": [
+                {
                   "N": -276,
                   "M": 4
                 }
+              ]
             }
           },
           {
@@ -588,10 +642,12 @@
           {
             "path-route-object": {
               "index": 42,
-              "label-hop": {
+              "label-hop": [
+                {
                   "N": -276,
                   "M": 4
                 }
+              ]
             }
           },
           {
@@ -648,10 +704,12 @@
           {
             "path-route-object": {
               "index": 1,
-              "label-hop": {
+              "label-hop": [
+                {
                   "N": -284,
                   "M": 4
                 }
+              ]
             }
           },
           {
@@ -675,10 +733,12 @@
           {
             "path-route-object": {
               "index": 4,
-              "label-hop": {
+              "label-hop": [
+                {
                   "N": -284,
                   "M": 4
                 }
+              ]
             }
           },
           {
@@ -693,10 +753,12 @@
           {
             "path-route-object": {
               "index": 6,
-              "label-hop": {
+              "label-hop": [
+                {
                   "N": -284,
                   "M": 4
                 }
+              ]
             }
           },
           {
@@ -711,10 +773,12 @@
           {
             "path-route-object": {
               "index": 8,
-              "label-hop": {
+              "label-hop": [
+                {
                   "N": -284,
                   "M": 4
                 }
+              ]
             }
           },
           {
@@ -729,10 +793,12 @@
           {
             "path-route-object": {
               "index": 10,
-              "label-hop": {
+              "label-hop": [
+                {
                   "N": -284,
                   "M": 4
                 }
+              ]
             }
           },
           {
@@ -747,10 +813,12 @@
           {
             "path-route-object": {
               "index": 12,
-              "label-hop": {
+              "label-hop": [
+                {
                   "N": -284,
                   "M": 4
                 }
+              ]
             }
           },
           {
@@ -765,10 +833,12 @@
           {
             "path-route-object": {
               "index": 14,
-              "label-hop": {
+              "label-hop": [
+                {
                   "N": -284,
                   "M": 4
                 }
+              ]
             }
           },
           {
@@ -783,10 +853,12 @@
           {
             "path-route-object": {
               "index": 16,
-              "label-hop": {
+              "label-hop": [
+                {
                   "N": -284,
                   "M": 4
                 }
+              ]
             }
           },
           {
@@ -801,10 +873,12 @@
           {
             "path-route-object": {
               "index": 18,
-              "label-hop": {
+              "label-hop": [
+                {
                   "N": -284,
                   "M": 4
                 }
+              ]
             }
           },
           {
@@ -829,7 +903,7 @@
           },
           {
             "metric-type": "SNR-0.1nm",
-            "accumulative-value": 22.15
+            "accumulative-value": 22.14
           },
           {
             "metric-type": "OSNR-bandwidth",
@@ -861,10 +935,12 @@
           {
             "path-route-object": {
               "index": 1,
-              "label-hop": {
+              "label-hop": [
+                {
                   "N": -266,
                   "M": 6
                 }
+              ]
             }
           },
           {
@@ -888,10 +964,12 @@
           {
             "path-route-object": {
               "index": 4,
-              "label-hop": {
+              "label-hop": [
+                {
                   "N": -266,
                   "M": 6
                 }
+              ]
             }
           },
           {
@@ -906,10 +984,12 @@
           {
             "path-route-object": {
               "index": 6,
-              "label-hop": {
+              "label-hop": [
+                {
                   "N": -266,
                   "M": 6
                 }
+              ]
             }
           },
           {
@@ -924,10 +1004,12 @@
           {
             "path-route-object": {
               "index": 8,
-              "label-hop": {
+              "label-hop": [
+                {
                   "N": -266,
                   "M": 6
                 }
+              ]
             }
           },
           {
@@ -942,10 +1024,12 @@
           {
             "path-route-object": {
               "index": 10,
-              "label-hop": {
+              "label-hop": [
+                {
                   "N": -266,
                   "M": 6
                 }
+              ]
             }
           },
           {
@@ -960,10 +1044,12 @@
           {
             "path-route-object": {
               "index": 12,
-              "label-hop": {
+              "label-hop": [
+                {
                   "N": -266,
                   "M": 6
                 }
+              ]
             }
           },
           {
@@ -978,10 +1064,12 @@
           {
             "path-route-object": {
               "index": 14,
-              "label-hop": {
+              "label-hop": [
+                {
                   "N": -266,
                   "M": 6
                 }
+              ]
             }
           },
           {
@@ -996,10 +1084,12 @@
           {
             "path-route-object": {
               "index": 16,
-              "label-hop": {
+              "label-hop": [
+                {
                   "N": -266,
                   "M": 6
                 }
+              ]
             }
           },
           {
@@ -1014,10 +1104,12 @@
           {
             "path-route-object": {
               "index": 18,
-              "label-hop": {
+              "label-hop": [
+                {
                   "N": -266,
                   "M": 6
                 }
+              ]
             }
           },
           {
@@ -1032,10 +1124,12 @@
           {
             "path-route-object": {
               "index": 20,
-              "label-hop": {
+              "label-hop": [
+                {
                   "N": -266,
                   "M": 6
                 }
+              ]
             }
           },
           {
@@ -1050,10 +1144,12 @@
           {
             "path-route-object": {
               "index": 22,
-              "label-hop": {
+              "label-hop": [
+                {
                   "N": -266,
                   "M": 6
                 }
+              ]
             }
           },
           {
@@ -1068,10 +1164,12 @@
           {
             "path-route-object": {
               "index": 24,
-              "label-hop": {
+              "label-hop": [
+                {
                   "N": -266,
                   "M": 6
                 }
+              ]
             }
           },
           {
@@ -1086,10 +1184,12 @@
           {
             "path-route-object": {
               "index": 26,
-              "label-hop": {
+              "label-hop": [
+                {
                   "N": -266,
                   "M": 6
                 }
+              ]
             }
           },
           {
@@ -1104,10 +1204,12 @@
           {
             "path-route-object": {
               "index": 28,
-              "label-hop": {
+              "label-hop": [
+                {
                   "N": -266,
                   "M": 6
                 }
+              ]
             }
           },
           {
@@ -1122,10 +1224,12 @@
           {
             "path-route-object": {
               "index": 30,
-              "label-hop": {
+              "label-hop": [
+                {
                   "N": -266,
                   "M": 6
                 }
+              ]
             }
           },
           {
@@ -1140,10 +1244,12 @@
           {
             "path-route-object": {
               "index": 32,
-              "label-hop": {
+              "label-hop": [
+                {
                   "N": -266,
                   "M": 6
                 }
+              ]
             }
           },
           {
@@ -1158,10 +1264,12 @@
           {
             "path-route-object": {
               "index": 34,
-              "label-hop": {
+              "label-hop": [
+                {
                   "N": -266,
                   "M": 6
                 }
+              ]
             }
           },
           {
@@ -1176,10 +1284,12 @@
           {
             "path-route-object": {
               "index": 36,
-              "label-hop": {
+              "label-hop": [
+                {
                   "N": -266,
                   "M": 6
                 }
+              ]
             }
           },
           {
@@ -1194,10 +1304,12 @@
           {
             "path-route-object": {
               "index": 38,
-              "label-hop": {
+              "label-hop": [
+                {
                   "N": -266,
                   "M": 6
                 }
+              ]
             }
           },
           {
@@ -1212,10 +1324,12 @@
           {
             "path-route-object": {
               "index": 40,
-              "label-hop": {
+              "label-hop": [
+                {
                   "N": -266,
                   "M": 6
                 }
+              ]
             }
           },
           {
@@ -1230,10 +1344,12 @@
           {
             "path-route-object": {
               "index": 42,
-              "label-hop": {
+              "label-hop": [
+                {
                   "N": -266,
                   "M": 6
                 }
+              ]
             }
           },
           {
@@ -1254,11 +1370,11 @@
         "path-metric": [
           {
             "metric-type": "SNR-bandwidth",
-            "accumulative-value": 21.68
+            "accumulative-value": 21.67
           },
           {
             "metric-type": "SNR-0.1nm",
-            "accumulative-value": 28.78
+            "accumulative-value": 28.76
           },
           {
             "metric-type": "OSNR-bandwidth",
@@ -1290,10 +1406,12 @@
           {
             "path-route-object": {
               "index": 1,
-              "label-hop": {
+              "label-hop": [
+                {
                   "N": -274,
                   "M": 6
                 }
+              ]
             }
           },
           {
@@ -1317,10 +1435,12 @@
           {
             "path-route-object": {
               "index": 4,
-              "label-hop": {
+              "label-hop": [
+                {
                   "N": -274,
                   "M": 6
                 }
+              ]
             }
           },
           {
@@ -1335,10 +1455,12 @@
           {
             "path-route-object": {
               "index": 6,
-              "label-hop": {
+              "label-hop": [
+                {
                   "N": -274,
                   "M": 6
                 }
+              ]
             }
           },
           {
@@ -1353,10 +1475,12 @@
           {
             "path-route-object": {
               "index": 8,
-              "label-hop": {
+              "label-hop": [
+                {
                   "N": -274,
                   "M": 6
                 }
+              ]
             }
           },
           {
@@ -1371,10 +1495,12 @@
           {
             "path-route-object": {
               "index": 10,
-              "label-hop": {
+              "label-hop": [
+                {
                   "N": -274,
                   "M": 6
                 }
+              ]
             }
           },
           {
@@ -1389,10 +1515,12 @@
           {
             "path-route-object": {
               "index": 12,
-              "label-hop": {
+              "label-hop": [
+                {
                   "N": -274,
                   "M": 6
                 }
+              ]
             }
           },
           {
@@ -1407,10 +1535,12 @@
           {
             "path-route-object": {
               "index": 14,
-              "label-hop": {
+              "label-hop": [
+                {
                   "N": -274,
                   "M": 6
                 }
+              ]
             }
           },
           {
@@ -1425,10 +1555,12 @@
           {
             "path-route-object": {
               "index": 16,
-              "label-hop": {
+              "label-hop": [
+                {
                   "N": -274,
                   "M": 6
                 }
+              ]
             }
           },
           {
@@ -1443,10 +1575,12 @@
           {
             "path-route-object": {
               "index": 18,
-              "label-hop": {
+              "label-hop": [
+                {
                   "N": -274,
                   "M": 6
                 }
+              ]
             }
           },
           {

tests/data/testTopology_response_expected.csv

@@ -1,7 +1,7 @@
 response-id,source,destination,path_bandwidth,Pass?,nb of tsp pairs,total cost,transponder-type,transponder-mode,OSNR-0.1nm,SNR-0.1nm,SNR-bandwidth,baud rate (Gbaud),input power (dBm),path,"spectrum (N,M)",reversed path OSNR-0.1nm,reversed path SNR-0.1nm,reversed path SNR-bandwidth
-0,trx Lorient_KMA,trx Vannes_KBE,100.0,True,1,1,Voyager,mode 1,30.84,30.84,26.75,32.0,0.0,trx Lorient_KMA | roadm Lorient_KMA | east edfa in Lorient_KMA to Vannes_KBE | fiber (Lorient_KMA → Vannes_KBE)-F055 | west edfa in Vannes_KBE to Lorient_KMA | roadm Vannes_KBE | trx Vannes_KBE,"-284, 4",,,
+0,trx Lorient_KMA,trx Vannes_KBE,100.0,True,1,1,Voyager,mode 1,30.84,30.84,26.75,32.0,0.0,trx Lorient_KMA | roadm Lorient_KMA | east edfa in Lorient_KMA to Vannes_KBE | fiber (Lorient_KMA → Vannes_KBE)-F055 | west edfa in Vannes_KBE to Lorient_KMA | roadm Vannes_KBE | trx Vannes_KBE,"[-284], [4]",,,
-1,trx Brest_KLA,trx Vannes_KBE,10.0,True,1,1,Voyager,mode 1,22.65,22.11,18.03,32.0,1.0,trx Brest_KLA | roadm Brest_KLA | east edfa in Brest_KLA to Morlaix | fiber (Brest_KLA → Morlaix)-F060 | east fused spans in Morlaix | fiber (Morlaix → Lannion_CAS)-F059 | west edfa in Lannion_CAS to Morlaix | roadm Lannion_CAS | east edfa in Lannion_CAS to Corlay | fiber (Lannion_CAS → Corlay)-F061 | west fused spans in Corlay | fiber (Corlay → Loudeac)-F010 | west fused spans in Loudeac | fiber (Loudeac → Lorient_KMA)-F054 | west edfa in Lorient_KMA to Loudeac | roadm Lorient_KMA | east edfa in Lorient_KMA to Vannes_KBE | fiber (Lorient_KMA → Vannes_KBE)-F055 | west edfa in Vannes_KBE to Lorient_KMA | roadm Vannes_KBE | trx Vannes_KBE,"-276, 4",,,
+1,trx Brest_KLA,trx Vannes_KBE,10.0,True,1,1,Voyager,mode 1,22.65,22.11,18.03,32.0,1.0,trx Brest_KLA | roadm Brest_KLA | east edfa in Brest_KLA to Morlaix | fiber (Brest_KLA → Morlaix)-F060 | east fused spans in Morlaix | fiber (Morlaix → Lannion_CAS)-F059 | west edfa in Lannion_CAS to Morlaix | roadm Lannion_CAS | east edfa in Lannion_CAS to Corlay | fiber (Lannion_CAS → Corlay)-F061 | west fused spans in Corlay | fiber (Corlay → Loudeac)-F010 | west fused spans in Loudeac | fiber (Loudeac → Lorient_KMA)-F054 | west edfa in Lorient_KMA to Loudeac | roadm Lorient_KMA | east edfa in Lorient_KMA to Vannes_KBE | fiber (Lorient_KMA → Vannes_KBE)-F055 | west edfa in Vannes_KBE to Lorient_KMA | roadm Vannes_KBE | trx Vannes_KBE,"[-276], [4]",,,
-3,trx Lannion_CAS,trx Rennes_STA,60.0,True,1,1,vendorA_trx-type1,mode 1,28.29,25.85,21.77,32.0,1.0,trx Lannion_CAS | roadm Lannion_CAS | east edfa in Lannion_CAS to Stbrieuc | fiber (Lannion_CAS → Stbrieuc)-F056 | east edfa in Stbrieuc to Rennes_STA | fiber (Stbrieuc → Rennes_STA)-F057 | west edfa in Rennes_STA to Stbrieuc | roadm Rennes_STA | trx Rennes_STA,"-284, 4",,,
+3,trx Lannion_CAS,trx Rennes_STA,60.0,True,1,1,vendorA_trx-type1,mode 1,28.29,25.85,21.77,32.0,1.0,trx Lannion_CAS | roadm Lannion_CAS | east edfa in Lannion_CAS to Stbrieuc | fiber (Lannion_CAS → Stbrieuc)-F056 | east edfa in Stbrieuc to Rennes_STA | fiber (Stbrieuc → Rennes_STA)-F057 | west edfa in Rennes_STA to Stbrieuc | roadm Rennes_STA | trx Rennes_STA,"[-284], [4]",,,
-4,trx Rennes_STA,trx Lannion_CAS,150.0,True,1,1,vendorA_trx-type1,mode 2,22.27,22.15,15.05,64.0,0.0,trx Rennes_STA | roadm Rennes_STA | east edfa in Rennes_STA to Ploermel | fiber (Rennes_STA → Ploermel)- | east edfa in Ploermel to Vannes_KBE | fiber (Ploermel → Vannes_KBE)- | west edfa in Vannes_KBE to Ploermel | roadm Vannes_KBE | east edfa in Vannes_KBE to Lorient_KMA | fiber (Vannes_KBE → Lorient_KMA)-F055 | west edfa in Lorient_KMA to Vannes_KBE | roadm Lorient_KMA | east edfa in Lorient_KMA to Loudeac | fiber (Lorient_KMA → Loudeac)-F054 | east fused spans in Loudeac | fiber (Loudeac → Corlay)-F010 | east fused spans in Corlay | fiber (Corlay → Lannion_CAS)-F061 | west edfa in Lannion_CAS to Corlay | roadm Lannion_CAS | trx Lannion_CAS,"-266, 6",,,
+4,trx Rennes_STA,trx Lannion_CAS,150.0,True,1,1,vendorA_trx-type1,mode 2,22.27,22.14,15.05,64.0,0.0,trx Rennes_STA | roadm Rennes_STA | east edfa in Rennes_STA to Ploermel | fiber (Rennes_STA → Ploermel)- | east edfa in Ploermel to Vannes_KBE | fiber (Ploermel → Vannes_KBE)- | west edfa in Vannes_KBE to Ploermel | roadm Vannes_KBE | east edfa in Vannes_KBE to Lorient_KMA | fiber (Vannes_KBE → Lorient_KMA)-F055 | west edfa in Lorient_KMA to Vannes_KBE | roadm Lorient_KMA | east edfa in Lorient_KMA to Loudeac | fiber (Lorient_KMA → Loudeac)-F054 | east fused spans in Loudeac | fiber (Loudeac → Corlay)-F010 | east fused spans in Corlay | fiber (Corlay → Lannion_CAS)-F061 | west edfa in Lannion_CAS to Corlay | roadm Lannion_CAS | trx Lannion_CAS,"[-266], [6]",,,
-5,trx Rennes_STA,trx Lannion_CAS,20.0,True,1,1,vendorA_trx-type1,mode 2,30.79,28.78,21.68,64.0,3.0,trx Rennes_STA | roadm Rennes_STA | east edfa in Rennes_STA to Stbrieuc | fiber (Rennes_STA → Stbrieuc)-F057 | west edfa in Stbrieuc to Rennes_STA | fiber (Stbrieuc → Lannion_CAS)-F056 | west edfa in Lannion_CAS to Stbrieuc | roadm Lannion_CAS | trx Lannion_CAS,"-274, 6",,,
+5,trx Rennes_STA,trx Lannion_CAS,20.0,True,1,1,vendorA_trx-type1,mode 2,30.79,28.76,21.67,64.0,3.0,trx Rennes_STA | roadm Rennes_STA | east edfa in Rennes_STA to Stbrieuc | fiber (Rennes_STA → Stbrieuc)-F057 | west edfa in Stbrieuc to Rennes_STA | fiber (Stbrieuc → Lannion_CAS)-F056 | west edfa in Lannion_CAS to Stbrieuc | roadm Lannion_CAS | trx Lannion_CAS,"[-274], [6]",,,
 6,,,,NO_PATH,,,,,,,,,,,,,,

tests/data/test_fiber_fix_expected_results.csv

@@ -1,97 +1,97 @@
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tests/data/test_fiber_flex_expected_results.csv

@@ -1,6 +1,6 @@
 signal,nli
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tests/data/test_old_parameters_fiber_config.json

