fix: remove unused invocation test file

Wrongly added by commit #4a071c5

Signed-off-by: EstherLerouzic <esther.lerouzic@orange.com>
Change-Id: I337b8d4560cd7f2634fca7d242783da327127de5

.docker-travis.sh

@@ -1,47 +0,0 @@
-#!/bin/bash
-
-set -e
-
-IMAGE_NAME=telecominfraproject/oopt-gnpy
-IMAGE_TAG=$(git describe --tags)
-
-ALREADY_FOUND=0
-docker pull ${IMAGE_NAME}:${IMAGE_TAG} && ALREADY_FOUND=1
-
-if [[ $ALREADY_FOUND == 0 ]]; then
-  docker build . -t ${IMAGE_NAME}
-  docker tag ${IMAGE_NAME} ${IMAGE_NAME}:${IMAGE_TAG}
-
-  # shared directory setup: do not clobber the real data
-  mkdir trash
-  cd trash
-  docker run -it --rm --volume $(pwd):/shared ${IMAGE_NAME} gnpy-transmission-example
-else
-  echo "Image ${IMAGE_NAME}:${IMAGE_TAG} already available, will just update the other tags"
-fi
-
-docker images
-
-do_docker_login() {
-  echo "${DOCKER_PASSWORD}" | docker login -u "${DOCKER_USERNAME}" --password-stdin
-}
-
-if [[ "${TRAVIS_PULL_REQUEST}" == "false" ]]; then
-  if [[ "${TRAVIS_BRANCH}" == "develop" || "${TRAVIS_BRANCH}" == "docker" ]]; then
-    echo "Publishing latest"
-    docker tag ${IMAGE_NAME}:${IMAGE_TAG} ${IMAGE_NAME}:latest
-    do_docker_login
-    if [[ $ALREADY_FOUND == 0 ]]; then
-      docker push ${IMAGE_NAME}:${IMAGE_TAG}
-    fi
-    docker push ${IMAGE_NAME}:latest
-  elif [[ "${TRAVIS_BRANCH}" == "master" ]]; then
-    echo "Publishing stable"
-    docker tag ${IMAGE_NAME}:${IMAGE_TAG} ${IMAGE_NAME}:stable
-    do_docker_login
-    if [[ $ALREADY_FOUND == 0 ]]; then
-      docker push ${IMAGE_NAME}:${IMAGE_TAG}
-    fi
-    docker push ${IMAGE_NAME}:stable
-  fi
-fi

.github/workflows/main.yml

@@ -11,23 +11,26 @@ jobs:
     name: Tox test
     runs-on: ubuntu-latest
     steps:
-      - uses: actions/checkout@v2
+      - uses: actions/checkout@v3
         with:
           fetch-depth: 0
-      - uses: fedora-python/tox-github-action@v0.4
+      - uses: fedora-python/tox-github-action@v37.0
         with:
           tox_env: ${{ matrix.tox_env }}
           dnf_install: ${{ matrix.dnf_install }}
-      - uses: codecov/codecov-action@29386c70ef20e286228c72b668a06fd0e8399192
+      - uses: codecov/codecov-action@v3.1.1
         if: ${{ endswith(matrix.tox_env, '-cover') }}
         with:
           files: ${{ github.workspace }}/cover/coverage.xml
     strategy:
+      fail-fast: false
       matrix:
         tox_env:
           - py38
           - py39
-          - py310-cover
+          - py310
+          - py311
+          - py312-cover
         include:
           - tox_env: docs
             dnf_install: graphviz
@@ -38,13 +41,13 @@ jobs:
     name: PyPI packaging
     runs-on: ubuntu-latest
     steps:
-      - uses: actions/checkout@v2
+      - uses: actions/checkout@v3
         with:
           fetch-depth: 0
-      - uses: actions/setup-python@v2
+      - uses: actions/setup-python@v4
         name: Install Python
         with:
-          python-version: '3.10'
+          python-version: '3.12'
       - uses: casperdcl/deploy-pypi@bb869aafd89f657ceaafe9561d3b5584766c0f95
         with:
           password: ${{ secrets.PYPI_API_TOKEN }}
@@ -62,7 +65,7 @@ jobs:
         with:
           username: jktjkt
           password: ${{ secrets.DOCKERHUB_TOKEN }}
-      - uses: actions/checkout@v2
+      - uses: actions/checkout@v3
         with:
           fetch-depth: 0
       - name: Extract tag name
@@ -92,21 +95,51 @@ jobs:
             telecominfraproject/oopt-gnpy:${{ steps.extract_tag_name.outputs.GIT_DESC }}
             telecominfraproject/oopt-gnpy:latest
 
-  windows:
-    name: Tests on Windows
-    runs-on: windows-2019
+  other-platforms:
+    name: Tests on other platforms
+    runs-on: ${{ matrix.os }}
     steps:
-      - uses: actions/checkout@v2
+      - uses: actions/checkout@v3
         with:
           fetch-depth: 0
-      - uses: actions/setup-python@v2
+      - uses: actions/setup-python@v4
         with:
           python-version: ${{ matrix.python_version }}
       - run: |
-          pip install --editable .
-          pip install 'pytest>=6.2.5,<7'
+          pip install --editable .[tests]
           pytest -vv
     strategy:
+      fail-fast: false
       matrix:
-        python_version:
-          - "3.10"
+        include:
+          - os: windows-2019
+            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 --editable .[tests]
+          pytest -vv
+    strategy:
+      fail-fast: false
+      matrix:
+        include:
+          - os: macos-13-xlarge # Apple M1 CPU
+            python_version: "3.12"