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+}

tests/data/test_parameters_fiber_config.json

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+8.77022482135352e-05,1.743532764682425e-08,7.780383887402493e-08
-82,82,7.703011159024537e-05,1.5088552513719166e-08,6.495585139392737e-08
+8.634156228069215e-05,1.7266686393258476e-08,7.659672513140668e-08
-83,83,7.587286701386211e-05,1.494078021244127e-08,6.398000175307732e-08
+8.50043874741986e-05,1.7099693224424935e-08,7.541046895998541e-08
-84,84,7.483848702669918e-05,1.481852757489104e-08,6.310775801171533e-08
+8.381694660770028e-05,1.6962933489525264e-08,7.43570471865261e-08
-85,85,7.382059659354297e-05,1.4697575551136038e-08,6.224941913167962e-08
+8.26484651987276e-05,1.682764479561346e-08,7.33204450340972e-08
-86,86,7.281889798107282e-05,1.4577917663325962e-08,6.140473404853674e-08
+8.149860566615124e-05,1.6693821025332528e-08,7.230036302225977e-08
-87,87,7.183165666349203e-05,1.4459532716368791e-08,6.057224011868445e-08
+8.036532369463753e-05,1.6561436760581683e-08,7.129498756488483e-08
-88,88,7.08586484091438e-05,1.4342415672865158e-08,5.975174825816752e-08
+7.924836834130927e-05,1.6430487594212236e-08,7.030409604146297e-08
-89,89,6.989965271824705e-05,1.422656189652791e-08,5.8943072529944956e-08
+7.814749266035204e-05,1.6300969571299207e-08,6.932746937742372e-08
-90,90,6.895445267562359e-05,1.411196715686287e-08,5.814603001970201e-08
+7.706245353522453e-05,1.6172879193985398e-08,6.836489189528336e-08
-91,91,6.802197391413278e-05,1.3998609279853771e-08,5.735971476442124e-08
+7.599203524832233e-05,1.6046190191322708e-08,6.741528508795074e-08
-92,92,6.710204336793658e-05,1.3886485591019257e-08,5.6583980825863337e-08
+7.493604414299442e-05,1.5920900877281144e-08,6.647847715560108e-08
-93,93,6.619449037899918e-05,1.3775593851234834e-08,5.581868429617485e-08
+7.389428911314724e-05,1.57970100612018e-08,6.555429856110159e-08
-94,94,6.515268324911003e-05,1.3628882565600955e-08,5.494017759648076e-08
+7.268136514077581e-05,1.5628904744452727e-08,6.447826980203191e-08
-95,95,6.412720169535454e-05,1.3483606920728348e-08,5.407543748332493e-08
+7.148784598320314e-05,1.5462487634551132e-08,6.341945575654982e-08

tests/invocation/logs_path_request

@@ -0,0 +1,37 @@
+INFO     gnpy.tools.cli_examples:cli_examples.py Computing path requests meshTopologyExampleV2.xls into JSON format
+INFO     gnpy.tools.json_io:json_io.py Automatically converting requests from XLS to JSON
+INFO     gnpy.topology.request:request.py 
+	request 0
+	Computing path from trx Lorient_KMA to trx Vannes_KBE
+	with path constraint: ['trx Lorient_KMA', 'trx Vannes_KBE']
+	Computed path (roadms):['roadm Lorient_KMA', 'roadm Vannes_KBE']
+INFO     gnpy.topology.request:request.py 
+	request 1
+	Computing path from trx Brest_KLA to trx Vannes_KBE
+	with path constraint: ['trx Brest_KLA', 'roadm Brest_KLA', 'roadm Lannion_CAS', 'roadm Lorient_KMA', 'roadm Vannes_KBE', 'trx Vannes_KBE']
+	Computed path (roadms):['roadm Brest_KLA', 'roadm Lannion_CAS', 'roadm Lorient_KMA', 'roadm Vannes_KBE']
+INFO     gnpy.topology.request:request.py 
+	request 3
+	Computing path from trx Lannion_CAS to trx Rennes_STA
+	with path constraint: ['trx Lannion_CAS', 'trx Rennes_STA']
+	Computed path (roadms):['roadm Lannion_CAS', 'roadm Rennes_STA']
+INFO     gnpy.topology.request:request.py 
+	request 4
+	Computing path from trx Rennes_STA to trx Lannion_CAS
+	with path constraint: ['trx Rennes_STA', 'trx Lannion_CAS']
+	Computed path (roadms):['roadm Rennes_STA', 'roadm Vannes_KBE', 'roadm Lorient_KMA', 'roadm Lannion_CAS']
+INFO     gnpy.topology.request:request.py 
+	request 5
+	Computing path from trx Rennes_STA to trx Lannion_CAS
+	with path constraint: ['trx Rennes_STA', 'trx Lannion_CAS']
+	Computed path (roadms):['roadm Rennes_STA', 'roadm Lannion_CAS']
+INFO     gnpy.topology.request:request.py 
+	request 7 | 6
+	Computing path from trx Lannion_CAS to trx Lorient_KMA
+	with path constraint: ['trx Lannion_CAS', 'trx Lorient_KMA']
+	Computed path (roadms):['roadm Lannion_CAS', 'roadm Lorient_KMA']
+INFO     gnpy.topology.request:request.py 
+	request 7b
+	Computing path from trx Lannion_CAS to trx Lorient_KMA
+	with path constraint: ['trx Lannion_CAS', 'trx Lorient_KMA']
+	Computed path (roadms):['roadm Lannion_CAS', 'roadm Lorient_KMA']

tests/invocation/logs_path_requests_run_CD_PMD_PDL_missing

@@ -0,0 +1,13 @@
+INFO     gnpy.tools.cli_examples:cli_examples.py Computing path requests CORONET_services.json into JSON format
+INFO     gnpy.topology.request:request.py 
+	request 0
+	Computing path from trx Abilene to trx Albany
+	with path constraint: ['trx Abilene', 'trx Albany']
+	Computed path (roadms):['roadm Abilene', 'roadm Dallas', 'roadm Little_Rock', 'roadm Memphis', 'roadm Nashville', 'roadm Louisville', 'roadm Cincinnati', 'roadm Columbus', 'roadm Cleveland', 'roadm Buffalo', 'roadm Rochester', 'roadm Syracuse', 'roadm Albany']
+WARNING  gnpy.topology.request:request.py 	Warning! Request 0 computed path from trx Abilene to trx Albany does not pass with mode 3
+	computed SNR in 0.1nm = 14.44
+	PDL penalty not evaluated
+	CD penalty not evaluated
+	PMD penalty not evaluated
+	required osnr = 18
+	system margin = 2

tests/invocation/logs_transmission_saturated

@@ -0,0 +1,307 @@
+INFO     gnpy.tools.cli_examples:cli_examples.py source = 'lannion'
+INFO     gnpy.tools.cli_examples:cli_examples.py destination = 'lorient'
+WARNING  gnpy.core.network:network.py 
+	WARNING: target gain and power in node west edfa in Lorient_KMA to Loudeac
+	is beyond all available amplifiers capabilities and/or extended_gain_range:
+	a power reduction of -1.82 is applied
+
+WARNING  gnpy.core.network:network.py 
+	WARNING: effective gain in Node east edfa in Lannion_CAS to Stbrieuc
+	is above user specified amplifier std_low_gain
+	max flat gain: 16dB ; required gain: 23.0dB. Please check amplifier type.
+
+WARNING  gnpy.core.network:network.py 
+	WARNING: target gain and power in node west edfa in Rennes_STA to Stbrieuc
+	is beyond all available amplifiers capabilities and/or extended_gain_range:
+	a power reduction of -1.82 is applied
+
+WARNING  gnpy.core.network:network.py 
+	WARNING: effective gain in Node east edfa in Lannion_CAS to Morlaix
+	is above user specified amplifier std_low_gain
+	max flat gain: 16dB ; required gain: 23.5dB. Please check amplifier type.
+
+WARNING  gnpy.core.network:network.py 
+	WARNING: target gain and power in node west edfa in Brest_KLA to Morlaix
+	is beyond all available amplifiers capabilities and/or extended_gain_range:
+	a power reduction of -1.82 is applied
+
+WARNING  gnpy.core.network:network.py 
+	WARNING: target gain and power in node east edfa in Lorient_KMA to Loudeac
+	is beyond all available amplifiers capabilities and/or extended_gain_range:
+	a power reduction of -1.82 is applied
+
+WARNING  gnpy.core.network:network.py 
+	WARNING: effective gain in Node west edfa in Lannion_CAS to Corlay
+	is above user specified amplifier test
+	max flat gain: 25dB ; required gain: 29.82dB. Please check amplifier type.
+
+WARNING  gnpy.core.network:network.py 
+	WARNING: target gain and power in node east edfa in Lorient_KMA to Vannes_KBE
+	is beyond all available amplifiers capabilities and/or extended_gain_range:
+	a power reduction of -1.82 is applied
+
+WARNING  gnpy.core.network:network.py 
+	WARNING: target gain and power in node west edfa in Vannes_KBE to Lorient_KMA
+	is beyond all available amplifiers capabilities and/or extended_gain_range:
+	a power reduction of -1.82 is applied
+
+WARNING  gnpy.core.network:network.py 
+	WARNING: target gain and power in node east edfa in Lorient_KMA to Quimper
+	is beyond all available amplifiers capabilities and/or extended_gain_range:
+	a power reduction of -1.82 is applied
+
+WARNING  gnpy.core.network:network.py 
+	WARNING: target gain and power in node west edfa in Quimper to Lorient_KMA
+	is beyond all available amplifiers capabilities and/or extended_gain_range:
+	a power reduction of -1.82 is applied
+
+WARNING  gnpy.core.network:network.py 
+	WARNING: target gain and power in node west edfa in Brest_KLA to Quimper
+	is beyond all available amplifiers capabilities and/or extended_gain_range:
+	a power reduction of -1.82 is applied
+
+WARNING  gnpy.core.network:network.py 
+	WARNING: target gain and power in node east edfa in Vannes_KBE to Lorient_KMA
+	is beyond all available amplifiers capabilities and/or extended_gain_range:
+	a power reduction of -1.82 is applied
+
+WARNING  gnpy.core.network:network.py 
+	WARNING: target gain and power in node west edfa in Lorient_KMA to Vannes_KBE
+	is beyond all available amplifiers capabilities and/or extended_gain_range:
+	a power reduction of -1.82 is applied
+
+WARNING  gnpy.core.network:network.py 
+	WARNING: target gain and power in node east edfa in Vannes_KBE to Ploermel
+	is beyond all available amplifiers capabilities and/or extended_gain_range:
+	a power reduction of -1.82 is applied
+
+WARNING  gnpy.core.network:network.py 
+	WARNING: target gain and power in node west edfa in Ploermel to Vannes_KBE
+	is beyond all available amplifiers capabilities and/or extended_gain_range:
+	a power reduction of -1.82 is applied
+
+WARNING  gnpy.core.network:network.py 
+	WARNING: target gain and power in node west edfa in Rennes_STA to Ploermel
+	is beyond all available amplifiers capabilities and/or extended_gain_range:
+	a power reduction of -1.82 is applied
+
+WARNING  gnpy.core.network:network.py 
+	WARNING: target gain and power in node east edfa in Rennes_STA to Stbrieuc
+	is beyond all available amplifiers capabilities and/or extended_gain_range:
+	a power reduction of -1.82 is applied
+
+WARNING  gnpy.core.network:network.py 
+	WARNING: target gain and power in node west edfa in Stbrieuc to Rennes_STA
+	is beyond all available amplifiers capabilities and/or extended_gain_range:
+	a power reduction of -1.82 is applied
+
+WARNING  gnpy.core.network:network.py 
+	WARNING: target gain and power in node west edfa in Lannion_CAS to Stbrieuc
+	is beyond all available amplifiers capabilities and/or extended_gain_range:
+	a power reduction of -1.82 is applied
+
+WARNING  gnpy.core.network:network.py 
+	WARNING: target gain and power in node east edfa in Rennes_STA to Ploermel
+	is beyond all available amplifiers capabilities and/or extended_gain_range:
+	a power reduction of -1.82 is applied
+
+WARNING  gnpy.core.network:network.py 
+	WARNING: target gain and power in node west edfa in Vannes_KBE to Ploermel
+	is beyond all available amplifiers capabilities and/or extended_gain_range:
+	a power reduction of -1.82 is applied
+
+WARNING  gnpy.core.network:network.py 
+	WARNING: target gain and power in node east edfa in Brest_KLA to Morlaix
+	is beyond all available amplifiers capabilities and/or extended_gain_range:
+	a power reduction of -1.82 is applied
+
+WARNING  gnpy.core.network:network.py 
+	WARNING: effective gain in Node east edfa in Brest_KLA to Quimper
+	is above user specified amplifier std_low_gain
+	max flat gain: 16dB ; required gain: 23.0dB. Please check amplifier type.
+
+WARNING  gnpy.core.network:network.py 
+	WARNING: target gain and power in node east edfa in Quimper to Lorient_KMA
+	is beyond all available amplifiers capabilities and/or extended_gain_range:
+	a power reduction of -1.82 is applied
+
+WARNING  gnpy.core.network:network.py 
+	WARNING: target gain and power in node west edfa in Lorient_KMA to Quimper
+	is beyond all available amplifiers capabilities and/or extended_gain_range:
+	a power reduction of -1.82 is applied
+
+WARNING  gnpy.core.network:network.py 
+	WARNING: target gain and power in node east edfa in a to b
+	is beyond all available amplifiers capabilities and/or extended_gain_range:
+	a power reduction of -1.82 is applied
+
+WARNING  gnpy.core.network:network.py 
+	WARNING: target gain and power in node west edfa in b to a
+	is beyond all available amplifiers capabilities and/or extended_gain_range:
+	a power reduction of -1.82 is applied
+
+WARNING  gnpy.core.network:network.py 
+	WARNING: target gain and power in node east edfa in a to c
+	is beyond all available amplifiers capabilities and/or extended_gain_range:
+	a power reduction of -1.82 is applied
+
+WARNING  gnpy.core.network:network.py 
+	WARNING: target gain and power in node west edfa in c to a
+	is beyond all available amplifiers capabilities and/or extended_gain_range:
+	a power reduction of -1.82 is applied
+
+WARNING  gnpy.core.network:network.py 
+	WARNING: target gain and power in node east edfa in b to a
+	is beyond all available amplifiers capabilities and/or extended_gain_range:
+	a power reduction of -1.82 is applied
+
+WARNING  gnpy.core.network:network.py 
+	WARNING: target gain and power in node west edfa in a to b
+	is beyond all available amplifiers capabilities and/or extended_gain_range:
+	a power reduction of -1.82 is applied
+
+WARNING  gnpy.core.network:network.py 
+	WARNING: target gain and power in node east edfa in b to f
+	is beyond all available amplifiers capabilities and/or extended_gain_range:
+	a power reduction of -1.82 is applied
+
+WARNING  gnpy.core.network:network.py 
+	WARNING: target gain and power in node west edfa in f to b
+	is beyond all available amplifiers capabilities and/or extended_gain_range:
+	a power reduction of -1.82 is applied
+
+WARNING  gnpy.core.network:network.py 
+	WARNING: target gain and power in node east edfa in c to a
+	is beyond all available amplifiers capabilities and/or extended_gain_range:
+	a power reduction of -1.82 is applied
+
+WARNING  gnpy.core.network:network.py 
+	WARNING: target gain and power in node west edfa in a to c
+	is beyond all available amplifiers capabilities and/or extended_gain_range:
+	a power reduction of -1.82 is applied
+
+WARNING  gnpy.core.network:network.py 
+	WARNING: target gain and power in node west edfa in d to c
+	is beyond all available amplifiers capabilities and/or extended_gain_range:
+	a power reduction of -1.82 is applied
+
+WARNING  gnpy.core.network:network.py 
+	WARNING: target gain and power in node east edfa in c to f
+	is beyond all available amplifiers capabilities and/or extended_gain_range:
+	a power reduction of -1.82 is applied
+
+WARNING  gnpy.core.network:network.py 
+	WARNING: target gain and power in node west edfa in f to c
+	is beyond all available amplifiers capabilities and/or extended_gain_range:
+	a power reduction of -1.82 is applied
+
+WARNING  gnpy.core.network:network.py 
+	WARNING: target gain and power in node east edfa in d to c
+	is beyond all available amplifiers capabilities and/or extended_gain_range:
+	a power reduction of -1.82 is applied
+
+WARNING  gnpy.core.network:network.py 
+	WARNING: target gain and power in node west edfa in c to d
+	is beyond all available amplifiers capabilities and/or extended_gain_range:
+	a power reduction of -1.82 is applied
+
+WARNING  gnpy.core.network:network.py 
+	WARNING: target gain and power in node east edfa in d to e
+	is beyond all available amplifiers capabilities and/or extended_gain_range:
+	a power reduction of -1.82 is applied
+
+WARNING  gnpy.core.network:network.py 
+	WARNING: target gain and power in node west edfa in e to d
+	is beyond all available amplifiers capabilities and/or extended_gain_range:
+	a power reduction of -1.82 is applied
+
+WARNING  gnpy.core.network:network.py 
+	WARNING: target gain and power in node east edfa in e to d
+	is beyond all available amplifiers capabilities and/or extended_gain_range:
+	a power reduction of -1.82 is applied
+
+WARNING  gnpy.core.network:network.py 
+	WARNING: target gain and power in node west edfa in d to e
+	is beyond all available amplifiers capabilities and/or extended_gain_range:
+	a power reduction of -1.82 is applied
+
+WARNING  gnpy.core.network:network.py 
+	WARNING: target gain and power in node east edfa in e to g
+	is beyond all available amplifiers capabilities and/or extended_gain_range:
+	a power reduction of -1.82 is applied
+
+WARNING  gnpy.core.network:network.py 
+	WARNING: target gain and power in node west edfa in g to e
+	is beyond all available amplifiers capabilities and/or extended_gain_range:
+	a power reduction of -1.82 is applied
+
+WARNING  gnpy.core.network:network.py 
+	WARNING: target gain and power in node east edfa in f to c
+	is beyond all available amplifiers capabilities and/or extended_gain_range:
+	a power reduction of -1.82 is applied
+
+WARNING  gnpy.core.network:network.py 
+	WARNING: target gain and power in node west edfa in c to f
+	is beyond all available amplifiers capabilities and/or extended_gain_range:
+	a power reduction of -1.82 is applied
+
+WARNING  gnpy.core.network:network.py 
+	WARNING: target gain and power in node east edfa in f to b
+	is beyond all available amplifiers capabilities and/or extended_gain_range:
+	a power reduction of -1.82 is applied
+
+WARNING  gnpy.core.network:network.py 
+	WARNING: target gain and power in node west edfa in b to f
+	is beyond all available amplifiers capabilities and/or extended_gain_range:
+	a power reduction of -1.82 is applied
+
+WARNING  gnpy.core.network:network.py 
+	WARNING: target gain and power in node east edfa in f to h
+	is beyond all available amplifiers capabilities and/or extended_gain_range:
+	a power reduction of -1.82 is applied
+
+WARNING  gnpy.core.network:network.py 
+	WARNING: target gain and power in node west edfa in h to f
+	is beyond all available amplifiers capabilities and/or extended_gain_range:
+	a power reduction of -1.82 is applied
+
+WARNING  gnpy.core.network:network.py 
+	WARNING: target gain and power in node east edfa in g to e
+	is beyond all available amplifiers capabilities and/or extended_gain_range:
+	a power reduction of -1.82 is applied
+
+WARNING  gnpy.core.network:network.py 
+	WARNING: target gain and power in node west edfa in e to g
+	is beyond all available amplifiers capabilities and/or extended_gain_range:
+	a power reduction of -1.82 is applied
+
+WARNING  gnpy.core.network:network.py 
+	WARNING: target gain and power in node east edfa in g to h
+	is beyond all available amplifiers capabilities and/or extended_gain_range:
+	a power reduction of -1.82 is applied
+
+WARNING  gnpy.core.network:network.py 
+	WARNING: target gain and power in node west edfa in h to g
+	is beyond all available amplifiers capabilities and/or extended_gain_range:
+	a power reduction of -1.82 is applied
+
+WARNING  gnpy.core.network:network.py 
+	WARNING: target gain and power in node east edfa in h to f
+	is beyond all available amplifiers capabilities and/or extended_gain_range:
+	a power reduction of -1.82 is applied
+
+WARNING  gnpy.core.network:network.py 
+	WARNING: target gain and power in node west edfa in f to h
+	is beyond all available amplifiers capabilities and/or extended_gain_range:
+	a power reduction of -1.82 is applied
+
+WARNING  gnpy.core.network:network.py 
+	WARNING: target gain and power in node east edfa in h to g
+	is beyond all available amplifiers capabilities and/or extended_gain_range:
+	a power reduction of -1.82 is applied
+
+WARNING  gnpy.core.network:network.py 
+	WARNING: target gain and power in node west edfa in g to h
+	is beyond all available amplifiers capabilities and/or extended_gain_range:
+	a power reduction of -1.82 is applied
+

tests/invocation/openroadm-v4-Stockholm-Gothenburg

@@ -15,6 +15,7 @@ Transceiver trx_Stockholm
   CD (ps/nm):                0.00
   PMD (ps):                  0.00
   PDL (dB):                  0.00
+  Latency (ms):              0.00
 Roadm roadm_Stockholm
   effective loss (dB):     22.00
   reference pch out (dBm): -20.00
@@ -64,7 +65,7 @@ Fiber          fiber (Stockholm → Norrköping)_(2/2)
   (includes conn loss (dB) in: 0.00 out: 0.00)
   (conn loss out includes EOL margin defined in eqpt_config.json)
   reference pch out (dBm):     -14.33
-  actual pch out (dBm):        -14.30
+  actual pch out (dBm):        -14.29
 Edfa Edfa_preamp_roadm_Norrköping_from_fiber (Stockholm → Norrköping)_(2/2)
   type_variety:           openroadm_mw_mw_preamp
   effective gain(dB):     16.33
@@ -248,16 +249,17 @@ Roadm roadm_Gothenburg
   reference pch out (dBm): -20.00
   actual pch out (dBm):    -20.00
 Transceiver trx_Gothenburg
-  GSNR (0.1nm, dB):          18.90
+  GSNR (0.1nm, dB):          18.89
-  GSNR (signal bw, dB):      14.88
+  GSNR (signal bw, dB):      14.86
   OSNR ASE (0.1nm, dB):      21.20
   OSNR ASE (signal bw, dB):  17.18
   CD (ps/nm):                8350.42
   PMD (ps):                  7.99
   PDL (dB):                  3.74
+  Latency (ms):              2.45
 