.readthedocs.yml

@@ -1,5 +1,17 @@
+version: 2
 build:
-    image: latest
+  os: ubuntu-22.04
+  tools:
+    python: "3.12"
+  apt_packages:
+    - graphviz
+
 python:
-    version: 3.8
-requirements_file: docs/requirements.txt
+  install:
+    - method: pip
+      path: .
+      extra_requirements:
+        - docs
+
+sphinx:
+  configuration: docs/conf.py

.travis.yml

@@ -1,27 +0,0 @@
-dist: focal
-os: linux
-language: python
-services: docker
-python:
-  - "3.8"
-  - "3.9"
-before_install:
-  - sudo apt-get -y install graphviz
-install: skip
-script:
-  - pip install --editable .
-  - pip install pytest-cov rstcheck
-  - pytest --cov-report=xml --cov=gnpy -v
-  - pip install -r docs/requirements.txt
-  - rstcheck --ignore-roles cite *.rst
-  - sphinx-build -W --keep-going docs/ x-throwaway-location
-after_success:
-  - bash <(curl -s https://codecov.io/bash)
-jobs:
-  include:
-    - stage: test
-      name: Docker image
-      script:
-        - git fetch --unshallow
-        - ./.docker-travis.sh
-        - docker images

.zuul.yaml

@@ -2,10 +2,18 @@
 - project:
     check:
       jobs:
-        - tox-py38
-        - tox-py39
-        - tox-py310-cover
-        - tox-docs-f35
+        - tox-py38:
+            vars:
+              ensure_tox_version: '<4'
+        - tox-py39:
+            vars:
+              ensure_tox_version: '<4'
+        - tox-py310-cover:
+            vars:
+              ensure_tox_version: '<4'
+        - tox-docs-f36:
+            vars:
+              ensure_tox_version: '<4'
         - coverage-diff:
             voting: false
             dependencies:
@@ -16,7 +24,11 @@
               coverage_job_name_current: tox-py310-cover
         - tox-linters-diff-n-report:
             voting: false
-        - tox-py310-cover-previous
+            vars:
+              ensure_tox_version: '<4'
+        - tox-py310-cover-previous:
+            vars:
+              ensure_tox_version: '<4'
     tag:
       jobs:
         - oopt-release-python:

AUTHORS.rst

@@ -11,18 +11,21 @@ To learn how to contribute, please see CONTRIBUTING.md
 - Brian Taylor (Facebook) <briantaylor@fb.com>
 - David Boertjes (Ciena) <dboertje@ciena.com>
 - Diego Landa (Facebook) <dlanda@fb.com>
+- Emmanuelle Delfour (Orange) <WEDE7391@orange.com>
 - Esther Le Rouzic (Orange) <esther.lerouzic@orange.com>
 - Gabriele Galimberti (Cisco) <ggalimbe@cisco.com>
 - Gert Grammel (Juniper Networks) <ggrammel@juniper.net>
+- Giacomo Borraccini (Politecnico di Torino) <giacomo.borraccini@polito.it>
 - Gilad Goldfarb (Facebook) <giladg@fb.com>
 - James Powell (Telecom Infra Project) <james.powell@telecominfraproject.com>
-- Jan Kundrát (Telecom Infra Project) <jan.kundrat@telecominfraproject.com>
+- Jan Kundrát (Telecom Infra Project) <jkt@jankundrat.com>
 - Jeanluc Augé (Orange) <jeanluc.auge@orange.com>
 - Jonas Mårtensson (RISE) <jonas.martensson@ri.se>
 - Mattia Cantono (Politecnico di Torino) <mattia.cantono@polito.it>
 - Miguel Garrich (University Catalunya) <miquel.garrich@upct.es>
 - Raj Nagarajan (Lumentum) <raj.nagarajan@lumentum.com>
 - Roberts Miculens (Lattelecom) <roberts.miculens@lattelecom.lv>
+- Sami Alavi (NUST) <sami.mansooralavi1999@gmail.com>
 - Shengxiang Zhu (University of Arizona) <szhu@email.arizona.edu>
 - Stefan Melin (Telia Company) <Stefan.Melin@teliacompany.com>
 - Vittorio Curri (Politecnico di Torino) <vittorio.curri@polito.it>

README.md

@@ -3,12 +3,12 @@
 [![Install via pip](https://img.shields.io/pypi/v/gnpy)](https://pypi.org/project/gnpy/)
 [![Python versions](https://img.shields.io/pypi/pyversions/gnpy)](https://pypi.org/project/gnpy/)
 [![Documentation status](https://readthedocs.org/projects/gnpy/badge/?version=master)](http://gnpy.readthedocs.io/en/master/?badge=master)
-[![GitHub Workflow Status](https://img.shields.io/github/workflow/status/Telecominfraproject/oopt-gnpy/build)](https://github.com/Telecominfraproject/oopt-gnpy/actions/workflows/main.yml)
+[![GitHub Workflow Status](https://img.shields.io/github/actions/workflow/status/Telecominfraproject/oopt-gnpy/main.yml)](https://github.com/Telecominfraproject/oopt-gnpy/actions/workflows/main.yml)
 [![Gerrit](https://img.shields.io/badge/patches-via%20Gerrit-blue)](https://review.gerrithub.io/q/project:Telecominfraproject/oopt-gnpy+is:open)
 [![Contributors](https://img.shields.io/github/contributors-anon/Telecominfraproject/oopt-gnpy)](https://github.com/Telecominfraproject/oopt-gnpy/graphs/contributors)
-[![Code Quality via LGTM.com](https://img.shields.io/lgtm/grade/python/github/Telecominfraproject/oopt-gnpy)](https://lgtm.com/projects/g/Telecominfraproject/oopt-gnpy/)
 [![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%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.
@@ -23,7 +23,9 @@ Read our [documentation](https://gnpy.readthedocs.io/), learn from the demos, an
 
 This example demonstrates how GNPy can be used to check the expected SNR at the end of the line by varying the channel input power:
 
-![Running a simple simulation example](https://telecominfraproject.github.io/oopt-gnpy/docs/images/transmission_main_example.svg)
+![Running a simple simulation example](docs/images/gnpy-transmission-example.svg)
 
 GNPy can do much more, including acting as a Path Computation Engine, tracking bandwidth requests, or advising the SDN controller about a best possible path through a large DWDM network.
-Learn more about this [in the documentation](https://gnpy.readthedocs.io/).
+Learn more about this [in the documentation](https://gnpy.readthedocs.io/), or give it a [try online at `gnpy.app`](https://gnpy.app/):
+
+[![Path propagation at gnpy.app](docs/images/2022-04-12-gnpy-app.png)](https://gnpy.app/)

docs/about-project.md

@@ -12,7 +12,7 @@ We encourage all interested people outside the TIP to [join the project](https:/
 
 `gnpy` is looking for additional contributors, especially those with experience planning and maintaining large-scale, real-world mesh optical networks.
 
-To get involved, please contact [Jan Kundrát](mailto:jan.kundrat@telecominfraproject.com) or [Gert Grammel](mailto:ggrammel@juniper.net).
+To get involved, please contact [Jan Kundrát](mailto:jkt@jankundrat.com) or [Gert Grammel](mailto:ggrammel@juniper.net).
 
 `gnpy` contributions are currently limited to members of [TIP](http://telecominfraproject.com).
 Membership is free and open to all.

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/concepts.rst

@@ -29,7 +29,7 @@ This path is directional, and all "GNPy elements" along the path match the unidi
 
 The network topology contains not just the physical topology of the network, but also references to the :ref:`equipment library<concepts-equipment>` and a set of *operating parameters* for each entity.
 These parameters include the **fiber length** of each fiber, the connector **attenutation losses**, or an amplifier's specific **gain setting**.
-The topology is specified via :ref:`XLS files<excel>` or via :ref:`JSON<json>`.
+The topology is specified via :ref:`XLS files<excel>` or via :ref:`JSON<legacy-json>`.
 
 .. _complete-vs-incomplete:
 

docs/conf.py

@@ -65,7 +65,7 @@ author = 'Telecom Infra Project - OOPT PSE Group'
 #
 # This is also used if you do content translation via gettext catalogs.
 # Usually you set "language" from the command line for these cases.
-language = None
+language = 'en'
 
 # List of patterns, relative to source directory, that match files and
 # directories to ignore when looking for source files.
@@ -84,18 +84,11 @@ todo_include_todos = False
 # The theme to use for HTML and HTML Help pages.  See the documentation for
 # a list of builtin themes.
 #
-on_rtd = os.environ.get('READTHEDOCS') == 'True'
-if on_rtd:
-    html_theme = 'default'
-    html_theme_options = {
-        'logo_only': True,
-    }
-else:
-    html_theme = 'alabaster'
-    html_theme_options = {
+html_theme = 'alabaster'
+html_theme_options = {
     'logo': 'images/GNPy-logo.png',
     'logo_name': False,
-    }
+}
 
 html_logo = 'images/GNPy-logo.png'
 

docs/extending.rst

@@ -91,7 +91,8 @@ Advanced Specification
 **********************
 
 The amplifier performance can be further described in terms of gain ripple, NF ripple, and the dynamic gain tilt.
-When provided, the amplifier characteristic is fine-tuned as a function of carrier frequency.
+When provided, the amplifier characteristic is fine-tuned as a function of carrier frequency. Note that in this advanced
+specification tilt is defined vs frequency while tilt_target specified in EDFA instances is defined vs wavelength.
 
 .. _extending-raman:
 
@@ -100,10 +101,10 @@ Raman Amplifiers
 
 An accurate simulation of Raman amplification requires knowledge of:
 
-- the *power* and *wavelength* of all Raman pumping lasers,
-- the *direction*, whether it is co-propagating or counter-propagating,
-- the Raman efficiency of the fiber,
-- the fiber temperature.
+* the *power* and *wavelength* of all Raman pumping lasers,
+* the *direction*, whether it is co-propagating or counter-propagating,
+* the Raman efficiency of the fiber,
+* the fiber temperature.
 
 Under certain scenarios it is useful to be able to run a simulation without an accurate Raman description.
 For these purposes, it is possible to approximate a Raman amplifier via a fixed-gain EDFA with the :ref:`polynomial NF<ext-nf-model-polynomial-NF>` model using :math:`\text{a} = \text{b} = \text{c} = 0`, and a desired effective :math:`\text{d} = NF`.
@@ -119,38 +120,32 @@ A *mode* usually refers to a particular performance point that is defined by a c
 
 The following data are required for each mode:
 