 Transmission result for input power = 2.00 dBm:
-  Final GSNR (0.1 nm): 18.90 dB
+  Final GSNR (0.1 nm): 18.89 dB
 
 (No source node specified: picked trx_Stockholm)
 

tests/invocation/openroadm-v5-Stockholm-Gothenburg

@@ -15,6 +15,7 @@ Transceiver trx_Stockholm
   CD (ps/nm):                0.00
   PMD (ps):                  0.00
   PDL (dB):                  0.00
+  Latency (ms):              0.00
 Roadm roadm_Stockholm
   effective loss (dB):     22.00
   reference pch out (dBm): -20.00
@@ -64,7 +65,7 @@ Fiber          fiber (Stockholm → Norrköping)_(2/2)
   (includes conn loss (dB) in: 0.00 out: 0.00)
   (conn loss out includes EOL margin defined in eqpt_config.json)
   reference pch out (dBm):     -14.33
-  actual pch out (dBm):        -14.30
+  actual pch out (dBm):        -14.29
 Edfa Edfa_preamp_roadm_Norrköping_from_fiber (Stockholm → Norrköping)_(2/2)
   type_variety:           openroadm_mw_mw_preamp_worstcase_ver5
   effective gain(dB):     16.33
@@ -248,16 +249,17 @@ Roadm roadm_Gothenburg
   reference pch out (dBm): -20.00
   actual pch out (dBm):    -20.00
 Transceiver trx_Gothenburg
-  GSNR (0.1nm, dB):          19.27
+  GSNR (0.1nm, dB):          19.25
-  GSNR (signal bw, dB):      15.24
+  GSNR (signal bw, dB):      15.23
   OSNR ASE (0.1nm, dB):      21.84
   OSNR ASE (signal bw, dB):  17.82
   CD (ps/nm):                8350.42
   PMD (ps):                  7.99
   PDL (dB):                  3.74
+  Latency (ms):              2.45
 
 Transmission result for input power = 2.00 dBm:
-  Final GSNR (0.1 nm): 19.27 dB
+  Final GSNR (0.1 nm): 19.25 dB
 
 (No source node specified: picked trx_Stockholm)
 

tests/invocation/path_requests_run

@@ -106,48 +106,13 @@
 ]
 Computing all paths with constraints
 Propagating on selected path
-request 0
-Computing path from trx Lorient_KMA to trx Vannes_KBE
-with path constraint: ['trx Lorient_KMA', 'trx Vannes_KBE']
-Computed path (roadms):['roadm Lorient_KMA', 'roadm Vannes_KBE']
-
-request 1
-Computing path from trx Brest_KLA to trx Vannes_KBE
-with path constraint: ['trx Brest_KLA', 'roadm Brest_KLA', 'roadm Lannion_CAS', 'roadm Lorient_KMA', 'roadm Vannes_KBE', 'trx Vannes_KBE']
-Computed path (roadms):['roadm Brest_KLA', 'roadm Lannion_CAS', 'roadm Lorient_KMA', 'roadm Vannes_KBE']
-
-request 3
-Computing path from trx Lannion_CAS to trx Rennes_STA
-with path constraint: ['trx Lannion_CAS', 'trx Rennes_STA']
-Computed path (roadms):['roadm Lannion_CAS', 'roadm Rennes_STA']
-
-request 4
-Computing path from trx Rennes_STA to trx Lannion_CAS
-with path constraint: ['trx Rennes_STA', 'trx Lannion_CAS']
-Computed path (roadms):['roadm Rennes_STA', 'roadm Vannes_KBE', 'roadm Lorient_KMA', 'roadm Lannion_CAS']
-
-request 5
-Computing path from trx Rennes_STA to trx Lannion_CAS
-with path constraint: ['trx Rennes_STA', 'trx Lannion_CAS']
-Computed path (roadms):['roadm Rennes_STA', 'roadm Lannion_CAS']
-
-request 7 | 6
-Computing path from trx Lannion_CAS to trx Lorient_KMA
-with path constraint: ['trx Lannion_CAS', 'trx Lorient_KMA']
-Computed path (roadms):['roadm Lannion_CAS', 'roadm Lorient_KMA']
-
-request 7b
-Computing path from trx Lannion_CAS to trx Lorient_KMA
-with path constraint: ['trx Lannion_CAS', 'trx Lorient_KMA']
-Computed path (roadms):['roadm Lannion_CAS', 'roadm Lorient_KMA']
-
 Result summary
 req id   demand                                GSNR@bandwidth A-Z (Z-A)   GSNR@0.1nm A-Z (Z-A)        Receiver minOSNR               mode                    Gbit/s              nb of tsp pairs      N,M or blocking reason 
-0       trx Lorient_KMA to trx Vannes_KBE :             24.83                    28.92                      14                     mode 1                   100.0                      1                     (-284,4)        
+0       trx Lorient_KMA to trx Vannes_KBE :             24.83                    28.92                      14                     mode 1                   100.0                      1                   ([-284],[4])      
-1       trx Brest_KLA to trx Vannes_KBE :               17.75                    21.83                      14                     mode 1                   200.0                      2                     (-272,8)        
+1       trx Brest_KLA to trx Vannes_KBE :               17.74                    21.82                      14                     mode 1                   200.0                      2                   ([-272],[8])      
-3       trx Lannion_CAS to trx Rennes_STA :             22.21                    26.29                      13                     mode 1                    60.0                      1                     (-284,4)        
+3       trx Lannion_CAS to trx Rennes_STA :             22.19                    26.28                      13                     mode 1                    60.0                      1                   ([-284],[4])      
-4       trx Rennes_STA to trx Lannion_CAS :             16.06                    23.29                      17                     mode 2                   150.0                      1                     (-258,6)        
+4       trx Rennes_STA to trx Lannion_CAS :             16.06                    23.29                      17                     mode 2                   150.0                      1                   ([-258],[6])      
-5       trx Rennes_STA to trx Lannion_CAS :             20.31                    27.54                      17                     mode 2                    20.0                      1                     (-274,6)        
+5       trx Rennes_STA to trx Lannion_CAS :              20.3                    27.53                      17                     mode 2                    20.0                      1                   ([-274],[6])      
-7 | 6   trx Lannion_CAS to trx Lorient_KMA :            19.52                    23.61                      14                     mode 1                   700.0                      7                    (-224,28)        
+7 | 6   trx Lannion_CAS to trx Lorient_KMA :            19.52                    23.61                      14                     mode 1                   700.0                      7                  ([-224],[28])      
-7b      trx Lannion_CAS to trx Lorient_KMA :            19.61                    23.69                      14                     mode 1                   400.0                      4                    (-172,24)        
+7b      trx Lannion_CAS to trx Lorient_KMA :            19.61                    23.69                      14                     mode 1                   400.0                      4                  ([-172],[24])      
 Result summary shows mean GSNR and OSNR (average over all channels)

tests/invocation/path_requests_run_CD_PMD_PDL_missing

@@ -0,0 +1,24 @@
+List of disjunctions
+[]
+Aggregating similar requests
+The following services have been requested:
+[PathRequest 0
+	source: 	trx Abilene
+	destination:	trx Albany
+	trx type:	Voyager
+	trx mode:	mode 3
+	baud_rate:	44.0 Gbaud
+	bit_rate:	300.0 Gb/s
+	spacing:	62.50000000000001 GHz
+	power:  	0.0 dBm
+	nb channels: 	76
+	path_bandwidth: 	100.0 Gbit/s
+	nodes-list:	[]
+	loose-list:	[]
+]
+Computing all paths with constraints
+Propagating on selected path
+Result summary
+req id   demand                       GSNR@bandwidth A-Z (Z-A)   GSNR@0.1nm A-Z (Z-A)        Receiver minOSNR               mode                    Gbit/s              nb of tsp pairs      N,M or blocking reason 
+0       trx Abilene to trx Albany :             9.04                     14.5                      -                      mode 3                   100.0                      -                MODE_NOT_FEASIBLE    
+Result summary shows mean GSNR and OSNR (average over all channels)

tests/invocation/spectrum1_transmission_main_example

@@ -16,6 +16,7 @@ Transceiver trx Lannion_CAS
   CD (ps/nm):                0.00
   PMD (ps):                  0.00
   PDL (dB):                  0.00
+  Latency (ms):              0.00
 Roadm roadm Lannion_CAS
   effective loss (dB):     20.00
   reference pch out (dBm): -20.00
@@ -85,12 +86,13 @@ Roadm roadm Lorient_KMA
   actual pch out (dBm):    -20.00
 Transceiver trx Lorient_KMA
   GSNR (0.1nm, dB):          23.61
-  GSNR (signal bw, dB):      19.52
+  GSNR (signal bw, dB):      19.53
   OSNR ASE (0.1nm, dB):      23.89
   OSNR ASE (signal bw, dB):  19.81
   CD (ps/nm):                2171.00
   PMD (ps):                  0.46
   PDL (dB):                  0.00
+  Latency (ms):              0.64
 
 Transmission result for input power = 0.00 dBm:
   Final GSNR (0.1 nm): 23.61 dB

tests/invocation/spectrum2_transmission_main_example

@@ -16,6 +16,7 @@ Transceiver trx Lannion_CAS
   CD (ps/nm):                0.00
   PMD (ps):                  0.00
   PDL (dB):                  0.00
+  Latency (ms):              0.00
 Roadm roadm Lannion_CAS
   effective loss (dB):     20.00
   reference pch out (dBm): -20.00
@@ -84,79 +85,80 @@ Roadm roadm Lorient_KMA
   reference pch out (dBm): -20.00
   actual pch out (dBm):    mode_1: -20.00, mode_2: -20.00
 Transceiver trx Lorient_KMA
-  GSNR (0.1nm, dB):          mode_1: 23.65, mode_2: 23.81
+  GSNR (0.1nm, dB):          mode_1: 23.66, mode_2: 23.81
-  GSNR (signal bw, dB):      mode_1: 19.57, mode_2: 16.72
+  GSNR (signal bw, dB):      mode_1: 19.58, mode_2: 16.72
   OSNR ASE (0.1nm, dB):      mode_1: 23.91, mode_2: 23.87
   OSNR ASE (signal bw, dB):  mode_1: 19.83, mode_2: 16.78
   CD (ps/nm):                2171.00
   PMD (ps):                  0.46
   PDL (dB):                  0.00
+  Latency (ms):              0.64
 
 Transmission result for input power = 0.00 dBm:
   Final GSNR (0.1 nm): 23.72 dB
 
 The GSNR per channel at the end of the line is:
 Ch. #   Channel frequency (THz)       Channel power (dBm)    OSNR ASE (signal bw, dB)     SNR NLI (signal bw, dB)        GSNR (signal bw, dB)
-    1                 191.40000                    -20.04                       19.85                       33.30                       19.65
+    1                 191.40000                    -20.04                       19.85                       33.52                       19.66
-    2                 191.45000                    -20.04                       19.85                       32.70                       19.63
+    2                 191.45000                    -20.04                       19.85                       32.93                       19.64
-    3                 191.50000                    -20.04                       19.84                       32.45                       19.61
+    3                 191.50000                    -20.04                       19.84                       32.67                       19.62
-    4                 191.55000                    -20.04                       19.84                       32.29                       19.60
+    4                 191.55000                    -20.04                       19.84                       32.50                       19.61
-    5                 191.60000                    -20.04                       19.84                       32.18                       19.60
+    5                 191.60000                    -20.04                       19.84                       32.39                       19.61
-    6                 191.65000                    -20.04                       19.84                       32.10                       19.59
+    6                 191.65000                    -20.04                       19.84                       32.30                       19.60
-    7                 191.70000                    -20.04                       19.84                       32.03                       19.59
+    7                 191.70000                    -20.04                       19.84                       32.22                       19.60
-    8                 191.75000                    -20.04                       19.84                       31.98                       19.58
+    8                 191.75000                    -20.04                       19.84                       32.16                       19.59
-    9                 191.80000                    -20.04                       19.84                       31.93                       19.58
+    9                 191.80000                    -20.04                       19.84                       32.11                       19.59
-   10                 191.85000                    -20.04                       19.84                       31.90                       19.57
+   10                 191.85000                    -20.04                       19.84                       32.07                       19.59
-   11                 191.90000                    -20.04                       19.84                       31.86                       19.57
+   11                 191.90000                    -20.04                       19.84                       32.04                       19.58
-   12                 191.95000                    -20.04                       19.84                       31.84                       19.57
+   12                 191.95000                    -20.04                       19.84                       32.00                       19.58
-   13                 192.00000                    -20.04                       19.83                       31.82                       19.57
+   13                 192.00000                    -20.04                       19.83                       31.98                       19.58
-   14                 192.05000                    -20.04                       19.83                       31.80                       19.57
+   14                 192.05000                    -20.04                       19.83                       31.95                       19.57
-   15                 192.10000                    -20.04                       19.83                       31.78                       19.56
+   15                 192.10000                    -20.04                       19.83                       31.93                       19.57
-   16                 192.15000                    -20.04                       19.83                       31.77                       19.56
+   16                 192.15000                    -20.04                       19.83                       31.91                       19.57
-   17                 192.20000                    -20.04                       19.83                       31.76                       19.56
+   17                 192.20000                    -20.04                       19.83                       31.90                       19.57
-   18                 192.25000                    -20.04                       19.83                       31.75                       19.56
+   18                 192.25000                    -20.04                       19.83                       31.88                       19.57
-   19                 192.30000                    -20.04                       19.83                       31.75                       19.56
+   19                 192.30000                    -20.04                       19.83                       31.87                       19.56
-   20                 192.35000                    -20.04                       19.83                       31.75                       19.56
+   20                 192.35000                    -20.04                       19.83                       31.87                       19.56
-   21                 192.40000                    -20.05                       19.83                       31.75                       19.56
+   21                 192.40000                    -20.04                       19.83                       31.86                       19.56
-   22                 192.45000                    -20.05                       19.82                       31.75                       19.55
+   22                 192.45000                    -20.04                       19.82                       31.86                       19.56
-   23                 192.50000                    -20.05                       19.82                       31.76                       19.55
+   23                 192.50000                    -20.04                       19.82                       31.86                       19.56
-   24                 192.55000                    -20.05                       19.82                       31.76                       19.55
+   24                 192.55000                    -20.04                       19.82                       31.86                       19.56
-   25                 192.60000                    -20.05                       19.82                       31.78                       19.55
+   25                 192.60000                    -20.04                       19.82                       31.87                       19.56
-   26                 192.65000                    -20.05                       19.82                       31.79                       19.55
+   26                 192.65000                    -20.04                       19.82                       31.88                       19.56
-   27                 192.70000                    -20.05                       19.82                       31.81                       19.55
+   27                 192.70000                    -20.04                       19.82                       31.89                       19.56
-   28                 192.75000                    -20.05                       19.82                       31.83                       19.55
+   28                 192.75000                    -20.04                       19.82                       31.91                       19.56
-   29                 192.80000                    -20.05                       19.82                       31.86                       19.55
+   29                 192.80000                    -20.04                       19.82                       31.93                       19.56
-   30                 192.85000                    -20.05                       19.82                       31.90                       19.56
+   30                 192.85000                    -20.04                       19.82                       31.97                       19.56
-   31                 192.90000                    -20.04                       19.82                       31.95                       19.56
+   31                 192.90000                    -20.04                       19.82                       32.01                       19.56
-   32                 192.95000                    -20.04                       19.81                       32.02                       19.56
+   32                 192.95000                    -20.04                       19.81                       32.07                       19.56
-   33                 193.00000                    -20.04                       19.81                       32.11                       19.56
+   33                 193.00000                    -20.04                       19.81                       32.16                       19.57
-   34                 193.05000                    -20.04                       19.81                       32.27                       19.57
+   34                 193.05000                    -20.04                       19.81                       32.31                       19.57
-   35                 193.10000                    -20.04                       19.81                       32.61                       19.59
+   35                 193.10000                    -20.04                       19.81                       32.65                       19.59
-   36                 193.16250                    -20.09                       16.80                       33.70                       16.71
+   36                 193.16250                    -20.09                       16.80                       33.73                       16.71
-   37                 193.23750                    -20.09                       16.80                       34.20                       16.72
+   37                 193.23750                    -20.09                       16.80                       34.22                       16.72
-   38                 193.31250                    -20.09                       16.80                       34.45                       16.72
+   38                 193.31250                    -20.09                       16.80                       34.47                       16.72
-   39                 193.38750                    -20.09                       16.79                       34.62                       16.72
+   39                 193.38750                    -20.09                       16.79                       34.63                       16.72
    40                 193.46250                    -20.09                       16.79                       34.75                       16.72
-   41                 193.53750                    -20.09                       16.79                       34.85                       16.72
+   41                 193.53750                    -20.09                       16.79                       34.84                       16.72
-   42                 193.61250                    -20.09                       16.79                       34.94                       16.72
+   42                 193.61250                    -20.09                       16.79                       34.92                       16.72
-   43                 193.68750                    -20.09                       16.79                       35.02                       16.72
+   43                 193.68750                    -20.09                       16.79                       34.99                       16.72
-   44                 193.76250                    -20.09                       16.79                       35.08                       16.72
+   44                 193.76250                    -20.09                       16.79                       35.04                       16.72
-   45                 193.83750                    -20.09                       16.78                       35.15                       16.72
+   45                 193.83750                    -20.09                       16.78                       35.10                       16.72
-   46                 193.91250                    -20.09                       16.78                       35.20                       16.72
+   46                 193.91250                    -20.09                       16.78                       35.15                       16.72
-   47                 193.98750                    -20.09                       16.78                       35.26                       16.72
+   47                 193.98750                    -20.09                       16.78                       35.19                       16.72
-   48                 194.06250                    -20.09                       16.78                       35.31                       16.72
+   48                 194.06250                    -20.09                       16.78                       35.24                       16.72
-   49                 194.13750                    -20.09                       16.78                       35.36                       16.72
+   49                 194.13750                    -20.09                       16.78                       35.28                       16.72
-   50                 194.21250                    -20.09                       16.78                       35.41                       16.72
+   50                 194.21250                    -20.09                       16.78                       35.33                       16.72
-   51                 194.28750                    -20.09                       16.78                       35.47                       16.72
+   51                 194.28750                    -20.09                       16.78                       35.37                       16.72
-   52                 194.36250                    -20.09                       16.77                       35.52                       16.72
+   52                 194.36250                    -20.09                       16.77                       35.42                       16.72
-   53                 194.43750                    -20.09                       16.77                       35.58                       16.72
+   53                 194.43750                    -20.09                       16.77                       35.47                       16.71
-   54                 194.51250                    -20.09                       16.77                       35.65                       16.71
+   54                 194.51250                    -20.09                       16.77                       35.53                       16.71
-   55                 194.58750                    -20.09                       16.77                       35.72                       16.71
+   55                 194.58750                    -20.09                       16.77                       35.59                       16.71
-   56                 194.66250                    -20.09                       16.77                       35.81                       16.71
+   56                 194.66250                    -20.09                       16.77                       35.67                       16.71
-   57                 194.73750                    -20.09                       16.77                       35.92                       16.71
+   57                 194.73750                    -20.09                       16.77                       35.77                       16.71
-   58                 194.81250                    -20.09                       16.76                       36.06                       16.71
+   58                 194.81250                    -20.09                       16.76                       35.90                       16.71
-   59                 194.88750                    -20.09                       16.76                       36.27                       16.71
+   59                 194.88750                    -20.09                       16.76                       36.11                       16.71
-   60                 194.96250                    -20.09                       16.76                       36.75                       16.72
+   60                 194.96250                    -20.09                       16.76                       36.58                       16.72
 