-``bit-rate``
-  Data bit rate, in :math:`\text{Gbits}\times s^{-1}`.
-``baud-rate``
-  Symbol modulation rate, in :math:`\text{Gbaud}`.
-``required-osnr``
-  Minimal allowed OSNR for the receiver.
+``bit_rate``
+  Data bit rate, in :math:`\text{bits}\times s^{-1}`.
+``baud_rate``
+  Symbol modulation rate, in :math:`\text{baud}`.
+``OSNR``
+  Minimal required OSNR for the receiver. In :math:`\text{dB}`
 ``tx-osnr``
-  Initial OSNR at the transmitter's output.
-``grid-spacing``
+  Initial OSNR at the transmitter's output. In :math:`\text{dB}`
+``min-spacing``
   Minimal grid spacing, i.e., an effective channel spectral bandwidth.
   In :math:`\text{Hz}`.
-``tx-roll-off``
+``roll-off``
   Roll-off parameter (:math:`\beta`) of the TX pulse shaping filter.
   This assumes a raised-cosine filter.
 ``rx-power-min`` and ``rx-power-max``
-  The allowed range of power at the receiver.
+  (work in progress) The allowed range of power at the receiver.
   In :math:`\text{dBm}`.
-``cd-max``
-  Maximal allowed Chromatic Dispersion (CD).
-  In :math:`\text{ps}/\text{nm}`.
-``pmd-max``
-  Maximal allowed Polarization Mode Dispersion (PMD).
-  In :math:`\text{ps}`.
-``cd-penalty``
-  *Work-in-progress.*
-  Describes the increase of the requires GSNR as the :abbr:`CD (Chromatic Dispersion)` deteriorates.
-``dgd-penalty``
-  *Work-in-progress.*
-  Describes the increase of the requires GSNR as the :abbr:`DGD (Differential Group Delay)` deteriorates.
-``pmd-penalty``
-  *Work-in-progress.*
-  Describes the increase of the requires GSNR as the :abbr:`PMD (Polarization Mode Dispersion)` deteriorates.
+``penalties``
+  Impairments such as Chromatic Dispersion (CD), Polarization Mode Dispersion (PMD), and Polarization Dispersion Loss (PDL)
+  result in penalties at the receiver. The receiver's ability to handle these impairments can be defined for each mode as
+  a list of {impairment: in defined units, 'penalty_value' in dB} (see `transceiver section here <json.rst#_transceiver>`).
+  Maximum allowed CD, maximum allowed PMD, and maximum allowed PDL should be listed there with corresponding penalties.
+  Impairments experienced during propagation are linearly interpolated between given points to obtain the corresponding penalty.
+  The accumulated penalties are subtracted from the path GSNR before comparing with the minimum required OSNR.
+  Impairments: PMD in :math:`\text{ps}`, CD in :math:`\text{ps/nm}`, PDL in :math:`\text{dB}`, penalty_value in :math:`\text{dB}`
+
 
 GNPy does not directly track the FEC performance, so the type of chosen FEC is likely indicated in the *name* of the selected transponder mode alone.
 
@@ -168,6 +163,7 @@ The set of parameters for each ROADM model therefore includes:
   Per-channel target TX power towards the egress amplifier.
   Within GNPy, a ROADM is expected to attenuate any signal that enters the ROADM node to this level.
   This can be overridden on a per-link in the network topology.
+  Targets can be set using power or power spectral density (see `roadm section here <json.rst#__roadm>`)
 ``pmd``
   Polarization mode dispersion (PMD) penalty of the express path.
   In :math:`\text{ps}`.

docs/index.rst

@@ -17,6 +17,7 @@ in real-world mesh optical networks. It is based on the Gaussian Noise Model.
    about-project
    model
    gnpy-api
+   release-notes
 
 Indices and tables
 ==================

docs/intro.rst

@@ -10,32 +10,33 @@ fully-functional programs.
 
     **Note**: *If you are a network operator or involved in route planning and
     optimization for your organization, please contact project maintainer Jan
-    Kundrát <jan.kundrat@telecominfraproject.com>. gnpy is looking for users with
+    Kundrát <jkt@jankundrat.com>. gnpy is looking for users with
     specific, delineated use cases to drive requirements for future
     development.*
 
-This example demonstrates how GNPy can be used to check the expected SNR at the end of the line by varying the channel input power:
+This example demonstrates how GNPy can be used to check the expected SNR at the end of the line by varying the channel input power,
+or to run a planning script to check SNR of several services:
 
-.. image:: https://telecominfraproject.github.io/oopt-gnpy/docs/images/transmission_main_example.svg
+.. image:: images/gnpy-transmission-example.svg
    :width: 100%
    :align: left
    :alt: Running a simple simulation example
 
-By default, this script operates on a single span network defined in
-`gnpy/example-data/edfa_example_network.json <gnpy/example-data/edfa_example_network.json>`_
+By default, the gnpy-transmission-example script operates on a single span network defined in
+`gnpy/example-data/edfa_example_network.json <../gnpy/example-data/edfa_example_network.json>`_
 
 You can specify a different network at the command line as follows. For
 example, to use the CORONET Global network defined in
-`gnpy/example-data/CORONET_Global_Topology.json <gnpy/example-data/CORONET_Global_Topology.json>`_:
+`gnpy/example-data/CORONET_Global_Topology.json <../gnpy/example-data/CORONET_Global_Topology.json>`_:
 
 .. code-block:: shell-session
 
     $ gnpy-transmission-example $(gnpy-example-data)/CORONET_Global_Topology.json
 
 It is also possible to use an Excel file input (for example
-`gnpy/example-data/CORONET_Global_Topology.xls <gnpy/example-data/CORONET_Global_Topology.xls>`_).
+`gnpy/example-data/CORONET_Global_Topology.xls <../gnpy/example-data/CORONET_Global_Topology.xls>`_).
 The Excel file will be processed into a JSON file with the same prefix.
-Further details about the Excel data structure are available `in the documentation <docs/excel.rst>`__.
+Further details about the Excel data structure are available `in the documentation <excel.rst>`__.
 
 The main transmission example will calculate the average signal OSNR and SNR
 across network elements (transceiver, ROADMs, fibers, and amplifiers)
@@ -56,10 +57,10 @@ interference noise.
 Further Instructions for Use
 ----------------------------
 
-Simulations are driven by a set of `JSON <docs/json.rst>`__ or `XLS <docs/excel.rst>`__ files.
+Simulations are driven by a set of `JSON <json.rst>`__ or `XLS <excel.rst>`__ files.
 
 The ``gnpy-transmission-example`` script propagates a spectrum of channels at 32 Gbaud, 50 GHz spacing and 0 dBm/channel. 
-Launch power can be overridden by using the ``--power`` argument.
+Launch power in fiber spans can be overridden by using the ``--power`` argument.
 Spectrum information is not yet parametrized but can be modified directly in the ``eqpt_config.json`` (via the ``SpectralInformation`` -SI- structure) to accommodate any baud rate or spacing.
 The number of channel is computed based on ``spacing`` and ``f_min``, ``f_max`` values.
 
@@ -71,8 +72,8 @@ An experimental support for Raman amplification is available:
        $(gnpy-example-data)/raman_edfa_example_network.json \
        --sim $(gnpy-example-data)/sim_params.json --show-channels
 
-Configuration of Raman pumps (their frequencies, power and pumping direction) is done via the `RamanFiber element in the network topology <gnpy/example-data/raman_edfa_example_network.json>`_.
-General numeric parameters for simulation control are provided in the `gnpy/example-data/sim_params.json <gnpy/example-data/sim_params.json>`_.
+Configuration of Raman pumps (their frequencies, power and pumping direction) is done via the `RamanFiber element in the network topology <../gnpy/example-data/raman_edfa_example_network.json>`_.
+General numeric parameters for simulation control are provided in the `gnpy/example-data/sim_params.json <../gnpy/example-data/sim_params.json>`_.
 
 Use ``gnpy-path-request`` to request several paths at once:
 
@@ -82,7 +83,7 @@ Use ``gnpy-path-request`` to request several paths at once:
      $ gnpy-path-request -o output_file.json \
        meshTopologyExampleV2.xls meshTopologyExampleV2_services.json
 
-This program operates on a network topology (`JSON <docs/json.rst>`__ or `Excel <docs/excel.rst>`__ format), processing the list of service requests (JSON or XLS again).
+This program operates on a network topology (`JSON <json.rst>`__ or `Excel <excel.rst>`__ format), processing the list of service requests (JSON or XLS again).
 The service requests and reply formats are based on the `draft-ietf-teas-yang-path-computation-01 <https://tools.ietf.org/html/draft-ietf-teas-yang-path-computation-01>`__ with custom extensions (e.g., for transponder modes).
 An example of the JSON input is provided in file `service-template.json`, while results are shown in `path_result_template.json`.
 

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.