 (No source node specified: picked trx Lannion_CAS)
 

tests/invocation/transmission_main_example

@@ -15,6 +15,7 @@ Transceiver Site_A
   CD (ps/nm):                0.00
   PMD (ps):                  0.00
   PDL (dB):                  0.00
+  Latency (ms):              0.00
 Fiber          Span1
   type_variety:                SSMF
   length (km):                 80.00
@@ -39,16 +40,17 @@ Edfa Edfa1
   actual pch out (dBm):   -1.99
   output VOA (dB):        0.00
 Transceiver Site_B
-  GSNR (0.1nm, dB):          31.17
+  GSNR (0.1nm, dB):          31.18
-  GSNR (signal bw, dB):      27.09
+  GSNR (signal bw, dB):      27.10
   OSNR ASE (0.1nm, dB):      33.30
   OSNR ASE (signal bw, dB):  29.21
   CD (ps/nm):                1336.00
   PMD (ps):                  0.36
   PDL (dB):                  0.00
+  Latency (ms):              0.39
 
 Transmission result for input power = 0.00 dBm:
-  Final GSNR (0.1 nm): 31.17 dB
+  Final GSNR (0.1 nm): 31.18 dB
 
 (No source node specified: picked Site_A)
 

tests/invocation/transmission_main_example__raman

@@ -15,6 +15,7 @@ Transceiver Site_A
   CD (ps/nm):                0.00
   PMD (ps):                  0.00
   PDL (dB):                  0.00
+  Latency (ms):              0.00
 RamanFiber          Span1
   type_variety:                SSMF
   length (km):                 80.00
@@ -22,18 +23,18 @@ RamanFiber          Span1
   total loss (dB):             17.00
   (includes conn loss (dB) in: 0.50 out: 0.50)
   (conn loss out includes EOL margin defined in eqpt_config.json)
-  reference pch out (dBm):     -7.77
+  reference pch out (dBm):     -7.20
-  actual pch out (dBm):        -8.03
+  actual pch out (dBm):        -7.47
 Fused Fused1
   loss (dB): 0.00
 Edfa Edfa1
   type_variety:           std_low_gain
-  effective gain(dB):     5.77
+  effective gain(dB):     5.20
   (before att_in and before output VOA)
-  noise figure (dB):      13.23
+  noise figure (dB):      13.80
   (including att_in)
-  pad att_in (dB):        2.23
+  pad att_in (dB):        2.80
-  Power In (dBm):         11.04
+  Power In (dBm):         11.61
   Power Out (dBm):        16.81
   Delta_P (dB):           -2.00
   target pch (dBm):       -2.00
@@ -41,95 +42,96 @@ Edfa Edfa1
   actual pch out (dBm):   -2.26
   output VOA (dB):        0.00
 Transceiver Site_B
-  GSNR (0.1nm, dB):          31.44
+  GSNR (0.1nm, dB):          31.42
-  GSNR (signal bw, dB):      27.36
+  GSNR (signal bw, dB):      27.34
   OSNR ASE (0.1nm, dB):      34.21
   OSNR ASE (signal bw, dB):  30.13
   CD (ps/nm):                1336.00
   PMD (ps):                  0.36
   PDL (dB):                  0.00
+  Latency (ms):              0.39
 
 Transmission result for input power = 0.00 dBm:
-  Final GSNR (0.1 nm): 31.44 dB
+  Final GSNR (0.1 nm): 31.42 dB
 
 The GSNR per channel at the end of the line is:
 Ch. #   Channel frequency (THz)       Channel power (dBm)    OSNR ASE (signal bw, dB)     SNR NLI (signal bw, dB)        GSNR (signal bw, dB)
-    1                 191.35000                      0.21                       31.62                       31.43                       28.52
+    1                 191.35000                      0.22                       31.64                       31.55                       28.58
-    2                 191.40000                      0.17                       31.60                       31.35                       28.46
+    2                 191.40000                      0.18                       31.62                       31.46                       28.53
-    3                 191.45000                      0.13                       31.58                       31.26                       28.41
+    3                 191.45000                      0.15                       31.60                       31.37                       28.47
-    4                 191.50000                      0.09                       31.56                       31.18                       28.36
+    4                 191.50000                      0.11                       31.58                       31.28                       28.42
-    5                 191.55000                      0.03                       31.53                       31.10                       28.30
+    5                 191.55000                      0.05                       31.54                       31.20                       28.36
-    6                 191.60000                     -0.02                       31.50                       31.02                       28.24
+    6                 191.60000                     -0.01                       31.51                       31.11                       28.30
-    7                 191.65000                     -0.08                       31.46                       30.94                       28.19
+    7                 191.65000                     -0.07                       31.48                       31.03                       28.24
-    8                 191.70000                     -0.14                       31.43                       30.87                       28.13
+    8                 191.70000                     -0.12                       31.45                       30.95                       28.18
-    9                 191.75000                     -0.20                       31.40                       30.79                       28.08
+    9                 191.75000                     -0.18                       31.42                       30.87                       28.13
-   10                 191.80000                     -0.27                       31.37                       30.72                       28.02
+   10                 191.80000                     -0.25                       31.38                       30.79                       28.07
-   11                 191.85000                     -0.33                       31.33                       30.65                       27.97
+   11                 191.85000                     -0.31                       31.35                       30.72                       28.01
-   12                 191.90000                     -0.40                       31.29                       30.58                       27.91
+   12                 191.90000                     -0.38                       31.31                       30.64                       27.95
-   13                 191.95000                     -0.46                       31.26                       30.51                       27.86
+   13                 191.95000                     -0.44                       31.27                       30.57                       27.90
-   14                 192.00000                     -0.53                       31.22                       30.44                       27.80
+   14                 192.00000                     -0.51                       31.24                       30.50                       27.84
-   15                 192.05000                     -0.59                       31.18                       30.37                       27.75
+   15                 192.05000                     -0.58                       31.20                       30.42                       27.78
-   16                 192.10000                     -0.66                       31.15                       30.30                       27.69
+   16                 192.10000                     -0.64                       31.16                       30.35                       27.73
-   17                 192.15000                     -0.73                       31.11                       30.24                       27.64
+   17                 192.15000                     -0.71                       31.12                       30.29                       27.67
-   18                 192.20000                     -0.80                       31.07                       30.17                       27.59
+   18                 192.20000                     -0.78                       31.08                       30.22                       27.62
-   19                 192.25000                     -0.86                       31.03                       30.18                       27.57
+   19                 192.25000                     -0.85                       31.04                       30.22                       27.60
-   20                 192.30000                     -0.94                       30.99                       30.19                       27.56
+   20                 192.30000                     -0.93                       31.00                       30.22                       27.58
-   21                 192.35000                     -1.02                       30.94                       30.20                       27.54
+   21                 192.35000                     -1.00                       30.96                       30.23                       27.57
-   22                 192.40000                     -1.09                       30.90                       30.20                       27.53
+   22                 192.40000                     -1.08                       30.91                       30.23                       27.55
-   23                 192.45000                     -1.17                       30.86                       30.21                       27.51
+   23                 192.45000                     -1.16                       30.87                       30.23                       27.53
-   24                 192.50000                     -1.24                       30.81                       30.22                       27.50
+   24                 192.50000                     -1.23                       30.82                       30.24                       27.51
-   25                 192.55000                     -1.31                       30.77                       30.23                       27.48
+   25                 192.55000                     -1.30                       30.78                       30.24                       27.49
-   26                 192.60000                     -1.38                       30.73                       30.23                       27.46
+   26                 192.60000                     -1.37                       30.74                       30.24                       27.47
-   27                 192.65000                     -1.45                       30.69                       30.24                       27.45
+   27                 192.65000                     -1.44                       30.70                       30.25                       27.46
-   28                 192.70000                     -1.52                       30.65                       30.25                       27.43
+   28                 192.70000                     -1.52                       30.65                       30.25                       27.44
-   29                 192.75000                     -1.59                       30.60                       30.26                       27.42
+   29                 192.75000                     -1.59                       30.61                       30.25                       27.42
-   30                 192.80000                     -1.67                       30.56                       30.27                       27.40
+   30                 192.80000                     -1.66                       30.57                       30.26                       27.40
-   31                 192.85000                     -1.74                       30.52                       30.27                       27.38
+   31                 192.85000                     -1.73                       30.52                       30.26                       27.38
-   32                 192.90000                     -1.81                       30.47                       30.28                       27.37
+   32                 192.90000                     -1.80                       30.48                       30.26                       27.36
-   33                 192.95000                     -1.88                       30.43                       30.29                       27.35
+   33                 192.95000                     -1.87                       30.43                       30.27                       27.34
-   34                 193.00000                     -1.95                       30.39                       30.30                       27.33
+   34                 193.00000                     -1.94                       30.39                       30.27                       27.32
-   35                 193.05000                     -2.02                       30.34                       30.30                       27.31
+   35                 193.05000                     -2.01                       30.35                       30.27                       27.30
-   36                 193.10000                     -2.08                       30.30                       30.31                       27.30
+   36                 193.10000                     -2.08                       30.30                       30.28                       27.28
-   37                 193.15000                     -2.15                       30.26                       30.32                       27.28
+   37                 193.15000                     -2.15                       30.26                       30.28                       27.26
-   38                 193.20000                     -2.22                       30.21                       30.34                       27.26
+   38                 193.20000                     -2.22                       30.22                       30.29                       27.24
-   39                 193.25000                     -2.29                       30.17                       30.36                       27.25
+   39                 193.25000                     -2.29                       30.17                       30.31                       27.23
-   40                 193.30000                     -2.36                       30.13                       30.37                       27.24
+   40                 193.30000                     -2.36                       30.13                       30.32                       27.21
-   41                 193.35000                     -2.43                       30.08                       30.39                       27.22
+   41                 193.35000                     -2.43                       30.08                       30.33                       27.19
-   42                 193.40000                     -2.50                       30.04                       30.41                       27.21
+   42                 193.40000                     -2.50                       30.04                       30.35                       27.18
-   43                 193.45000                     -2.56                       29.99                       30.43                       27.19
+   43                 193.45000                     -2.56                       29.99                       30.36                       27.16
-   44                 193.50000                     -2.63                       29.95                       30.44                       27.18
+   44                 193.50000                     -2.63                       29.95                       30.37                       27.14
-   45                 193.55000                     -2.70                       29.90                       30.46                       27.16
+   45                 193.55000                     -2.71                       29.90                       30.39                       27.12
-   46                 193.60000                     -2.78                       29.85                       30.48                       27.15
+   46                 193.60000                     -2.78                       29.85                       30.40                       27.11
-   47                 193.65000                     -2.85                       29.80                       30.50                       27.13
+   47                 193.65000                     -2.85                       29.80                       30.41                       27.09
-   48                 193.70000                     -2.92                       29.76                       30.52                       27.11
+   48                 193.70000                     -2.93                       29.75                       30.43                       27.07
-   49                 193.75000                     -2.99                       29.71                       30.54                       27.09
+   49                 193.75000                     -3.00                       29.70                       30.44                       27.05
-   50                 193.80000                     -3.06                       29.66                       30.55                       27.07
+   50                 193.80000                     -3.07                       29.65                       30.45                       27.02
-   51                 193.85000                     -3.14                       29.61                       30.57                       27.06
+   51                 193.85000                     -3.15                       29.60                       30.47                       27.00
-   52                 193.90000                     -3.21                       29.56                       30.59                       27.04
+   52                 193.90000                     -3.22                       29.55                       30.48                       26.98
-   53                 193.95000                     -3.28                       29.52                       30.61                       27.02
+   53                 193.95000                     -3.29                       29.50                       30.50                       26.96
-   54                 194.00000                     -3.35                       29.47                       30.63                       27.00
+   54                 194.00000                     -3.37                       29.45                       30.51                       26.94
-   55                 194.05000                     -3.42                       29.42                       30.65                       26.98
+   55                 194.05000                     -3.44                       29.40                       30.52                       26.92
-   56                 194.10000                     -3.50                       29.37                       30.67                       26.96
+   56                 194.10000                     -3.52                       29.35                       30.54                       26.89
-   57                 194.15000                     -3.57                       29.32                       30.72                       26.95
+   57                 194.15000                     -3.59                       29.30                       30.59                       26.89
-   58                 194.20000                     -3.64                       29.26                       30.78                       26.95
+   58                 194.20000                     -3.66                       29.25                       30.64                       26.88
-   59                 194.25000                     -3.72                       29.21                       30.84                       26.94
+   59                 194.25000                     -3.74                       29.19                       30.70                       26.87
-   60                 194.30000                     -3.79                       29.16                       30.90                       26.94
+   60                 194.30000                     -3.81                       29.14                       30.75                       26.86
-   61                 194.35000                     -3.86                       29.11                       30.96                       26.93
+   61                 194.35000                     -3.89                       29.09                       30.81                       26.86
-   62                 194.40000                     -3.93                       29.06                       31.02                       26.92
+   62                 194.40000                     -3.96                       29.04                       30.87                       26.85
-   63                 194.45000                     -4.01                       29.01                       31.09                       26.91
+   63                 194.45000                     -4.04                       28.98                       30.93                       26.84
-   64                 194.50000                     -4.08                       28.96                       31.15                       26.91
+   64                 194.50000                     -4.11                       28.93                       30.98                       26.83
-   65                 194.55000                     -4.14                       28.91                       31.21                       26.90
+   65                 194.55000                     -4.18                       28.88                       31.04                       26.82
-   66                 194.60000                     -4.21                       28.86                       31.28                       26.90
+   66                 194.60000                     -4.25                       28.83                       31.10                       26.81
-   67                 194.65000                     -4.27                       28.82                       31.34                       26.89
+   67                 194.65000                     -4.31                       28.78                       31.17                       26.80
-   68                 194.70000                     -4.34                       28.77                       31.41                       26.88
+   68                 194.70000                     -4.38                       28.74                       31.23                       26.79
-   69                 194.75000                     -4.41                       28.72                       31.48                       26.88
+   69                 194.75000                     -4.45                       28.69                       31.29                       26.79
-   70                 194.80000                     -4.47                       28.67                       31.55                       26.87
+   70                 194.80000                     -4.51                       28.64                       31.35                       26.78
-   71                 194.85000                     -4.54                       28.63                       31.62                       26.86
+   71                 194.85000                     -4.58                       28.59                       31.42                       26.77
-   72                 194.90000                     -4.60                       28.58                       31.69                       26.85
+   72                 194.90000                     -4.65                       28.54                       31.48                       26.76
-   73                 194.95000                     -4.67                       28.53                       31.76                       26.84
+   73                 194.95000                     -4.71                       28.49                       31.55                       26.74
-   74                 195.00000                     -4.73                       28.48                       31.84                       26.83
+   74                 195.00000                     -4.78                       28.44                       31.62                       26.73
-   75                 195.05000                     -4.80                       28.43                       31.91                       26.82
+   75                 195.05000                     -4.85                       28.39                       31.69                       26.72
-   76                 195.10000                     -4.86                       28.38                       31.91                       26.79
+   76                 195.10000                     -4.91                       28.34                       31.69                       26.69
 
 (No source node specified: picked Site_A)
 

tests/invocation/transmission_main_example_long

@@ -15,6 +15,7 @@ Transceiver Site_A
   CD (ps/nm):                0.00
   PMD (ps):                  0.00
   PDL (dB):                  0.00
+  Latency (ms):              0.00
 Roadm roadm Site A
   effective loss (dB):     20.00
   reference pch out (dBm): -20.00
@@ -182,7 +183,7 @@ Edfa Edfa6
   noise figure (dB):      9.00
   (including att_in)
   pad att_in (dB):        4.00
-  Power In (dBm):         3.83
+  Power In (dBm):         3.84
   Power Out (dBm):        19.84
   Delta_P (dB):           0.00
   target pch (dBm):       0.00
@@ -437,16 +438,17 @@ Roadm roadm Site B
   reference pch out (dBm): -20.00
   actual pch out (dBm):    -20.00
 Transceiver Site_B
-  GSNR (0.1nm, dB):          17.85
+  GSNR (0.1nm, dB):          17.84
-  GSNR (signal bw, dB):      13.77
+  GSNR (signal bw, dB):      13.76
   OSNR ASE (0.1nm, dB):      19.70
   OSNR ASE (signal bw, dB):  15.62
   CD (ps/nm):                20040.00
   PMD (ps):                  1.39
   PDL (dB):                  0.00
+  Latency (ms):              5.88
 
 Transmission result for input power = 0.00 dBm:
-  Final GSNR (0.1 nm): 17.85 dB
+  Final GSNR (0.1 nm): 17.84 dB
 
 (No source node specified: picked Site_A)
 