docs/release-notes.rst

@@ -0,0 +1,269 @@
+.. _release-notes:
+
+Release change log
+==================
+
+Each release introduces some changes and new features.
+
+(prepare text for next release)
+ROADM impairments can be defined per degree and roadm-path type (add, drop or express).
+Minimum loss when crossing a ROADM is no more 0 dB. It can be set per ROADM degree with roadm-path-impairments.
+
+The transceiver output power, which was previously set using the same parameter as the input span power (power_dbm),
+can now be set using a different parameter. It can be set as:
+
+  - for all channels, with tx_power_dbm using SI similarly to tx_osnr (gnpy-transmission-example script)
+
+    .. code-block:: json
+
+      "SI": [{
+              "f_min": 191.35e12,
+              "baud_rate": 32e9,
+              "f_max": 196.1e12,
+              "spacing": 50e9,
+              "power_dbm": 3,
+              "power_range_db": [0, 0, 1],
+              "roll_off": 0.15,
+              "tx_osnr": 40,
+              "tx_power_dbm": -10,
+              "sys_margins": 2
+          }
+      ]
+
+  - for certain channels, using -spectrum option and tx_channel_power_dbm option (gnpy-transmission-example script).
+
+    .. code-block:: json
+
+      {
+        "spectrum": [
+          {
+            "f_min": 191.35e12,
+            "f_max":193.1e12,
+            "baud_rate": 32e9,
+            "slot_width": 50e9,
+            "power_dbm": 0,
+            "roll_off": 0.15,
+            "tx_osnr": 40
+          },
+          {
+            "f_min": 193.15e12,
+            "f_max":193.15e12,
+            "baud_rate": 32e9,
+            "slot_width": 50e9,
+            "power_dbm": 0,
+            "roll_off": 0.15,
+            "tx_osnr": 40,
+            "tx_power_dbm": -10
+          },
+          {
+            "f_min": 193.2e12,
+            "f_max":195.1e12,
+            "baud_rate": 32e9,
+            "slot_width": 50e9,
+            "power_dbm": 0,
+            "roll_off": 0.15,
+            "tx_osnr": 40
+          }
+        ]
+      }
+
+  - per service using the additional parameter ``tx_power`` which similarly to ``power`` should be defined in Watt (gnpy-path-request script)
+
+    .. code-block:: json
+
+      {
+        "path-request": [
+          {
+            "request-id": "0",
+            "source": "trx SITE1",
+            "destination": "trx SITE2",
+            "src-tp-id": "trx SITE1",
+            "dst-tp-id": "trx SITE2",
+            "bidirectional": false,
+            "path-constraints": {
+              "te-bandwidth": {
+                "technology": "flexi-grid",
+                "trx_type": "Voyager",
+                "trx_mode": "mode 1",
+                "spacing": 50000000000.0,
+                "path_bandwidth": 100000000000.0
+              }
+            }
+          },
+          {
+            "request-id": "0 with tx_power",
+            "source": "trx SITE1",
+            "destination": "trx SITE2",
+            "src-tp-id": "trx SITE1",
+            "dst-tp-id": "trx SITE2",
+            "bidirectional": false,
+            "path-constraints": {
+              "te-bandwidth": {
+                "technology": "flexi-grid",
+                "trx_type": "Voyager",
+                "trx_mode": "mode 1",
+                "tx_power": 0.0001,
+                "spacing": 50000000000.0,
+                "path_bandwidth": 100000000000.0
+              }
+            }
+          }
+        ]
+      }
+
+v2.9
+----
+
+The revision introduces a major refactor that separates design and propagation. Most of these changes have no impact
+on the user experience, except the following ones:
+
+**Network design - amplifiers**: amplifier saturation is checked during design in all cases, even if type_variety is
+set; amplifier gain is no more computed on the fly but only at design phase.
+
+Before, the design did not consider amplifier power saturation during design if amplifier type_variety was stated.
+With this revision, the saturation is always applied:
+If design is made for a per channel power that leads to saturation, the target are properly reduced and the design
+is freezed. So that when a new simulation is performed on the same network for lower levels of power per channel
+the same gain target is applied. Before these were recomputed, changing the gain targets, so the simulation was
+not considering the exact same working points for amplifiers in case of saturation.
+
+Note that this case (working with saturation settings) is not recommended.
+
+The gain of amplifiers was estimated on the fly also in case of RamanFiber preceding elements. The refactor now
+requires that an estimation of Raman gain of the RamanFiber is done during design to properly compute a gain target.
+The Raman gain is estimated at design for every RamanFiber span and also during propagation instead of being only
+estimated at propagation stage for those Raman Fiber spans concerned with the transmission. The auto-design is more
+accurate for unpropagated spans, but this results in an increase overall computation time.
+This will be improved in the future.
+
+**Network design - ROADMs**: ROADM target power settings are verified during design.
+
+Design checks that expected power coming from every directions ingress from a ROADM are consistent with output power
+targets. The checks only considers the adjacent previous hop. If the expected power at the input of this ROADM is
+lower than the target power on the out-degree of the ROADM, a warning is displayed, and user is asked to review the
+input network to avoid this situation. This does not change the design or propagation behaviour.
+
+**Propagation**: amplifier gain target is no more recomputed during propagation. It is now possible to freeze
+the design and propagate without automatic changes.
+
+In previous release, gain was recomputed during propagation based on an hypothetical reference noiseless channel
+propagation. It was not possible to «freeze» the autodesign, and propagate without recomputing the gain target
+of amplifiers.
+With this new release, the design is freezed, so that it is possible to compare performances on same basis.
+
+**Display**: "effective pch (dbm)" is removed. Display contains the target pch which is the target power per channel
+in dBm, computed based on reference channel used for design and the amplifier delta_p in dB (and before out VOA
+contribution). Note that "actual pch out (dBm)" is the actual propagated total power per channel averaged per spectrum
+band definition at the output of the amplifier element, including noises and out VOA contribution.
+
+v2.8
+----
+
+**Spectrum assignment**: requests can now support multiple slots.
+The definition in service file supports multiple assignments (unchanged syntax):
+
+  .. code-block:: json
+
+          "effective-freq-slot": [
+            {
+              "N": 0,
+              "M": 4
+            }, {
+              "N": 50,
+              "M": 4
+            }
+          ],
+
+But in results, label-hop is now a list of slots and center frequency index:
+
+  .. code-block:: json
+
+          {
+            "path-route-object": {
+              "index": 4,
+              "label-hop": [
+                {
+                  "N": 0,
+                  "M": 4
+                }, {
+                  "N": 50,
+                  "M": 4
+                }
+              ]
+            }
+          },
+
+instead of 
+
+  .. code-block:: json
+
+          {
+            "path-route-object": {
+              "index": 4,
+              "label-hop": {
+                "N": 0,
+                "M": 4
+              }
+            }
+          },
+
+
+
+**change in display**: only warnings are displayed ; information are disabled and needs the -v (verbose)
+option to be displayed on standard output.
+
+**frequency scaling**: A more accurate description of fiber parameters is implemented, including frequency scaling of
+chromatic dispersion, effective area, Raman gain coefficient, and nonlinear coefficient.
+
+In particular:
+
+1. Chromatic dispersion can be defined with ``'dispersion'`` and ``'dispersion_slope'``, as in previous versions, or
+with ``'dispersion_per_frequency'``; the latter must be defined as a dictionary with two keys, ``'value'`` and
+``'frequency'`` and it has higher priority than the entries ``'dispersion'`` and ``'dispersion_slope'``.
+Essential change: In previous versions, when it was not provided the ``'dispersion_slope'`` was calculated in an
+involute manner to get a vanishing beta3 , and this was a mere artifact for NLI evaluation purposes (namely to evaluate
+beta2 and beta3, not for total dispersion accumulation). Now, the evaluation of beta2 and beta3 is performed explicitly
+in the element.py module.
+
+2. The effective area is provided as a scalar value evaluated at the Fiber reference frequency and properly scaled
+considering the Fiber refractive indices n1 and n2, and the core radius. These quantities are assumed to be fixed and
+are hard coded in the parameters.py module. Essential change: The effective area is always scaled along the frequency.
+
+3. The Raman gain coefficient is properly scaled considering the overlapping of fiber effective area values scaled at
+the interacting frequencies. Essential change: In previous version the Raman gain coefficient depends only on
+the frequency offset.
+
+4. The nonlinear coefficient ``'gamma'`` is properly scaled considering the refractive index n2 and the scaling
+effective area.  Essential change: As the effective area, the nonlinear coefficient is always scaled along the
+frequency.
+
+**power offset**: Power equalization now enables defining a power offset in transceiver library to represent
+the deviation from the general equalisation strategy defined in ROADMs.
+
+  .. code-block:: json
+
+            "mode": [{
+                    "format": "100G",
+                    "baud_rate": 32.0e9,
+                    "tx_osnr": 35.0,
+                    "min_spacing": 50.0e9,
+                    "cost": 1,
+                    "OSNR": 10.0,
+                    "bit_rate": 100.0e9,
+                    "roll_off": 0.2,
+                    "equalization_offset_db": 0.0
+                }, {
+                    "format": "200G",
+                    "baud_rate": 64.0e9,
+                    "tx_osnr": 35.0,
+                    "min_spacing": 75.0e9,
+                    "cost": 1,
+                    "OSNR": 13.0,
+                    "bit_rate": 200.0e9,
+                    "roll_off": 0.2,
+                    "equalization_offset_db": 1.76
+                }
+            ]
+
+v2.7
+----

docs/requirements.txt

@@ -1,7 +0,0 @@
-alabaster>=0.7.12,<1
-docutils>=0.17.1,<1
-myst-parser>=0.16.1,<1
-Pygments>=2.11.2,<3
-rstcheck
-Sphinx>=4.4.0,<5
-sphinxcontrib-bibtex>=2.4.1,<3

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

@@ -21,16 +21,23 @@ instance as a result.
 """
 
 from numpy import abs, array, errstate, ones, interp, mean, pi, polyfit, polyval, sum, sqrt, log10, exp, asarray, full,\
-    squeeze, zeros, append, flip, outer
+    squeeze, zeros, append, flip, outer, ndarray
 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
-from gnpy.core.parameters import RoadmParams, FusedParams, FiberParams, PumpParams, EdfaParams, EdfaOperational
+from gnpy.core.utils import lin2db, db2lin, arrange_frequencies, snr_sum, per_label_average, pretty_summary_print, \
+    watt2dbm, psd2powerdbm, calculate_absolute_min_or_zero
+from gnpy.core.parameters import RoadmParams, FusedParams, FiberParams, PumpParams, EdfaParams, EdfaOperational, \
+    RoadmPath, RoadmImpairment
 from gnpy.core.science_utils import NliSolver, RamanSolver
 from gnpy.core.info import SpectralInformation
-from gnpy.core.exceptions import NetworkTopologyError, SpectrumError
+from gnpy.core.exceptions import NetworkTopologyError, SpectrumError, ParametersError
+
+
+_logger = getLogger(__name__)
 
 
 class Location(namedtuple('Location', 'latitude longitude city region')):
@@ -39,11 +46,11 @@ class Location(namedtuple('Location', '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
@@ -84,11 +91,14 @@ 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 = [""]
+        self.tx_power = None
 
     def _calc_cd(self, spectral_info):
-        """ Updates the Transceiver property with the CD of the received channels. CD in ps/nm.
+        """Updates the Transceiver property with the CD of the received channels. CD in ps/nm.
         """
         self.chromatic_dispersion = spectral_info.chromatic_dispersion * 1e3
 
@@ -102,6 +112,11 @@ 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'))
@@ -116,6 +131,7 @@ class Transceiver(_Node):
 
     def _calc_snr(self, spectral_info):
         with errstate(divide='ignore'):
+            self.propagated_labels = spectral_info.label
             self.baud_rate = spectral_info.baud_rate
             ratio_01nm = lin2db(12.5e9 / self.baud_rate)
             # set raw values to record original calculation, before update_snr()
@@ -141,6 +157,7 @@ class Transceiver(_Node):
         # use raw_values so that the added SNR penalties are not cumulated
         snr_added = 0
         for s in args:
+            if s is not None:
                 snr_added += db2lin(-s)
         snr_added = -lin2db(snr_added)
         self.osnr_ase = snr_sum(self.raw_osnr_ase, self.baud_rate, snr_added)
@@ -167,29 +184,33 @@ 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):
         if self.snr is None or self.osnr_ase is None:
             return f'{type(self).__name__} {self.uid}'
 
-        snr = round(mean(self.snr), 2)
-        osnr_ase = round(mean(self.osnr_ase), 2)
-        osnr_ase_01nm = round(mean(self.osnr_ase_01nm), 2)
-        snr_01nm = round(mean(self.snr_01nm), 2)
+        snr = per_label_average(self.snr, self.propagated_labels)
+        osnr_ase = per_label_average(self.osnr_ase, self.propagated_labels)
+        osnr_ase_01nm = per_label_average(self.osnr_ase_01nm, self.propagated_labels)
+        snr_01nm = per_label_average(self.snr_01nm, self.propagated_labels)
+        tx_power_dbm = per_label_average(watt2dbm(self.tx_power), self.propagated_labels)
         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):          {snr_01nm:.2f}',
-                          f'  GSNR (signal bw, dB):      {snr:.2f}',
-                          f'  OSNR ASE (0.1nm, dB):      {osnr_ase_01nm:.2f}',
-                          f'  OSNR ASE (signal bw, dB):  {osnr_ase:.2f}',
+                            f'  GSNR (0.1nm, dB):          {pretty_summary_print(snr_01nm)}',
+                            f'  GSNR (signal bw, dB):      {pretty_summary_print(snr)}',
+                            f'  OSNR ASE (0.1nm, dB):      {pretty_summary_print(osnr_ase_01nm)}',
+                            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}',
+                            f'  Actual pch out (dBm):      {pretty_summary_print(tx_power_dbm)}'])
 
         cd_penalty = self.penalties.get('chromatic_dispersion')
         if cd_penalty is not None:
@@ -204,10 +225,12 @@ class Transceiver(_Node):
         return result
 
     def __call__(self, spectral_info):
+        self.tx_power = spectral_info.tx_power
         self._calc_snr(spectral_info)
         self._calc_cd(spectral_info)
         self._calc_pmd(spectral_info)
         self._calc_pdl(spectral_info)
+        self._calc_latency(spectral_info)
         return spectral_info
 