tests/invocation/transmission_saturated

@@ -1,242 +1,6 @@
 There are 96 channels propagating
 Power mode is set to True
 => it can be modified in eqpt_config.json - Span
-WARNING: target gain and power in node west edfa in Lorient_KMA to Loudeac
-     is beyond all available amplifiers capabilities and/or extended_gain_range:
-    a power reduction of -1.82 is applied
-
-WARNING: WARNING: effective gain in Node east edfa in Lannion_CAS to Stbrieuc is above user specified amplifier std_low_gain
-max flat gain: 16dB ; required gain: 23.0dB. Please check amplifier type.
-WARNING: target gain and power in node west edfa in Rennes_STA to Stbrieuc
-     is beyond all available amplifiers capabilities and/or extended_gain_range:
-    a power reduction of -1.82 is applied
-
-WARNING: WARNING: effective gain in Node east edfa in Lannion_CAS to Morlaix is above user specified amplifier std_low_gain
-max flat gain: 16dB ; required gain: 23.5dB. Please check amplifier type.
-WARNING: target gain and power in node west edfa in Brest_KLA to Morlaix
-     is beyond all available amplifiers capabilities and/or extended_gain_range:
-    a power reduction of -1.82 is applied
-
-WARNING: target gain and power in node east edfa in Lorient_KMA to Loudeac
-     is beyond all available amplifiers capabilities and/or extended_gain_range:
-    a power reduction of -1.82 is applied
-
-WARNING: WARNING: effective gain in Node west edfa in Lannion_CAS to Corlay is above user specified amplifier test
-max flat gain: 25dB ; required gain: 29.82dB. Please check amplifier type.
-WARNING: target gain and power in node east edfa in Lorient_KMA to Vannes_KBE
-     is beyond all available amplifiers capabilities and/or extended_gain_range:
-    a power reduction of -1.82 is applied
-
-WARNING: target gain and power in node west edfa in Vannes_KBE to Lorient_KMA
-     is beyond all available amplifiers capabilities and/or extended_gain_range:
-    a power reduction of -1.82 is applied
-
-WARNING: target gain and power in node east edfa in Lorient_KMA to Quimper
-     is beyond all available amplifiers capabilities and/or extended_gain_range:
-    a power reduction of -1.82 is applied
-
-WARNING: target gain and power in node west edfa in Quimper to Lorient_KMA
-     is beyond all available amplifiers capabilities and/or extended_gain_range:
-    a power reduction of -1.82 is applied
-
-WARNING: target gain and power in node west edfa in Brest_KLA to Quimper
-     is beyond all available amplifiers capabilities and/or extended_gain_range:
-    a power reduction of -1.82 is applied
-
-WARNING: target gain and power in node east edfa in Vannes_KBE to Lorient_KMA
-     is beyond all available amplifiers capabilities and/or extended_gain_range:
-    a power reduction of -1.82 is applied
-
-WARNING: target gain and power in node west edfa in Lorient_KMA to Vannes_KBE
-     is beyond all available amplifiers capabilities and/or extended_gain_range:
-    a power reduction of -1.82 is applied
-
-WARNING: target gain and power in node east edfa in Vannes_KBE to Ploermel
-     is beyond all available amplifiers capabilities and/or extended_gain_range:
-    a power reduction of -1.82 is applied
-
-WARNING: target gain and power in node west edfa in Ploermel to Vannes_KBE
-     is beyond all available amplifiers capabilities and/or extended_gain_range:
-    a power reduction of -1.82 is applied
-
-WARNING: target gain and power in node west edfa in Rennes_STA to Ploermel
-     is beyond all available amplifiers capabilities and/or extended_gain_range:
-    a power reduction of -1.82 is applied
-
-WARNING: target gain and power in node east edfa in Rennes_STA to Stbrieuc
-     is beyond all available amplifiers capabilities and/or extended_gain_range:
-    a power reduction of -1.82 is applied
-
-WARNING: target gain and power in node west edfa in Stbrieuc to Rennes_STA
-     is beyond all available amplifiers capabilities and/or extended_gain_range:
-    a power reduction of -1.82 is applied
-
-WARNING: target gain and power in node west edfa in Lannion_CAS to Stbrieuc
-     is beyond all available amplifiers capabilities and/or extended_gain_range:
-    a power reduction of -1.82 is applied
-
-WARNING: target gain and power in node east edfa in Rennes_STA to Ploermel
-     is beyond all available amplifiers capabilities and/or extended_gain_range:
-    a power reduction of -1.82 is applied
-
-WARNING: target gain and power in node west edfa in Vannes_KBE to Ploermel
-     is beyond all available amplifiers capabilities and/or extended_gain_range:
-    a power reduction of -1.82 is applied
-
-WARNING: target gain and power in node east edfa in Brest_KLA to Morlaix
-     is beyond all available amplifiers capabilities and/or extended_gain_range:
-    a power reduction of -1.82 is applied
-
-WARNING: WARNING: effective gain in Node east edfa in Brest_KLA to Quimper is above user specified amplifier std_low_gain
-max flat gain: 16dB ; required gain: 23.0dB. Please check amplifier type.
-WARNING: target gain and power in node east edfa in Quimper to Lorient_KMA
-     is beyond all available amplifiers capabilities and/or extended_gain_range:
-    a power reduction of -1.82 is applied
-
-WARNING: target gain and power in node west edfa in Lorient_KMA to Quimper
-     is beyond all available amplifiers capabilities and/or extended_gain_range:
-    a power reduction of -1.82 is applied
-
-WARNING: target gain and power in node east edfa in a to b
-     is beyond all available amplifiers capabilities and/or extended_gain_range:
-    a power reduction of -1.82 is applied
-
-WARNING: target gain and power in node west edfa in b to a
-     is beyond all available amplifiers capabilities and/or extended_gain_range:
-    a power reduction of -1.82 is applied
-
-WARNING: target gain and power in node east edfa in a to c
-     is beyond all available amplifiers capabilities and/or extended_gain_range:
-    a power reduction of -1.82 is applied
-
-WARNING: target gain and power in node west edfa in c to a
-     is beyond all available amplifiers capabilities and/or extended_gain_range:
-    a power reduction of -1.82 is applied
-
-WARNING: target gain and power in node east edfa in b to a
-     is beyond all available amplifiers capabilities and/or extended_gain_range:
-    a power reduction of -1.82 is applied
-
-WARNING: target gain and power in node west edfa in a to b
-     is beyond all available amplifiers capabilities and/or extended_gain_range:
-    a power reduction of -1.82 is applied
-
-WARNING: target gain and power in node east edfa in b to f
-     is beyond all available amplifiers capabilities and/or extended_gain_range:
-    a power reduction of -1.82 is applied
-
-WARNING: target gain and power in node west edfa in f to b
-     is beyond all available amplifiers capabilities and/or extended_gain_range:
-    a power reduction of -1.82 is applied
-
-WARNING: target gain and power in node east edfa in c to a
-     is beyond all available amplifiers capabilities and/or extended_gain_range:
-    a power reduction of -1.82 is applied
-
-WARNING: target gain and power in node west edfa in a to c
-     is beyond all available amplifiers capabilities and/or extended_gain_range:
-    a power reduction of -1.82 is applied
-
-WARNING: target gain and power in node west edfa in d to c
-     is beyond all available amplifiers capabilities and/or extended_gain_range:
-    a power reduction of -1.82 is applied
-
-WARNING: target gain and power in node east edfa in c to f
-     is beyond all available amplifiers capabilities and/or extended_gain_range:
-    a power reduction of -1.82 is applied
-
-WARNING: target gain and power in node west edfa in f to c
-     is beyond all available amplifiers capabilities and/or extended_gain_range:
-    a power reduction of -1.82 is applied
-
-WARNING: target gain and power in node east edfa in d to c
-     is beyond all available amplifiers capabilities and/or extended_gain_range:
-    a power reduction of -1.82 is applied
-
-WARNING: target gain and power in node west edfa in c to d
-     is beyond all available amplifiers capabilities and/or extended_gain_range:
-    a power reduction of -1.82 is applied
-
-WARNING: target gain and power in node east edfa in d to e
-     is beyond all available amplifiers capabilities and/or extended_gain_range:
-    a power reduction of -1.82 is applied
-
-WARNING: target gain and power in node west edfa in e to d
-     is beyond all available amplifiers capabilities and/or extended_gain_range:
-    a power reduction of -1.82 is applied
-
-WARNING: target gain and power in node east edfa in e to d
-     is beyond all available amplifiers capabilities and/or extended_gain_range:
-    a power reduction of -1.82 is applied
-
-WARNING: target gain and power in node west edfa in d to e
-     is beyond all available amplifiers capabilities and/or extended_gain_range:
-    a power reduction of -1.82 is applied
-
-WARNING: target gain and power in node east edfa in e to g
-     is beyond all available amplifiers capabilities and/or extended_gain_range:
-    a power reduction of -1.82 is applied
-
-WARNING: target gain and power in node west edfa in g to e
-     is beyond all available amplifiers capabilities and/or extended_gain_range:
-    a power reduction of -1.82 is applied
-
-WARNING: target gain and power in node east edfa in f to c
-     is beyond all available amplifiers capabilities and/or extended_gain_range:
-    a power reduction of -1.82 is applied
-
-WARNING: target gain and power in node west edfa in c to f
-     is beyond all available amplifiers capabilities and/or extended_gain_range:
-    a power reduction of -1.82 is applied
-
-WARNING: target gain and power in node east edfa in f to b
-     is beyond all available amplifiers capabilities and/or extended_gain_range:
-    a power reduction of -1.82 is applied
-
-WARNING: target gain and power in node west edfa in b to f
-     is beyond all available amplifiers capabilities and/or extended_gain_range:
-    a power reduction of -1.82 is applied
-
-WARNING: target gain and power in node east edfa in f to h
-     is beyond all available amplifiers capabilities and/or extended_gain_range:
-    a power reduction of -1.82 is applied
-
-WARNING: target gain and power in node west edfa in h to f
-     is beyond all available amplifiers capabilities and/or extended_gain_range:
-    a power reduction of -1.82 is applied
-
-WARNING: target gain and power in node east edfa in g to e
-     is beyond all available amplifiers capabilities and/or extended_gain_range:
-    a power reduction of -1.82 is applied
-
-WARNING: target gain and power in node west edfa in e to g
-     is beyond all available amplifiers capabilities and/or extended_gain_range:
-    a power reduction of -1.82 is applied
-
-WARNING: target gain and power in node east edfa in g to h
-     is beyond all available amplifiers capabilities and/or extended_gain_range:
-    a power reduction of -1.82 is applied
-
-WARNING: target gain and power in node west edfa in h to g
-     is beyond all available amplifiers capabilities and/or extended_gain_range:
-    a power reduction of -1.82 is applied
-
-WARNING: target gain and power in node east edfa in h to f
-     is beyond all available amplifiers capabilities and/or extended_gain_range:
-    a power reduction of -1.82 is applied
-
-WARNING: target gain and power in node west edfa in f to h
-     is beyond all available amplifiers capabilities and/or extended_gain_range:
-    a power reduction of -1.82 is applied
-
-WARNING: target gain and power in node east edfa in h to g
-     is beyond all available amplifiers capabilities and/or extended_gain_range:
-    a power reduction of -1.82 is applied
-
-WARNING: target gain and power in node west edfa in g to h
-     is beyond all available amplifiers capabilities and/or extended_gain_range:
-    a power reduction of -1.82 is applied
-
 
 There are 3 fiber spans over 130 km between trx Lannion_CAS and trx Lorient_KMA
 
@@ -251,6 +15,7 @@ Transceiver trx Lannion_CAS
   CD (ps/nm):                0.00
   PMD (ps):                  0.00
   PDL (dB):                  0.00
+  Latency (ms):              0.00
 Roadm roadm Lannion_CAS
   effective loss (dB):     23.00
   reference pch out (dBm): -20.00
@@ -319,16 +84,17 @@ Roadm roadm Lorient_KMA
   reference pch out (dBm): -20.00
   actual pch out (dBm):    -20.00
 Transceiver trx Lorient_KMA
-  GSNR (0.1nm, dB):          23.94
+  GSNR (0.1nm, dB):          23.93
   GSNR (signal bw, dB):      19.85
   OSNR ASE (0.1nm, dB):      24.29
   OSNR ASE (signal bw, dB):  20.20
   CD (ps/nm):                2171.00
   PMD (ps):                  0.46
   PDL (dB):                  0.00
+  Latency (ms):              0.64
 
 Transmission result for input power = 3.00 dBm:
-  Final GSNR (0.1 nm): 23.94 dB
+  Final GSNR (0.1 nm): 23.93 dB
 
 (Invalid source node 'lannion' replaced with trx Lannion_CAS)
 

tests/requirements.txt

@@ -1,6 +1,7 @@
-build>=0.10.0,<1
+build>=1.0.3,<2
-pytest>=6.2.5,<7
+pytest>=7.4.3,<8
-pandas>=1.3.5,<2
+# pandas 2.1 removed support for Python 3.8
+pandas>=2.0.3,<3
 
 # flake v6 killed the --diff option
 flake8>=5.0.4,<6

tests/test_disjunction.py

@@ -4,12 +4,12 @@
 # License: BSD 3-Clause Licence
 # Copyright (c) 2018, Telecom Infra Project
 
-'''
+"""
 @author: esther.lerouzic
 checks that computed paths are disjoint as specified in the json service file
 that computed paths do not loop
 that include node constraints are correctly taken into account
-'''
+"""
 
 from pathlib import Path
 import pytest
@@ -19,7 +19,7 @@ from gnpy.core.exceptions import ServiceError, DisjunctionError
 from gnpy.core.utils import automatic_nch, lin2db
 from gnpy.core.elements import Roadm
 from gnpy.topology.request import (compute_path_dsjctn, isdisjoint, find_reversed_path, PathRequest,
-                                   correct_json_route_list)
+                                   correct_json_route_list, requests_aggregation, Disjunction)
 from gnpy.topology.spectrum_assignment import build_oms_list
 from gnpy.tools.json_io import requests_from_json, load_requests, load_network, load_equipment, disjunctions_from_json
 
@@ -31,8 +31,7 @@ EQPT_LIBRARY_NAME = Path(__file__).parent.parent / 'tests/data/eqpt_config.json'
 
 @pytest.fixture()
 def serv(test_setup):
-    ''' common setup for service list
+    """common setup for service list"""
-    '''
     network, equipment = test_setup
     data = load_requests(SERVICE_FILE_NAME, equipment, bidir=False, network=network, network_filename=NETWORK_FILE_NAME)
     rqs = requests_from_json(data, equipment)
@@ -43,8 +42,7 @@ def serv(test_setup):
 
 @pytest.fixture()
 def test_setup():
-    ''' common setup for tests: builds network, equipment and oms only once
+    """common setup for tests: builds network, equipment and oms only once"""
-    '''
     equipment = load_equipment(EQPT_LIBRARY_NAME)
     network = load_network(NETWORK_FILE_NAME, equipment)
     # Build the network once using the default power defined in SI in eqpt config
@@ -61,9 +59,10 @@ def test_setup():
 
 
 def test_disjunction(serv):
-    ''' service_file contains sevaral combination of disjunction constraint. The test checks
+    """service_file contains sevaral combination of disjunction constraint
-        that computed paths with disjunction constraint are effectively disjoint
+
-    '''
+    The test checks that computed paths with disjunction constraint are effectively disjoint.
+    """
     network, equipment, rqs, dsjn = serv
     pths = compute_path_dsjctn(network, equipment, rqs, dsjn)
     print(dsjn)
@@ -86,8 +85,7 @@ def test_disjunction(serv):
 
 
 def test_does_not_loop_back(serv):
-    ''' check that computed paths do not loop back ie each element appears only once
+    """check that computed paths do not loop back ie each element appears only once"""
-    '''
     network, equipment, rqs, dsjn = serv
     pths = compute_path_dsjctn(network, equipment, rqs, dsjn)
     test = True
@@ -108,8 +106,7 @@ def test_does_not_loop_back(serv):
 
 
 def create_rq(equipment, srce, dest, bdir, node_list, loose_list, rqid='test_request'):
-    ''' create the usual request list according to parameters
+    """create the usual request list according to parameters"""
-    '''
     requests_list = []
     params = {
         'request_id': rqid,
@@ -151,7 +148,8 @@ def create_rq(equipment, srce, dest, bdir, node_list, loose_list, rqid='test_req
     ['trx a', 'trx h', 'pass', 'found_path', ['trx h'], ['STRICT']],
     ['trx a', 'trx h', 'pass', 'found_path', ['roadm a'], ['STRICT']]])
 def test_include_constraints(test_setup, srce, dest, result, pth, node_list, loose_list):
-    ''' check that all combinations of constraints are correctly handled:
+    """check that all combinations of constraints are correctly handled:
+
     - STRICT/LOOSE
     - correct names/incorrect names -> pass/fail
     - possible include/impossible include
@@ -163,7 +161,7 @@ def test_include_constraints(test_setup, srce, dest, result, pth, node_list, loo
                             | cannot be applied | no_path           | found_path
         ----------------------------------------------------------------------------------
         0                   |                   |          computation stops
-    '''
+    """
     network, equipment = test_setup
     dsjn = []
     bdir = False
@@ -242,3 +240,91 @@ def test_create_disjunction(test_setup, dis1, dis2, node_list1, loose_list1, res
             path_names.append(roadm_names)
         assert path_names == expected_paths
         # if loose, one path can be returned
+
+
+@pytest.fixture()
+def request_set():
+    """ creates default request dict
+    """
+    return {
+        # 'request_id': '0',
+        'source': 'trx a',
+        'bidir': False,
+        'destination': 'trx g',
+        'trx_type': 'Voyager',
+        'spacing': 50e9,
+        'nodes_list': [],
+        'loose_list': [],
+        'f_min': 191.1e12,
+        'f_max': 196.3e12,
+        'nb_channel': None,
+        'power': 0,
+        'path_bandwidth': 200e9}
+
+
+@pytest.mark.parametrize(
+    'ids, modes, req_n, req_m, disjunction, final_ids, final_ns, final_ms, final_path_bandwidths',
+    # requests that should be correctly aggregated:
+    [(['a', 'b', 'c', 'd'], ['mode 1', 'mode 1', 'mode 1', 'mode 1'],
+      [[0], [16], [32], [48]], [[8], [8], [8], [8]], [[]],
+      ['d | c | b | a'], [[48, 32, 16, 0]], [[8, 8, 8, 8]], [800e9]),
+     (['a', 'b', 'c', 'd'], ['mode 1', 'mode 1', 'mode 1', 'mode 1'],
+      [[0, 8], [16, 24], [32, 40], [48]], [[4, 4], [4, 4], [4, 4], [8]], [[]],
+      ['d | c | b | a'], [[48, 32, 40, 16, 24, 0, 8]], [[8, 4, 4, 4, 4, 4, 4]], [800e9]),
+     (['a', 'b', 'c', 'd'], ['mode 1', 'mode 1', 'mode 1', 'mode 1'],
+      [[0, 8], [None, 24], [32, 40], [None]], [[4, 4], [4, 4], [4, 4], [None]], [[]],
+      ['d | c | b | a'], [[None, 32, 40, None, 24, 0, 8]], [[None, 4, 4, 4, 4, 4, 4]], [800e9]),
+     # 'a' and 'b' have same constraint and can be aggregated
+     (['a', 'b', 'c', 'd'], ['mode 1', 'mode 1', 'mode 1', 'mode 1'],
+      [[0], [16], [32], [48]], [[8], [8], [8], [8]], [['c', 'd']],
+      ['b | a', 'c', 'd'], [[16, 0], [32], [48]], [[8, 8], [8], [8]], [400e9, 200e9, 200e9]),
+     (['a', 'b', 'c', 'd'], ['mode 1', 'mode 1', 'mode 1', 'mode 1'],
+      [[0], [16], [32], [48]], [[8], [8], [8], [8]], [['a', 'd'], ['b', 'd']],
+      ['b | a', 'c', 'd'], [[16, 0], [32], [48]], [[8, 8], [8], [8]], [400e9, 200e9, 200e9]),
+     # requests that should not be aggregated:
+     (['a', 'b', 'c', 'd'], [None, None, None, 'mode 1'],
+      [[0, 8], [None, 24], [32, 40], [None]], [[4, 4], [4, 4], [4, 4], [None]], [[]],
+      ['a', 'b', 'c', 'd'], [[0, 8], [None, 24], [32, 40], [None]], [[4, 4], [4, 4], [4, 4], [None]],
+      [200e9, 200e9, 200e9, 200e9]),
+     (['a', 'b', 'c', 'd'], ['mode 1', 'mode 1', 'mode 1', 'mode 1'],
+      [[0], [16], [32], [48]], [[8], [8], [8], [8]], [['c', 'd', 'a']],
+      ['a', 'b', 'c', 'd'], [[0], [16], [32], [48]], [[8], [8], [8], [8]], [200e9, 200e9, 200e9, 200e9]), ])
+def test_aggregation(ids, modes, req_n, req_m, disjunction, final_ids, final_ns, final_ms, final_path_bandwidths,
+                     request_set):
+    """ tests that identical requests are correctly aggregated (included frequency slots merging)
+    if mode is not defined, requests must not be merged,
+    if requests are in a synchronization vector, they should not be merged
+    """
+    equipment = load_equipment(EQPT_LIBRARY_NAME)
+    requests = []
+    for request_id, mode, req_n, req_m in zip(ids, modes, req_n, req_m):
+        params = request_set
+        params['request_id'] = request_id
+        params['trx_mode'] = mode
+        params['effective_freq_slot'] = [{'N': n, 'M': m} for n, m in zip(req_n, req_m)]
+        trx_params = trx_mode_params(equipment, params['trx_type'], params['trx_mode'], True)
+        params.update(trx_params)
+        requests.append(PathRequest(**params))
+    params = {
+        'relaxable': False,
+        'link_diverse': True,
+        'node_diverse': True
+    }
+
+    disjunctions = []
+    i = 0
+    for vector in disjunction:
+        params['disjunctions_req'] = vector
+        params['disjunction_id'] = i
+        disjunctions.append(Disjunction(**params))
+        i += 1
+    requests, disjunctions = requests_aggregation(requests, disjunctions)
+    print(disjunctions)
+    print(requests)
+    i = 0
+    for final_id, final_n, final_m, final_path_bandwidth in zip(final_ids, final_ns, final_ms, final_path_bandwidths):
+        assert requests[i].request_id == final_id
+        assert requests[i].N == final_n
+        assert requests[i].M == final_m
+        assert requests[i].path_bandwidth == final_path_bandwidth
+        i += 1

tests/test_equalization.py

@@ -12,6 +12,7 @@ from pathlib import Path
 import pytest
 from numpy.testing import assert_allclose, assert_array_equal, assert_raises
 from numpy import array
+from copy import deepcopy
 
 from gnpy.core.utils import lin2db, automatic_nch, dbm2watt, power_dbm_to_psd_mw_ghz, watt2dbm, psd2powerdbm
 from gnpy.core.network import build_network
@@ -20,8 +21,9 @@ from gnpy.core.info import create_input_spectral_information, Pref, create_arbit
     ReferenceCarrier
 from gnpy.core.equipment import trx_mode_params
 from gnpy.core.exceptions import ConfigurationError
-from gnpy.tools.json_io import network_from_json, load_equipment, load_network, _spectrum_from_json, load_json
+from gnpy.tools.json_io import network_from_json, load_equipment, load_network, _spectrum_from_json, load_json, \
-from gnpy.topology.request import PathRequest, compute_constrained_path, propagate
+    Transceiver, requests_from_json
+from gnpy.topology.request import PathRequest, compute_constrained_path, propagate, propagate_and_optimize_mode
 
 
 TEST_DIR = Path(__file__).parent
@@ -299,8 +301,7 @@ def test_2low_input_power(target_out, delta_pdb_per_channel, correction):
 
 
 def net_setup(equipment):
-    """ common setup for tests: builds network, equipment and oms only once
+    """common setup for tests: builds network, equipment and oms only once"""
-    """
     network = load_network(NETWORK_FILENAME, equipment)
     spectrum = equipment['SI']['default']
     p_db = spectrum.power_dbm
@@ -310,8 +311,7 @@ def net_setup(equipment):
 
 
 def create_voyager_req(equipment, source, dest, bidir, nodes_list, loose_list, mode, spacing, power_dbm):
-    """ create the usual request list according to parameters
+    """create the usual request list according to parameters"""
-    """
     params = {'request_id': 'test_request',
               'source': source,
               'bidir': bidir,
@@ -336,8 +336,7 @@ def create_voyager_req(equipment, source, dest, bidir, nodes_list, loose_list, m
 @pytest.mark.parametrize('power_dbm', [0, 1, -2, None])
 @pytest.mark.parametrize('mode, slot_width', (['mode 1', 50e9], ['mode 2', 75e9]))
 def test_initial_spectrum(mode, slot_width, power_dbm):
-    """ checks that propagation using the user defined spectrum identical to SI, gives same result as SI
+    """checks that propagation using the user defined spectrum identical to SI, gives same result as SI"""
-    """
     # first propagate without any req.initial_spectrum attribute
     equipment = load_equipment(EQPT_FILENAME)
     req = create_voyager_req(equipment, 'trx Brest_KLA', 'trx Vannes_KBE', False, ['trx Vannes_KBE'], ['STRICT'],
@@ -438,8 +437,7 @@ def test_target_psd_or_psw(power_dbm, equalization, target_value):
 
 
 def ref_network():
-    """ Create a network instance with a instance of propagated path
+    """Create a network instance with a instance of propagated path"""
-    """
     equipment = load_equipment(EQPT_FILENAME)
     network = net_setup(equipment)
     req0 = create_voyager_req(equipment, 'trx Brest_KLA', 'trx Vannes_KBE', False, ['trx Vannes_KBE'], ['STRICT'],
@@ -452,6 +450,7 @@ def ref_network():
 @pytest.mark.parametrize('deltap', [0, +1.2, -0.5])
 def test_target_psd_out_mwperghz_deltap(deltap):
     """checks that if target_psd_out_mWperGHz is defined, delta_p of amps is correctly updated
+
     Power over 1.2dBm saturate amp with this test: TODO add a test on this saturation
     """
     equipment = load_equipment(EQPT_FILENAME)
@@ -586,3 +585,253 @@ def test_power_option(req_power):
     assert_array_equal(infos_expected.pmd, infos_actual.pmd)
     assert_array_equal(infos_expected.channel_number, infos_actual.channel_number)
     assert_array_equal(infos_expected.number_of_channels, infos_actual.number_of_channels)
+
+
+def transceiver(slot_width, value):
+    return {
+        "type_variety": "test_offset",
+        "frequency": {
+            "min": 191.3e12,
+            "max": 196.1e12
+        },
+        "mode": [
+            {
+                "format": "mode 1",
+                "baud_rate": 64e9,
+                "OSNR": 18,
+                "bit_rate": 100e9,
+                "roll_off": 0.15,
+                "tx_osnr": 40,
+                "min_spacing": 75e9,
+                "cost": 1
+            },
+            {
+                "format": "mode 3",
+                "baud_rate": 64e9,
+                "OSNR": 18,
+                "bit_rate": 100e9,
+                "roll_off": 0.15,
+                "tx_osnr": 40,
+                "min_spacing": slot_width,
+                "equalization_offset_db": value,
+                "cost": 1
+            }
+        ]
+    }
+
+
+def some_requests():
+    route = {
+        "route-object-include-exclude": [
+            {
+                "explicit-route-usage": "route-include-ero",
+                "index": 0,
+                "num-unnum-hop": {
+                    "node-id": "trx Brest_KLA",
+                    "link-tp-id": "link-tp-id is not used",
+                    "hop-type": "STRICT"
+                }
+            },
+            {
+                "explicit-route-usage": "route-include-ero",
+                "index": 1,
+                "num-unnum-hop": {
+                    "node-id": "trx Vannes_KBE",
+                    "link-tp-id": "link-tp-id is not used",
+                    "hop-type": "STRICT"
+                }
+            }
+        ]
+    }
+    return {
+        "path-request": [{
+            "request-id": "2",
+            "source": "trx Brest_KLA",
+            "destination": "trx Vannes_KBE",
+            "src-tp-id": "trx Brest_KLA",
+            "dst-tp-id": "trx Vannes_KBE",
+            "bidirectional": False,
+            "path-constraints": {
+                "te-bandwidth": {
+                    "technology": "flexi-grid",
+                    "trx_type": "test_offset",
+                    "trx_mode": "mode 1",
+                    "spacing": 75000000000.0,
+                    "path_bandwidth": 100000000000.0
+                }
+            },
+            "explicit-route-objects": route
+        }, {
+            "request-id": "3",
+            "source": "trx Brest_KLA",
+            "destination": "trx Vannes_KBE",
+            "src-tp-id": "trx Brest_KLA",
+            "dst-tp-id": "trx Vannes_KBE",
+            "bidirectional": False,
+            "path-constraints": {
+                "te-bandwidth": {
+                    "technology": "flexi-grid",
+                    "trx_type": "test_offset",
+                    "trx_mode": "mode 3",
+                    "spacing": 87500000000.0,
+                    "path_bandwidth": 100000000000.0
+                }
+            },
+            "explicit-route-objects": route
+        }, {
+            "request-id": "4",
+            "source": "trx Brest_KLA",
+            "destination": "trx Vannes_KBE",
+            "src-tp-id": "trx Brest_KLA",
+            "dst-tp-id": "trx Vannes_KBE",
+            "bidirectional": False,
+            "path-constraints": {
+                "te-bandwidth": {
+                    "technology": "flexi-grid",
+                    "trx_type": "test_offset",
+                    "trx_mode": "mode 1",
+                    "spacing": 87500000000.0,
+                    "path_bandwidth": 100000000000.0
+                }
+            },
+            "explicit-route-objects": route
+        }]
+    }
+
+
+@pytest.mark.parametrize('slot_width, value', [(75e9, lin2db(75 / 87.5)),
+                                               (87.5e9, lin2db(75 / 87.5))])
+def test_power_offset_trx_equalization_psw(slot_width, value):
+    """Check that the equalization with the offset is giving the same result as with reference slot_width
+    Check that larger slot width but no offset takes larger slot width for equalization
+    """
+    equipment = load_equipment(EQPT_FILENAME)
+    trx = transceiver(slot_width, value)
+    equipment['Transceiver'][trx['type_variety']] = Transceiver(**trx)
+    setattr(equipment['Roadm']['default'], 'target_pch_out_db', None)
+    setattr(equipment['Roadm']['default'], 'target_out_mWperSlotWidth', power_dbm_to_psd_mw_ghz(-20, 50e9))
+    network = net_setup(equipment)
+    json_data = some_requests()
+    ref_request, request, other = requests_from_json(json_data, equipment)
+    # ref_request (_expected) has no offset, equalization on 75GH basis
+    path_expected = compute_constrained_path(network, ref_request)
+    _ = propagate(path_expected, ref_request, equipment)
+    roadm1_expected = deepcopy(path_expected[1])
+    # request has an offset either defined in power and a larger slot width.
+    # The defined offset is "equalize as if it was a 75 GHz channel" although slot_width is 87.5GHz
+    path = compute_constrained_path(network, request)
+    _ = propagate(path, request, equipment)
+    roadm1 = deepcopy(path[1])
+    # the other request has a larger slot width (spacing) but no offset. so equalization uses this slot width
+    path_other = compute_constrained_path(network, other)
+    _ = propagate(path, other, equipment)
+    roadm1_other = path_other[1]
+    # check the first frequency since all cariers have the same equalization
+    # Check that the power is equalized as if it was for a 75GHz channel (mode 1) instead of a 87.5GHz
+    assert roadm1.pch_out_dbm[0] == roadm1_expected.pch_out_dbm[0]
+    # Check that equalization instead uses 87.5GHz basis
+    assert roadm1_other.pch_out_dbm[0] == roadm1_expected.pch_out_dbm[0] + lin2db(87.5 / 75)
+
+
+@pytest.mark.parametrize('slot_width, value', [(75e9, lin2db(75 / 50)),
+                                               (87.5e9, lin2db(75 / 50))])
+def test_power_offset_trx_equalization_p(slot_width, value):
+    """Check that the constant power equalization with the offset is applied
+    """
+    equipment = load_equipment(EQPT_FILENAME)
+    trx = transceiver(slot_width, value)
+    equipment['Transceiver'][trx['type_variety']] = Transceiver(**trx)
+    setattr(equipment['Roadm']['default'], 'target_pch_out_db', -20)
+    network = net_setup(equipment)
+    json_data = some_requests()
+    ref_request, request, _ = requests_from_json(json_data, equipment)
+    path_expected = compute_constrained_path(network, ref_request)
+    _ = propagate(path_expected, ref_request, equipment)
+    roadm1_expected = deepcopy(path_expected[1])
+    path = compute_constrained_path(network, request)
+    _ = propagate(path, request, equipment)
+    roadm1 = deepcopy(path[1])
+    assert roadm1.pch_out_dbm[0] == roadm1_expected.pch_out_dbm[0] + lin2db(75 / 50)
+
+
+@pytest.mark.parametrize('equalization, target_value',
+    [('target_pch_out_db', -20),
+     ('target_psd_out_mWperGHz', power_dbm_to_psd_mw_ghz(-20, 64e9)),
+     ('target_out_mWperSlotWidth', power_dbm_to_psd_mw_ghz(-20, 50e9))])
+@pytest.mark.parametrize('slot_width, value, expected_mode', [(75e9, 3.0, 'mode 3')])
+def test_power_offset_automatic_mode_selection(slot_width, value, equalization,
+                                               target_value, expected_mode):
+    """Check that the same result is obtained if the mode is user defined or if it is
+    automatically selected
+    """
+    equipment = load_equipment(EQPT_FILENAME)
+    trx = transceiver(slot_width, value)
+    equipment['Transceiver'][trx['type_variety']] = Transceiver(**trx)
+    setattr(equipment['Roadm']['default'], 'target_pch_out_db', None)
+    setattr(equipment['Roadm']['default'], equalization, target_value)
+    network = net_setup(equipment)
+    route = {
+        "route-object-include-exclude": [
+            {
+                "explicit-route-usage": "route-include-ero",
+                "index": 0,
+                "num-unnum-hop": {
+                    "node-id": "trx Brest_KLA",
+                    "link-tp-id": "link-tp-id is not used",
+                    "hop-type": "STRICT"
+                }
+            },
+            {
+                "explicit-route-usage": "route-include-ero",
+                "index": 1,
+                "num-unnum-hop": {
+                    "node-id": "trx Vannes_KBE",
+                    "link-tp-id": "link-tp-id is not used",
+                    "hop-type": "STRICT"
+                }
+            }
+        ]
+    }
+    json_data = {
+        "path-request": [{
+            "request-id": "imposed_mode",
+            "source": "trx Brest_KLA",
+            "destination": "trx Vannes_KBE",
+            "src-tp-id": "trx Brest_KLA",
+            "dst-tp-id": "trx Vannes_KBE",
+            "bidirectional": False,
+            "path-constraints": {
+                "te-bandwidth": {
+                    "technology": "flexi-grid",
+                    "trx_type": "test_offset",
+                    "trx_mode": "mode 3",
+                    "spacing": 75000000000.0,
+                    "path_bandwidth": 100000000000.0
+                }
+            },
+            "explicit-route-objects": route
+        }, {
+            "request-id": "free_mode",
+            "source": "trx Brest_KLA",
+            "destination": "trx Vannes_KBE",
+            "src-tp-id": "trx Brest_KLA",
+            "dst-tp-id": "trx Vannes_KBE",
+            "bidirectional": False,
+            "path-constraints": {
+                "te-bandwidth": {
+                    "technology": "flexi-grid",
+                    "trx_type": "test_offset",
+                    "spacing": 75000000000.0,
+                    "path_bandwidth": 100000000000.0
+                }
+            },
+            "explicit-route-objects": route
+        }]}
+    imposed_req, free_req, = requests_from_json(json_data, equipment)
+    assert free_req.tsp_mode is None
+    path_expected = compute_constrained_path(network, imposed_req)
+    _ = propagate(path_expected, imposed_req, equipment)
+    path = compute_constrained_path(network, free_req)
+    _, mode = propagate_and_optimize_mode(path, free_req, equipment)
+    assert mode['format'] == expected_mode
+    assert_allclose(path_expected[-1].snr_01nm, path[-1].snr_01nm, rtol=1e-5)

tests/test_invocation.py

@@ -2,6 +2,7 @@
 
 from pathlib import Path
 import os
+from logging import INFO, Formatter
 import pytest
 import subprocess
 from gnpy.tools.cli_examples import transmission_main_example, path_requests_run
@@ -9,39 +10,46 @@ from gnpy.tools.cli_examples import transmission_main_example, path_requests_run
 SRC_ROOT = Path(__file__).parent.parent
 
 
-@pytest.mark.parametrize("output, handler, args", (
+@pytest.mark.parametrize("output, log, handler, args", (
-    ('transmission_main_example', transmission_main_example, []),
+    ('transmission_main_example', None, transmission_main_example, []),
-    ('transmission_saturated', transmission_main_example,
+    ('transmission_saturated', 'logs_transmission_saturated', transmission_main_example,
      ['tests/data/testTopology_expected.json', 'lannion', 'lorient', '-e', 'tests/data/eqpt_config.json', '--pow', '3']),
-    ('path_requests_run', path_requests_run, []),
+    ('path_requests_run', 'logs_path_request', path_requests_run, ['-v']),
-    ('transmission_main_example__raman', transmission_main_example,
+    ('transmission_main_example__raman', None, transmission_main_example,
      ['gnpy/example-data/raman_edfa_example_network.json', '--sim', 'gnpy/example-data/sim_params.json', '--show-channels', ]),
-    ('openroadm-v4-Stockholm-Gothenburg', transmission_main_example,
+    ('openroadm-v4-Stockholm-Gothenburg', None, transmission_main_example,
      ['-e', 'gnpy/example-data/eqpt_config_openroadm_ver4.json', 'gnpy/example-data/Sweden_OpenROADMv4_example_network.json', ]),
-    ('openroadm-v5-Stockholm-Gothenburg', transmission_main_example,
+    ('openroadm-v5-Stockholm-Gothenburg', None, transmission_main_example,
      ['-e', 'gnpy/example-data/eqpt_config_openroadm_ver5.json', 'gnpy/example-data/Sweden_OpenROADMv5_example_network.json', ]),
-    ('transmission_main_example_long', transmission_main_example,
+    ('transmission_main_example_long', None, transmission_main_example,
      ['-e', 'tests/data/eqpt_config.json', 'tests/data/test_long_network.json']),
-    ('spectrum1_transmission_main_example', transmission_main_example,
+    ('spectrum1_transmission_main_example', None, transmission_main_example,
      ['--spectrum', 'gnpy/example-data/initial_spectrum1.json', 'gnpy/example-data/meshTopologyExampleV2.xls', ]),
-    ('spectrum2_transmission_main_example', transmission_main_example,
+    ('spectrum2_transmission_main_example', None, transmission_main_example,
      ['--spectrum', 'gnpy/example-data/initial_spectrum2.json', 'gnpy/example-data/meshTopologyExampleV2.xls', '--show-channels', ]),
+    ('path_requests_run_CD_PMD_PDL_missing', 'logs_path_requests_run_CD_PMD_PDL_missing', path_requests_run,
+     ['tests/data/CORONET_Global_Topology_expected.json', 'tests/data/CORONET_services.json', '-v']),
 ))
-
+def test_example_invocation(capfd, caplog, output, log, handler, args):
-
+    """Make sure that our examples produce useful output"""
-def test_example_invocation(capfd, output, handler, args):
-    '''Make sure that our examples produce useful output'''
     os.chdir(SRC_ROOT)
     expected = open(SRC_ROOT / 'tests' / 'invocation' / output, mode='r', encoding='utf-8').read()
+    formatter = Formatter('%(levelname)-9s%(name)s:%(filename)s %(message)s')
+    caplog.handler.setFormatter(formatter)
+    # keep INFO level to at least test those logs once
+    caplog.set_level(INFO)
     handler(args)
     captured = capfd.readouterr()
     assert captured.out == expected
     assert captured.err == ''
+    if log:
+        expected_log = open(SRC_ROOT / 'tests' / 'invocation' / log, mode='r', encoding='utf-8').read()
+        assert expected_log == caplog.text
 
 
 @pytest.mark.parametrize('program', ('gnpy-transmission-example', 'gnpy-path-request'))
 def test_run_wrapper(program):
-    '''Ensure that our wrappers really, really work'''
+    """Ensure that our wrappers really, really work"""
     proc = subprocess.run((program, '--help'), stdout=subprocess.PIPE, stderr=subprocess.PIPE,
                           check=True, universal_newlines=True)
     assert proc.stderr == ''
@@ -53,5 +61,5 @@ def test_conversion_xls():
     proc = subprocess.run(
         ('gnpy-convert-xls', SRC_ROOT / 'tests' / 'data' / 'testTopology.xls', '--output', os.path.devnull),
         stdout=subprocess.PIPE, stderr=subprocess.PIPE, check=True, universal_newlines=True)
-    assert proc.stderr == ''
+    assert proc.stderr == 'missing header delta p\nmissing header delta p\n'
     assert os.path.devnull in proc.stdout

tests/test_logger.py

@@ -0,0 +1,422 @@
+# SPDX-License-Identifier: BSD-3-Clause
+#
+# Copyright (C) 2020 Telecom Infra Project and GNPy contributors
+# see LICENSE.md for a list of contributors
+#
+
+from pathlib import Path
+import re
+import pytest
+
+from gnpy.core.exceptions import ConfigurationError, ServiceError, EquipmentConfigError, ParametersError, \
+    NetworkTopologyError
+from gnpy.tools.json_io import SI, Roadm, Amp, load_equipment, requests_from_json, network_from_json, \
+    load_network, load_requests
+from gnpy.tools.convert import xls_to_json_data
+
+TEST_DIR = Path(__file__).parent
+EQPT_FILENAME = TEST_DIR / 'data/eqpt_config.json'
+DATA_DIR = TEST_DIR / 'data'
+
+
+def test_jsonthing(caplog):
+    """Check that a missing key correctly raises an info
+    """
+    json_data = {
+
+        "baud_rate": 32e9,
+        "f_max": 196.1e12,
+        "spacing": 50e9,
+        "power_dbm": 0,
+        "power_range_db": [0, 0, 1],
+        "roll_off": 0.15,
+        "tx_osnr": 40,
+        "sys_margins": 2
+    }
+    _ = SI(**json_data)
+    expected_msg = 'WARNING missing f_min attribute in eqpt_config.json[SI]\n ' \
+                   + 'default value is f_min = 191350000000000.0'
+    assert expected_msg in caplog.text
+
+
+def wrong_equipment():
+    """Creates list of malformed equipments
+    """
+    data = []
+    data.append({
+        "error": EquipmentConfigError,
+        "equipment": Roadm,
+        "json_data": {
+            "target_pch_out_db": -20,
+            "target_out_mWperSlotWidth": 3.125e-4,
+            "add_drop_osnr": 38,
+            "pmd": 0,
+            "pdl": 0,
+            "restrictions": {
+                "preamp_variety_list": [],
+                "booster_variety_list": []
+            }
+        },
+        "expected_msg": "Only one equalization type should be set in ROADM, found: target_pch_out_db,"
+                        + " target_out_mWperSlotWidth"
+    })
+    data.append({
+        "error": EquipmentConfigError,
+        "equipment": Roadm,
+        "json_data": {
+            "add_drop_osnr": 38,
+            "pmd": 0,
+            "pdl": 0,
+            "restrictions": {
+                "preamp_variety_list": [],
+                "booster_variety_list": []
+            }
+        },
+        "expected_msg": "No equalization type set in ROADM"
+    })
+    return data
+
+
+@pytest.mark.parametrize('error, equipment, json_data, expected_msg',
+                         [(e['error'], e['equipment'], e['json_data'], e['expected_msg']) for e in wrong_equipment()])
+def test_wrong_equipment(caplog, error, equipment, json_data, expected_msg):
+    """
+    """
+    with pytest.raises(EquipmentConfigError, match=expected_msg):
+        _ = equipment(**json_data)
+
+
+@pytest.mark.parametrize('xls_service_filename, xls_topo_filename, expected_msg',
+                         [('wrong_service.xlsx', 'testTopology.xls',
+                           "Service error: Request Id: 0 - could not find tsp : 'Voyager' with mode: 'Mode 10' "
+                           + "in eqpt library \nComputation stopped."),
+                          ('wrong_service_type.xlsx', 'testTopology.xls',
+                           "Service error: Request Id: 0 - could not find tsp : 'Galileo' with mode: 'mode 1' "
+                           + "in eqpt library \nComputation stopped.")])
+def test_wrong_xls_service(xls_service_filename, xls_topo_filename, expected_msg):
+    """
+    """
+    equipment = load_equipment(EQPT_FILENAME)
+    network = load_network(DATA_DIR / xls_topo_filename, equipment)
+    with pytest.raises(ServiceError, match=expected_msg):
+        _ = load_requests(DATA_DIR / xls_service_filename, equipment, False, network, DATA_DIR / xls_topo_filename)
+
+
+def wrong_amp():
+    """Creates list of malformed equipments
+    """
+    data = []
+    data.append({
+        "error": EquipmentConfigError,
+        "json_data": {
+            "type_variety": "test_fixed_gain",
+            "type_def": "fixed_gain",
+            "gain_flatmax": 21,
+            "gain_min": 20,
+            "p_max": 21,
+            "allowed_for_design": True
+        },
+        "expected_msg": "missing nf0 value input for amplifier: test_fixed_gain in equipment config"
+    })
+    data.append({
+        "error": EquipmentConfigError,
+        "json_data": {
+            "type_variety": "test",
+            "type_def": "variable_gain",
+            "gain_flatmax": 25,
+            "gain_min": 15,
+            "p_max": 21,
+            "nf_min": 5.8,
+            "out_voa_auto": False,
+            "allowed_for_design": True
+        },
+        "expected_msg": "missing nf_min or nf_max value input for amplifier: test in equipment config"
+    })
+    data.append({
+        "error": EquipmentConfigError,
+        "json_data": {
+            "type_variety": "medium+high_power",
+            "type_def": "dual_stage",
+            "gain_min": 25,
+            "preamp_variety": "std_medium_gain",
+            "allowed_for_design": False
+        },
+        "expected_msg": "missing preamp/booster variety input for amplifier: medium+high_power in equipment config"
+    })
+    return data
+
+
+@pytest.mark.parametrize('error, json_data, expected_msg',
+                         [(e['error'], e['json_data'], e['expected_msg']) for e in wrong_amp()])
+def test_wrong_amp(error, json_data, expected_msg):
+    """
+    """
+    with pytest.raises(error, match=re.escape(expected_msg)):
+        _ = Amp.from_json(EQPT_FILENAME, **json_data)
+
+
+def wrong_requests():
+    """Creates list of malformed requests
+    """
+    data = []
+    data.append({
+        'error': ConfigurationError,
+        'json_data': {
+            "path-request": [{
+                "request-id": "imposed_mode",
+                "source": "trx Brest_KLA",
+                "destination": "trx Vannes_KBE",
+                "src-tp-id": "trx Brest_KLA",
+                "dst-tp-id": "trx Vannes_KBE",
+                "bidirectional": False,
+                "path-constraints": {
+                    "te-bandwidth": {
+                        "technology": "flexi-grid",
+                        "trx_type": "test_offset",
+                        "trx_mode": "mode 3",
+                        "spacing": 75000000000.0,
+                        "path_bandwidth": 100000000000.0
+                    }
+                }
+            }]
+        },
+        'expected_msg': 'Equipment Config error in imposed_mode: '
+                        + 'Could not find transponder "test_offset" with mode "mode 3" in equipment library'
+    })
+    data.append({
+        'error': ServiceError,
+        'json_data': {
+            "path-request": [{
+                "request-id": "Missing_type",
+                "source": "trx Brest_KLA",
+                "destination": "trx Vannes_KBE",
+                "src-tp-id": "trx Brest_KLA",
+                "dst-tp-id": "trx Vannes_KBE",
+                "bidirectional": False,
+                "path-constraints": {
+                    "te-bandwidth": {
+                        "technology": "flexi-grid",
+                        "trx_type": None,
+                        "spacing": 75000000000.0,
+                        "path_bandwidth": 100000000000.0
+                    }
+                }
+            }]},
+        'expected_msg': 'Request Missing_type has no transceiver type defined'
+    })
+    data.append({
+        'error': ServiceError,
+        'json_data': {
+            "path-request": [{
+                "request-id": "wrong_spacing",
+                "source": "trx Brest_KLA",
+                "destination": "trx Vannes_KBE",
+                "src-tp-id": "trx Brest_KLA",
+                "dst-tp-id": "trx Vannes_KBE",
+                "bidirectional": False,
+                "path-constraints": {
+                    "te-bandwidth": {
+                        "technology": "flexi-grid",
+                        "trx_type": "Voyager",
+                        "trx_mode": "mode 2",
+                        "spacing": 50000000000.0,
+                        "path_bandwidth": 100000000000.0
+                    }
+                }
+            }]},
+        'expected_msg': 'Request wrong_spacing has spacing below transponder Voyager mode 2 min spacing'
+        + ' value 75.0GHz.\nComputation stopped'
+    })
+    data.append({
+        'error': ServiceError,
+        'json_data': {
+            "path-request": [{
+                "request-id": "Wrong_nb_channel",
+                "source": "trx Brest_KLA",
+                "destination": "trx Vannes_KBE",
+                "src-tp-id": "trx Brest_KLA",
+                "dst-tp-id": "trx Vannes_KBE",
+                "bidirectional": False,
+                "path-constraints": {
+                    "te-bandwidth": {
+                        "technology": "flexi-grid",
+                        "trx_type": "Voyager",
+                        "trx_mode": "mode 2",
+                        "spacing": 75000000000.0,
+                        "max-nb-of-channel": 150,
+                        "path_bandwidth": 100000000000.0
+                    }
+                }
+            }]},
+        'expected_msg': 'Requested channel number 150, baud rate 66.0 GHz'
+                        + ' and requested spacing 75.0GHz is not consistent with frequency range'
+                        + ' 191.35 THz, 196.1 THz.'
+                        + ' Max recommanded nb of channels is 63.'
+    })
+    data.append({
+        'error': ServiceError,
+        'json_data': {
+            "path-request": [{
+                "request-id": "Wrong_M",
+                "source": "trx Brest_KLA",
+                "destination": "trx Vannes_KBE",
+                "src-tp-id": "trx Brest_KLA",
+                "dst-tp-id": "trx Vannes_KBE",
+                "bidirectional": False,
+                "path-constraints": {
+                    "te-bandwidth": {
+                        "technology": "flexi-grid",
+                        "trx_type": "Voyager",
+                        "trx_mode": "mode 2",
+                        "spacing": 75000000000.0,
+                        "effective-freq-slot": [
+                            {
+                              "N": -208,
+                              "M": 4
+                            }
+                        ],
+                        "path_bandwidth": 100000000000.0
+                    }
+                }
+            }]},
+        'expected_msg': 'Requested M [{\'N\': -208, \'M\': 4}] number of slots for request Wrong_M '
+                        + 'support 0 nb of channels while 1 are required to support request 100.0 Gbit/s'
+                        + ' with Voyager mode 2'
+    })
+    return data
+
+
+@pytest.mark.parametrize('error, json_data, expected_msg',
+                         [(e['error'], e['json_data'], e['expected_msg']) for e in wrong_requests()])
+def test_json_request(error, json_data, expected_msg):
+    """
+    Check that a missing key is correctly raisong the logger
+    """
+    equipment = load_equipment(EQPT_FILENAME)
+
+    with pytest.raises(error, match=re.escape(expected_msg)):
+        _ = requests_from_json(json_data, equipment)
+
+
+def wrong_element():
+    """
+    """
+    data = []
+    data.append({
+        "error": ConfigurationError,
+        "json_data": {
+            "elements": [{
+                "uid": "roadm SITE2",
+                "type": "Roadm",
+                "params": {
+                    "target_pch_out_db": -20,
+                    "target_out_mWperSlotWidth": 3.125e-4,
+                },
+                "metadata": {
+                    "location": {
+                        "latitude": 2.0,
+                        "longitude": 3.0,
+                        "city": "SITE2",
+                        "region": "RLD"
+                    }
+                }
+            }],
+            "connections": []
+        },
+        "expected_msg": "ROADM roadm SITE2: invalid equalization settings"
+    })
+    data.append({
+        "error": ConfigurationError,
+        "json_data": {
+            "elements": [{
+                "uid": "east edfa in ILA2 to SITE2",
+                "type": "Edfa",
+                "type_variety": "not_valid_variety",
+                "metadata": {
+                    "location": {
+                        "latitude": 2.0,
+                        "longitude": 0.0,
+                        "city": "ILA2",
+                        "region": "RLD"
+                    }
+                }
+            }],
+            "connections": []
+        },
+        "expected_msg": "The Edfa of variety type not_valid_variety was not recognized:"
+                        + "\nplease check it is properly defined in the eqpt_config json file"
+    })
+    data.append({
+        "error": ParametersError,
+        "json_data": {
+            "elements": [{
+                "uid": "fiber (ILA2 → ILA1)",
+                "type": "Fiber",
+                "type_variety": "SSMF",
+                "params": {
+                    "length": 100.0,
+                    "loss_coef": 0.2,
+                    "att_in": 0,
+                    "con_in": 0,
+                    "con_out": 0
+                },
+                "metadata": {
+                    "location": {
+                        "latitude": 2.0,
+                        "longitude": 1.5,
+                        "city": None,
+                        "region": None
+                    }
+                }
+            }],
+            "connections": []
+        },
+        "expected_msg": "Config error in fiber (ILA2 → ILA1): "
+                        + "Fiber configurations json must include \'length_units\'. Configuration: "
+                        + "{\'length\': 100.0, \'loss_coef\': 0.2, \'att_in\': 0, \'con_in\': 0, \'con_out\': 0, "
+                        + "\'type_variety\': \'SSMF\', \'dispersion\': 1.67e-05, \'effective_area\': 8.3e-11, "
+                        + "\'pmd_coef\': 1.265e-15}"
+    })
+    return data
+
+
+@pytest.mark.parametrize('error, json_data, expected_msg',
+                         [(e['error'], e['json_data'], e['expected_msg']) for e in wrong_element()])
+def test_json_network(error, json_data, expected_msg):
+    """
+    Check that a missing key is correctly raisong the logger
+    """
+    equipment = load_equipment(EQPT_FILENAME)
+    with pytest.raises(error, match=re.escape(expected_msg)):
+        _ = network_from_json(json_data, equipment)
+
+
+@pytest.mark.parametrize('input_filename, expected_msg',
+    [(DATA_DIR / 'wrong_topo_node.xlsx', 'XLS error: The following nodes are not referenced from the Links sheet.'
+                                         + ' If unused, remove them from the Nodes sheet:\n - toto'),
+     (DATA_DIR / 'wrong_topo_link.xlsx', 'XLS error: The Links sheet references nodes that are not defined in the '
+                                         + 'Nodes sheet:\n - ALB -> toto'),
+     (DATA_DIR / 'wrong_topo_link_header.xlsx', 'missing header Node Z'),
+     (DATA_DIR / 'wrong_topo_eqpt.xlsx', 'XLS error: The Eqpt sheet refers to nodes that are not defined in the '
+                                         + 'Nodes sheet:\n - toto'),
+     (DATA_DIR / 'wrong_topo_duplicate_node.xlsx', 'Duplicate city: Counter({\'ALB\': 2, \'CHA_3\': 1})'),
+     (DATA_DIR / 'wrong_topo_duplicate_eqpt.xlsx', 'XLS error: Duplicate lines in Eqpt sheet: - ALB -> CHA_3'),
+     (DATA_DIR / 'wrong_topo_bad_eqpt.xlsx', 'XLS error: The Eqpt sheet references links that are not defined '
+                                             + 'in the Links sheet:\n - toto -> CHA_3'),
+     (DATA_DIR / 'wrong_duplicate_link_reverse.xlsx', 'XLS error: links  - (\'ila\', \'siteb\') are duplicate'),
+     (DATA_DIR / 'wrong_duplicate_eqpt_ila_reverse.xlsx', 'XLS error: Duplicate ILA eqpt definition in Eqpt sheet:'
+                                                          + ' - ila')])
+def test_wrong_xlsx(input_filename, expected_msg):
+    """Check that error and logs are correctly working
+    """
+    with pytest.raises(NetworkTopologyError, match=re.escape(expected_msg)):
+        _ = xls_to_json_data(input_filename)
+
+
+@pytest.mark.parametrize('input_filename, expected_msg',
+    [(DATA_DIR / 'wrong_node_type.xlsx', 'invalid node type (ILA) specified in Lannion_CAS, replaced by ROADM\n')])
+def test_log_wrong_xlsx(caplog, input_filename, expected_msg):
+    """Check that logs are correctly working
+    """
+    _ = xls_to_json_data(input_filename)
+    assert expected_msg in caplog.text

tests/test_parameters.py

@@ -6,18 +6,51 @@ Checks that the class SimParams behaves as a mutable Singleton.
 """
 
 import pytest
-from gnpy.core.parameters import SimParams
+from pathlib import Path
+from numpy.testing import assert_allclose
+
+from gnpy.core.parameters import SimParams, FiberParams
+from gnpy.tools.json_io import load_json, Fiber
+
+TEST_DIR = Path(__file__).parent
 
 
 @pytest.mark.usefixtures('set_sim_params')
 def test_sim_parameters():
     sim_params = {'nli_params': {}, 'raman_params': {}}
     SimParams.set_params(sim_params)
-    s1 = SimParams.get()
+    s1 = SimParams()
     assert s1.nli_params.method == 'gn_model_analytic'
-    s2 = SimParams.get()
+    s2 = SimParams()
     assert not s1.raman_params.flag
     sim_params['raman_params']['flag'] = True
     SimParams.set_params(sim_params)
     assert s2.raman_params.flag
     assert s1.raman_params.flag
+
+
+def test_fiber_parameters():
+    fiber_dict_explicit_g0 = load_json(TEST_DIR/'data'/'test_parameters_fiber_config.json')['params']
+    fiber_params_explicit_g0 = FiberParams(**fiber_dict_explicit_g0)
+
+    fiber_dict_default_g0 = load_json(TEST_DIR/'data'/'test_science_utils_fiber_config.json')['params']
+    fiber_params_default_g0 = FiberParams(**fiber_dict_default_g0)
+
+    fiber_dict_cr = load_json(TEST_DIR/'data'/'test_old_parameters_fiber_config.json')['params']
+    fiber_dict_cr.update(Fiber(**fiber_dict_cr).__dict__)
+    fiber_params_cr = FiberParams(**fiber_dict_cr)
+
+    raman_coefficient_explicit_g0 = fiber_params_explicit_g0.raman_coefficient
+    raman_coefficient_explicit_g0 =\
+        raman_coefficient_explicit_g0.normalized_gamma_raman * fiber_params_explicit_g0._raman_reference_frequency
+
+    raman_coefficient_default_g0 = fiber_params_default_g0.raman_coefficient
+    raman_coefficient_default_g0 = \
+        raman_coefficient_default_g0.normalized_gamma_raman * fiber_params_default_g0._raman_reference_frequency
+
+    raman_coefficient_cr = fiber_params_cr.raman_coefficient
+    raman_coefficient_cr = \
+        raman_coefficient_cr.normalized_gamma_raman * fiber_params_cr._raman_reference_frequency
+
+    assert_allclose(raman_coefficient_explicit_g0, raman_coefficient_default_g0, rtol=1e-10)
+    assert_allclose(raman_coefficient_explicit_g0, raman_coefficient_cr, rtol=1e-10)

tests/test_parser.py

@@ -4,6 +4,7 @@
 # @Date:   2018-06-15
 
 """Adding tests to check the parser non regression
+
 convention of naming of test files:
 - ..._expected.json for the reference output
 tests:
@@ -46,8 +47,7 @@ equipment = load_equipment(eqpt_filename)
 
 }.items())
 def test_excel_json_generation(tmpdir, xls_input, expected_json_output):
-    """ tests generation of topology json
+    """tests generation of topology json"""
-    """
     xls_copy = Path(tmpdir) / xls_input.name
     shutil.copyfile(xls_input, xls_copy)
     convert_file(xls_copy)
@@ -68,9 +68,7 @@ def test_excel_json_generation(tmpdir, xls_input, expected_json_output):
                           DATA_DIR / 'testTopology_auto_design_expected.json',
                           }.items())
 def test_auto_design_generation_fromxlsgainmode(tmpdir, xls_input, expected_json_output):
-    """ tests generation of topology json
+    """tests generation of topology json and that the build network gives correct results in gain mode"""
-        test that the build network gives correct results in gain mode
-    """
     equipment = load_equipment(eqpt_filename)
     network = load_network(xls_input, equipment)
     # in order to test the Eqpt sheet and load gain target,
@@ -100,8 +98,7 @@ def test_auto_design_generation_fromxlsgainmode(tmpdir, xls_input, expected_json
                           True
                           }.items())
 def test_auto_design_generation_fromjson(tmpdir, json_input, power_mode):
-    """test that autodesign creates same file as an input file already autodesigned
+    """test that autodesign creates same file as an input file already autodesigned"""
-    """
     equipment = load_equipment(eqpt_filename)
     network = load_network(json_input, equipment)
     # in order to test the Eqpt sheet and load gain target,
@@ -127,8 +124,7 @@ def test_auto_design_generation_fromjson(tmpdir, json_input, power_mode):
     DATA_DIR / 'testService.xls': DATA_DIR / 'testService_services_expected.json'
 }.items())
 def test_excel_service_json_generation(xls_input, expected_json_output):
-    """ test services creation
+    """test services creation"""
-    """
     equipment = load_equipment(eqpt_filename)
     network = load_network(DATA_DIR / 'testTopology.xls', equipment)
     # Build the network once using the default power defined in SI in eqpt config
@@ -148,9 +144,7 @@ def test_excel_service_json_generation(xls_input, expected_json_output):
     (DATA_DIR / 'testTopology_response.json', )
 )
 def test_csv_response_generation(tmpdir, json_input):
-    """ tests if generated csv is consistant with expected generation
+    """tests if generated csv is consistant with expected generation same columns (order not important)"""
-        same columns (order not important)
-    """
     json_data = load_json(json_input)
     equipment = load_equipment(eqpt_filename)
     csv_filename = Path(tmpdir / json_input.name).with_suffix('.csv')
@@ -215,8 +209,7 @@ def test_csv_response_generation(tmpdir, json_input):
     DATA_DIR / 'testTopology.xls': DATA_DIR / 'testTopology_response.json',
 }.items())
 def test_json_response_generation(xls_input, expected_response_file):
-    """ tests if json response is correctly generated for all combinations of requests
+    """tests if json response is correctly generated for all combinations of requests"""
-    """
 
     equipment = load_equipment(eqpt_filename)
     network = load_network(xls_input, equipment)
@@ -323,8 +316,7 @@ def test_json_response_generation(xls_input, expected_response_file):
     ('trx Brest_KLA', 'trx Rennes_STA', 'Brest_KLA | trx Lannion_CAS', 'STRICT', 'Fail')
 ])
 def test_excel_ila_constraints(source, destination, route_list, hoptype, expected_correction):
-    """ add different kind of constraints to test all correct_route cases
+    """add different kind of constraints to test all correct_route cases"""
-    """
     service_xls_input = DATA_DIR / 'testTopology.xls'
     network_json_input = DATA_DIR / 'testTopology_auto_design_expected.json'
     equipment = load_equipment(eqpt_filename)
@@ -363,7 +355,8 @@ def test_excel_ila_constraints(source, destination, route_list, hoptype, expecte
         'nb_channel': 0,
         'power': 0,
         'path_bandwidth': 0,
-        'effective_freq_slot': None
+        'effective_freq_slot': None,
+        'equalization_offset_db': 0
     }
     request = PathRequest(**params)
 
@@ -376,8 +369,7 @@ def test_excel_ila_constraints(source, destination, route_list, hoptype, expecte
 
 
 def setup_per_degree(case):
-    """ common setup for degree: returns the dict network for different cases
+    """common setup for degree: returns the dict network for different cases"""
-    """
     json_network = load_json(DATA_DIR / 'testTopology_expected.json')
     json_network_auto = load_json(DATA_DIR / 'testTopology_auto_design_expected.json')
     if case == 'no':
@@ -401,8 +393,7 @@ def setup_per_degree(case):
 
 @pytest.mark.parametrize('case', ['no', 'all', 'Lannion_CAS and all', 'Lannion_CAS and one'])
 def test_target_pch_out_db_global(case):
-    """ check that per degree attributes are correctly created with global values if none are given
+    """check that per degree attributes are correctly created with global values if none are given"""
-    """
     json_network = setup_per_degree(case)
     per_degree = {}
     for elem in json_network['elements']:
@@ -442,14 +433,12 @@ def test_target_pch_out_db_global(case):
 
 
 def all_rows(sh, start=0):
-    """ reads excel sheet row per row
+    """reads excel sheet row per row"""
-    """
     return (sh.row(x) for x in range(start, sh.nrows))
 
 
 class Amp:
-    """ Node element contains uid, list of connected nodes and eqpt type
+    """Node element contains uid, list of connected nodes and eqpt type"""
-    """
 
     def __init__(self, uid, to_node, eqpt=None, west=None):
         self.uid = uid

tests/test_roadm_restrictions.py

@@ -31,10 +31,10 @@ NETWORK_FILE_NAME = TEST_DIR / 'data/testTopology_expected.json'
 # mark node_uid amps as fused for testing purpose
 @pytest.mark.parametrize("node_uid", ['east edfa in Lannion_CAS to Stbrieuc'])
 def test_no_amp_feature(node_uid):
-    ''' Check that booster is not placed on a roadm if fused is specified
+    """Check that booster is not placed on a roadm if fused is specified
     test_parser covers partly this behaviour. This test should guaranty that the
     feature is preserved even if convert is changed
-    '''
+    """
     equipment = load_equipment(EQPT_LIBRARY_NAME)
     json_network = load_json(NETWORK_FILE_NAME)
 
@@ -145,9 +145,9 @@ def equipment():
         'booster_variety_list':[]
     }])
 def test_restrictions(restrictions, equipment):
-    ''' test that restriction is correctly applied if provided in eqpt_config and if no Edfa type
+    """test that restriction is correctly applied if provided in eqpt_config and if no Edfa type
     were provided in the network json
-    '''
+    """
     # add restrictions
     equipment['Roadm']['default'].restrictions = restrictions
     # build network
@@ -212,11 +212,11 @@ def test_restrictions(restrictions, equipment):
 @pytest.mark.parametrize('power_dbm', [0, +1, -2])
 @pytest.mark.parametrize('prev_node_type, effective_pch_out_db', [('edfa', -20.0), ('fused', -22.0)])
 def test_roadm_target_power(prev_node_type, effective_pch_out_db, power_dbm):
-    ''' Check that egress power of roadm is equal to target power if input power is greater
+    """Check that egress power of roadm is equal to target power if input power is greater
     than target power else, that it is equal to input power. Use a simple two hops A-B-C topology
     for the test where the prev_node in ROADM B is either an amplifier or a fused, so that the target
     power can not be met in this last case.
-    '''
+    """
     equipment = load_equipment(EQPT_LIBRARY_NAME)
     json_network = load_json(TEST_DIR / 'data/twohops_roadm_power_test.json')
     prev_node = next(n for n in json_network['elements'] if n['uid'] == 'west edfa in node B to ila2')

tests/test_science_utils.py

@@ -9,10 +9,11 @@ are tested.
 from pathlib import Path
 from pandas import read_csv
 from numpy.testing import assert_allclose
-from numpy import array, genfromtxt
+from numpy import array
 import pytest
 
-from gnpy.core.info import create_input_spectral_information, create_arbitrary_spectral_information, Pref, ReferenceCarrier
+from gnpy.core.info import create_input_spectral_information, create_arbitrary_spectral_information, Pref, \
+    ReferenceCarrier
 from gnpy.core.elements import Fiber, RamanFiber
 from gnpy.core.parameters import SimParams
 from gnpy.tools.json_io import load_json
@@ -29,7 +30,8 @@ def test_fiber():
     # fix grid spectral information generation
     spectral_info_input = create_input_spectral_information(f_min=191.3e12, f_max=196.1e12, roll_off=0.15,
                                                             baud_rate=32e9, power=1e-3, spacing=50e9, tx_osnr=40.0,
-                                                            ref_carrier=ReferenceCarrier(baud_rate=32e9, slot_width=50e9))
+                                                            ref_carrier=
+                                                            ReferenceCarrier(baud_rate=32e9, slot_width=50e9))
     # propagation
     spectral_info_out = fiber(spectral_info_input)
 
@@ -107,7 +109,8 @@ def test_fiber_lumped_losses_srs(set_sim_params):
     # spectral information generation
     spectral_info_input = create_input_spectral_information(f_min=191.3e12, f_max=196.1e12, roll_off=0.15,
                                                             baud_rate=32e9, power=1e-3, spacing=50e9, tx_osnr=40.0,
-                                                            ref_carrier=ReferenceCarrier(baud_rate=32e9, slot_width=50e9))
+                                                            ref_carrier=
+                                                            ReferenceCarrier(baud_rate=32e9, slot_width=50e9))
 
     SimParams.set_params(load_json(TEST_DIR / 'data' / 'sim_params.json'))
     fiber = Fiber(**load_json(TEST_DIR / 'data' / 'test_lumped_losses_raman_fiber_config.json'))
@@ -118,18 +121,18 @@ def test_fiber_lumped_losses_srs(set_sim_params):
     stimulated_raman_scattering = RamanSolver.calculate_stimulated_raman_scattering(
         spectral_info_input, fiber)
     power_profile = stimulated_raman_scattering.power_profile
-    expected_power_profile = genfromtxt(TEST_DIR / 'data' / 'test_lumped_losses_fiber_no_pumps.csv', delimiter=',')
+    expected_power_profile = read_csv(TEST_DIR / 'data' / 'test_lumped_losses_fiber_no_pumps.csv', header=None)
     assert_allclose(power_profile, expected_power_profile, rtol=1e-3)
 
     # with Raman pumps
-    expected_power_profile = genfromtxt(TEST_DIR / 'data' / 'test_lumped_losses_raman_fiber.csv', delimiter=',')
+    expected_power_profile = read_csv(TEST_DIR / 'data' / 'test_lumped_losses_raman_fiber.csv', header=None)
     stimulated_raman_scattering = RamanSolver.calculate_stimulated_raman_scattering(
         spectral_info_input, raman_fiber)
     power_profile = stimulated_raman_scattering.power_profile
     assert_allclose(power_profile, expected_power_profile, rtol=1e-3)
 
     # without Stimulated Raman Scattering
-    expected_power_profile = genfromtxt(TEST_DIR / 'data' / 'test_lumped_losses_fiber_no_raman.csv', delimiter=',')
+    expected_power_profile = read_csv(TEST_DIR / 'data' / 'test_lumped_losses_fiber_no_raman.csv', header=None)
     stimulated_raman_scattering = RamanSolver.calculate_attenuation_profile(spectral_info_input, fiber)
     power_profile = stimulated_raman_scattering.power_profile
     assert_allclose(power_profile, expected_power_profile, rtol=1e-3)

tests/test_spectrum_assignment.py

@@ -20,7 +20,8 @@ from gnpy.core.elements import Roadm, Transceiver
 from gnpy.core.exceptions import ServiceError, SpectrumError
 from gnpy.topology.request import compute_path_dsjctn, find_reversed_path, deduplicate_disjunctions, PathRequest
 from gnpy.topology.spectrum_assignment import (build_oms_list, align_grids, nvalue_to_frequency,
-                                           bitmap_sum, Bitmap, spectrum_selection, pth_assign_spectrum)
+                                               bitmap_sum, Bitmap, spectrum_selection, pth_assign_spectrum,
+                                               build_path_oms_id_list, aggregate_oms_bitmap)
 from gnpy.tools.json_io import (load_equipment, load_network, requests_from_json, disjunctions_from_json,
                                 _check_one_request)
 
@@ -45,8 +46,7 @@ def equipment():
 
 @pytest.fixture()
 def setup(equipment):
-    """ common setup for tests: builds network, equipment and oms only once
+    """common setup for tests: builds network, equipment and oms only once"""
-    """
     network = load_network(NETWORK_FILENAME, equipment)
     spectrum = equipment['SI']['default']
     p_db = spectrum.power_dbm
@@ -150,8 +150,7 @@ def test_aligned(nmin, nmax, setup):
 @pytest.mark.parametrize('nval1', [0, 15, 24])
 @pytest.mark.parametrize('nval2', [8, 12])
 def test_assign_and_sum(nval1, nval2, setup):
-    """ checks that bitmap sum gives correct result
+    """checks that bitmap sum gives correct result"""
-    """
     network, oms_list = setup
     guardband = grid
     mval = 4  # slot in 12.5GHz
@@ -198,8 +197,7 @@ def test_assign_and_sum(nval1, nval2, setup):
 
 
 def test_bitmap_assignment(setup):
-    """ test that a bitmap can be assigned
+    """test that a bitmap can be assigned"""
-    """
     network, oms_list = setup
     random_oms = oms_list[2]
     random_oms.assign_spectrum(13, 7)
@@ -216,8 +214,7 @@ def test_bitmap_assignment(setup):
 
 @pytest.fixture()
 def services(equipment):
-    """ common setup for service list: builds service only once
+    """common setup for service list: builds service only once"""
-    """
     with open(SERVICE_FILENAME, encoding='utf-8') as my_f:
         services = json.loads(my_f.read())
     return services
@@ -225,25 +222,24 @@ def services(equipment):
 
 @pytest.fixture()
 def requests(equipment, services):
-    """ common setup for requests, builds requests list only once
+    """common setup for requests, builds requests list only once"""
-    """
     requests = requests_from_json(services, equipment)
     return requests
 
 
 def test_spectrum_assignment_on_path(equipment, setup, requests):
-    """ test assignment functions on path and network
+    """test assignment functions on path and network"""
-    """
     network, oms_list = setup
     req = [deepcopy(requests[1])]
     paths = compute_path_dsjctn(network, equipment, req, [])
-
+    first_path_oms = build_path_oms_id_list(paths[0])
     print(req)
     for nval in range(100):
         req = [deepcopy(requests[1])]
-        (center_n, startn, stopn), path_oms = spectrum_selection(paths[0], oms_list, 4)
+        test_oms = aggregate_oms_bitmap(first_path_oms, oms_list)
+        center_n, startn, stopn = spectrum_selection(test_oms, 4)
         pth_assign_spectrum(paths, req, oms_list, [find_reversed_path(paths[0])])
-        print(f'testing on following oms {path_oms}')
+        print(f'testing on following oms {first_path_oms}')
         # check that only 96 channels are feasible
         if nval >= 96:
             print(center_n, startn, stopn)
@@ -256,13 +252,15 @@ def test_spectrum_assignment_on_path(equipment, setup, requests):
 
     req = [requests[2]]
     paths = compute_path_dsjctn(network, equipment, req, [])
-    (center_n, startn, stopn), path_oms = spectrum_selection(paths[0], oms_list, 4, 478)
+    second_path_oms = build_path_oms_id_list(paths[0])
+    test_oms = aggregate_oms_bitmap(second_path_oms, oms_list)
+    center_n, startn, stopn = spectrum_selection(test_oms, 4, 478)
     print(oms_list[0].spectrum_bitmap.freq_index_max)
     print(oms_list[0])
     print(center_n, startn, stopn)
     print('spectrum selection error: should be None')
     assert center_n is None and startn is None and stopn is None
-    (center_n, startn, stopn), path_oms = spectrum_selection(paths[0], oms_list, 4, 477)
+    center_n, startn, stopn = spectrum_selection(test_oms, 4, 477)
     print(center_n, startn, stopn)
     print('spectrum selection error should not be None')
     assert center_n is not None and startn is not None and stopn is not None
@@ -270,8 +268,7 @@ def test_spectrum_assignment_on_path(equipment, setup, requests):
 
 @pytest.fixture()
 def request_set():
-    """ creates default request dict
+    """creates default request dict"""
-    """
     return {
         'request_id': '0',
         'source': 'trx a',
@@ -295,29 +292,28 @@ def request_set():
         'min_spacing': 37.5e9,
         'nb_channel': None,
         'power': 0,
-        'path_bandwidth': 800e9}
+        'path_bandwidth': 800e9,
+        'equalization_offset_db': 0}
 
 
 def test_freq_slot_exist(setup, equipment, request_set):
-    """ test that assignment works even if effective_freq_slot is not populated
+    """test that assignment works even if effective_freq_slot is not populated"""
-    """
     network, oms_list = setup
     params = request_set
-    params['effective_freq_slot'] = None
+    params['effective_freq_slot'] = [{'N': None, 'M': None}]
     rqs = [PathRequest(**params)]
     paths = compute_path_dsjctn(network, equipment, rqs, [])
     pth_assign_spectrum(paths, rqs, oms_list, [find_reversed_path(paths[0])])
-    assert rqs[0].N == -256
+    assert rqs[0].N == [-256]
-    assert rqs[0].M == 32
+    assert rqs[0].M == [32]
 
 
 def test_inconsistant_freq_slot(setup, equipment, request_set):
-    """ test that an inconsistant M correctly raises an error
+    """test that an inconsistant M correctly raises an error"""
-    """
     network, oms_list = setup
     params = request_set
     # minimum required nb of slots is 32 (800Gbit/100Gbit/s channels each occupying 50GHz ie 4 slots)
-    params['effective_freq_slot'] = {'N': 0, 'M': 4}
+    params['effective_freq_slot'] = [{'N': 0, 'M': 4}]
     with pytest.raises(ServiceError):
         _check_one_request(params, 196.05e12)
     params['trx_mode'] = None
@@ -327,27 +323,59 @@ def test_inconsistant_freq_slot(setup, equipment, request_set):
     assert rqs[0].blocking_reason == 'NOT_ENOUGH_RESERVED_SPECTRUM'
 
 
-@pytest.mark.parametrize('n, m, final_n, final_m, blocking_reason', [
+@pytest.mark.parametrize('req_n, req_m, final_n, final_m, blocking_reason, raises_error', [
     # regular requests that should be correctly assigned:
-    (-100, 32, -100, 32, None),
+    ([-100], [32], [-100], [32], None, False),
-    (150, 50, 150, 50, None),
+    ([150], [50], [150], [50], None, False),
     # if n is None, there should be an assignment (enough spectrum cases)
     # and the center frequency should be set on the lower part of the spectrum based on m value if it exists
     # or based on 32
-    (None, 32, -256, 32, None),
+    ([None], [32], [-256], [32], None, False),
-    (None, 40, -248, 40, None),
+    ([None], [40], [-248], [40], None, False),
-    (-100, None, -100, 32, None),
+    ([-100], [None], [-100], [32], None, False),
-    (None, None, -256, 32, None),
+    ([None], [None], [-256], [32], None, False),
     # -280 and 60 center indexes should result in unfeasible spectrum, either out of band or
     # overlapping with occupied spectrum. The requested spectrum is not available
-    (-280, None, None, None, 'NO_SPECTRUM'),
+    ([None], [300], None, None, 'NO_SPECTRUM', False),
-    (-60, 40, None, None, 'NO_SPECTRUM'),
+    ([-280], [None], None, None, 'NO_SPECTRUM', False),
+    ([-60], [40], None, None, 'NO_SPECTRUM', False),
+    # raises service error: M value too small
+    ([-60], [3], None, None, 'NOT_ENOUGH_RESERVED_SPECTRUM', True),
     # 20 is smaller than min 32 required nb of slots so should also be blocked
-    (-60, 20, None, None, 'NOT_ENOUGH_RESERVED_SPECTRUM')
+    ([-60], [20], None, None, 'NOT_ENOUGH_RESERVED_SPECTRUM', False),
+    # multiple assignments
+    ([-100, -164], [16, 16], [-100, -164], [16, 16], None, False),
+    ([-100, -164], [32, 32], [-100, -164], [32, 32], None, False),
+    ([-100, -164], [None, None], [-164], [32], None, False),
+    ([None, None], [16, 16], [-272, -240], [16, 16], None, False),
+    ([None, None, None], [16, 16, None], [-272, -240], [16, 16], None, False),
+    ([None, None], [None, None], [-256], [32], None, False),
+    ([-272, None], [16, 16], [-272, -240], [16, 16], None, False),
+    ([-272, 100], [None, 16], [-272, 100], [16, 16], None, False),
+    # first assign defined Ms whatever the N (but order them), and then uses imposed N. Fill in with the max
+    # available nb of slots (centered on N).
+    ([-88, -100, -116, None], [8, None, 12, None], [-88, -100, -116, -280], [8, 4, 12, 8], None, False),
+    # If no M is defined, uses th Ns to fill in with the max possible nb of slots (with respecte to request,
+    # here it is 32 slots)
+    ([-88, -106, -116, None], [None, None, None, None], [-116], [32], None, False),
+    # if one defined N, M is not applicable then blocks the spectrum (even f other slots are OK)
+    # only 2 slots remains between  -104 (-100 - 4) and -108 (-112 + 4). So (-106, None) is not feasible, because min
+    # required M is 4 for Voyager, Mode 1
+    ([-100, -106, -112], [4, None, 4], None, None, 'NO_SPECTRUM', False),
+    # required nb of channels is 8 with 4 slots each. Next two spectrum are not providing enough spectrum
+    # raises service error: not enough nb of channels
+    ([-88, -100, -116], [4, 4, 4], None, None, 'NOT_ENOUGH_RESERVED_SPECTRUM', True),
+    ([-88, -100, -116], [4, None, 4], None, None, 'NO_SPECTRUM', False),
+    # only 4 slots remains between -96 (-88 -8) and -104 (-116 + 12), and centered on -100, so N = -101 is not
+    # feasible whatever the M.
+    ([-88, -101, -116, None], [8, 4, 12, None], None, None, 'NO_SPECTRUM', False),
+    ([-88, -101, -116, -250], [4, 4, 12, 12], None, None, 'NO_SPECTRUM', False),
+    ([-88, -101, -116, None], [8, None, 12, None], None, None, 'NO_SPECTRUM', False),
+    # raises service error: slots overlap
+    ([-88, -81, -116, -136], [8, 8, 12, 8], None, None, 'NO_SPECTRUM', True),
 ])
-def test_n_m_requests(setup, equipment, n, m, final_n, final_m, blocking_reason, request_set):
+def test_n_m_requests(setup, equipment, req_n, req_m, final_n, final_m, blocking_reason, raises_error, request_set):
-    """ test that various N and M values for a request end up with the correct path assgnment
+    """test that various N and M values for a request end up with the correct path assignment"""
-    """
     network, oms_list = setup
     # add an occupation on one of the span of the expected path OMS list on both directions
     # as defined by its offsets within the OMS list: [17, 20, 13, 22] and reversed path [19, 16, 21, 26]
@@ -356,7 +384,10 @@ def test_n_m_requests(setup, equipment, n, m, final_n, final_m, blocking_reason,
     some_oms = oms_list[expected_oms[3]]
     some_oms.assign_spectrum(-30, 32)    # means that spectrum is occupied from indexes -62 to 1 on reversed path
     params = request_set
-    params['effective_freq_slot'] = {'N': n, 'M': m}
+    params['effective_freq_slot'] = [{'N': n, 'M': m} for n, m in zip(req_n, req_m)]
+    if raises_error:
+        with pytest.raises(ServiceError):
+            _check_one_request(params, 196.3e12)
     rqs = [PathRequest(**params)]
 
     paths = compute_path_dsjctn(network, equipment, rqs, [])
@@ -372,9 +403,7 @@ def test_n_m_requests(setup, equipment, n, m, final_n, final_m, blocking_reason,
 
 
 def test_reversed_direction(equipment, setup, requests, services):
-    """ checks that if spectrum is selected on one direction it is also selected on reversed
+    """checks that if spectrum is selected on one direction it is also selected on reversed direction"""
-        direction
-    """
     network, oms_list = setup
     dsjn = disjunctions_from_json(services)
     dsjn = deduplicate_disjunctions(dsjn)
@@ -392,8 +421,9 @@ def test_reversed_direction(equipment, setup, requests, services):
         if pth:
             number_wl = ceil(requests[i].path_bandwidth / requests[i].bit_rate)
             requested_m = ceil(requests[i].spacing / slot) * number_wl
-            (center_n, startn, stopn), path_oms = spectrum_selection(pth, oms_list, requested_m,
+            path_oms = build_path_oms_id_list(pth)
-                                                                     requested_n=None)
+            test_oms = aggregate_oms_bitmap(path_oms, oms_list)
+            center_n, startn, stopn = spectrum_selection(test_oms, requested_m, requested_n=None)
             spectrum_list.append([center_n, startn, stopn])
         else:
             spectrum_list.append([])