 
@@ -215,67 +238,277 @@ class Roadm(_Node):
     def __init__(self, *args, params=None, **kwargs):
         if not params:
             params = {}
+        try:
             super().__init__(*args, params=RoadmParams(**params), **kwargs)
-        self.pch_out_db = self.params.target_pch_out_db
+        except ParametersError as 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.
+        self.ref_pch_out_dbm = None
         self.loss = 0  # auto-design interest
-        self.effective_loss = None
+        self.loss_pch_db = None
+
+        # Optical power of carriers are equalized by the ROADM, so that the experienced loss is not the same for
+        # different carriers. The ref_effective_loss records the loss for a reference carrier.
+        self.ref_effective_loss = None
+
         self.passive = True
         self.restrictions = self.params.restrictions
-        self.per_degree_pch_out_db = self.params.per_degree_pch_out_db
+        self.propagated_labels = [""]
+        # element contains the two types of equalisation parameters, but only one is not None or empty
+        # target for equalization for the ROADM only one must be not None
+        self.target_pch_out_dbm = self.params.target_pch_out_db
+        self.target_psd_out_mWperGHz = self.params.target_psd_out_mWperGHz
+        self.target_out_mWperSlotWidth = self.params.target_out_mWperSlotWidth
+        self.per_degree_pch_out_dbm = self.params.per_degree_pch_out_db
+        self.per_degree_pch_psd = self.params.per_degree_pch_psd
+        self.per_degree_pch_psw = self.params.per_degree_pch_psw
+        self.ref_pch_in_dbm = {}
+        self.ref_carrier = None
+        # Define the nature of from-to internal connection: express-path, drop-path, add-path
+        # roadm_paths contains a list of RoadmPath object for each path crossing the ROADM
+        self.roadm_paths = []
+        # roadm_path_impairments contains a dictionnary of impairments profiles corresponding to type_variety
+        # first listed add, drop an express constitute the default
+        self.roadm_path_impairments = self.params.roadm_path_impairments
+        # per degree definitions, in case some degrees have particular deviations with respect to default.
+        self.per_degree_impairments = {f'{i["from_degree"]}-{i["to_degree"]}': {"from_degree": i["from_degree"],
+                                                                                "to_degree": i["to_degree"],
+                                                                                "impairment_id": i["impairment_id"]}
+                                       for i in self.params.per_degree_impairments}
 
     @property
     def to_json(self):
-        return {'uid': self.uid,
+        if self.target_pch_out_dbm is not None:
+            equalisation, value = 'target_pch_out_db', self.target_pch_out_dbm
+        elif self.target_psd_out_mWperGHz is not None:
+            equalisation, value = 'target_psd_out_mWperGHz', self.target_psd_out_mWperGHz
+        elif self.target_out_mWperSlotWidth is not None:
+            equalisation, value = 'target_out_mWperSlotWidth', self.target_out_mWperSlotWidth
+        else:
+            assert False, 'There must be one default equalization defined in ROADM'
+        to_json = {
+            'uid': self.uid,
             'type': type(self).__name__,
+            'type_variety': self.type_variety,
             'params': {
-                    'target_pch_out_db': self.pch_out_db,
-                    'restrictions': self.restrictions,
-                    'per_degree_pch_out_db': self.per_degree_pch_out_db
+                equalisation: value,
+                'restrictions': self.restrictions
             },
             'metadata': {
                 'location': self.metadata['location']._asdict()
             }
         }
+        # several per_degree equalization may coexist on different degrees
+        if self.per_degree_pch_out_dbm:
+            to_json['params']['per_degree_pch_out_db'] = self.per_degree_pch_out_dbm
+        if self.per_degree_pch_psd:
+            to_json['params']['per_degree_psd_out_mWperGHz'] = self.per_degree_pch_psd
+        if self.per_degree_pch_psw:
+            to_json['params']['per_degree_psd_out_mWperSlotWidth'] = self.per_degree_pch_psw
+        if self.per_degree_impairments:
+            to_json['per_degree_impairments'] = list(self.per_degree_impairments.values())
+
+        return to_json
 
     def __repr__(self):
         return f'{type(self).__name__}(uid={self.uid!r}, loss={self.loss!r})'
 
     def __str__(self):
-        if self.effective_loss is None:
+        if self.ref_effective_loss is None:
             return f'{type(self).__name__} {self.uid}'
 
+        total_pch = pretty_summary_print(per_label_average(self.pch_out_dbm, self.propagated_labels))
+        total_loss = pretty_summary_print(per_label_average(self.loss_pch_db, self.propagated_labels))
         return '\n'.join([f'{type(self).__name__} {self.uid}',
-                          f'  effective loss (dB):  {self.effective_loss:.2f}',
-                          f'  pch out (dBm):        {self.pch_out_db:.2f}'])
+                          f'  Type_variety:            {self.type_variety}',
+                          f'  Reference loss (dB):     {self.ref_effective_loss:.2f}',
+                          f'  Actual loss (dB):        {total_loss}',
+                          f'  Reference pch out (dBm): {self.ref_pch_out_dbm:.2f}',
+                          f'  Actual pch out (dBm):    {total_pch}'])
+
+    def get_roadm_target_power(self, spectral_info: SpectralInformation = None) -> Union[float, ndarray]:
+        """Computes the power in dBm for a reference carrier or for a spectral information.
+        power is computed based on equalization target.
+        if spectral_info baud_rate is baud_rate = [32e9, 42e9, 64e9, 42e9, 32e9], and
+        target_pch_out_dbm is defined to -20 dbm, then the function returns an array of powers
+        [-20, -20, -20, -20, -20]
+        if target_psd_out_mWperGHz is defined instead with 3.125e-4mW/GHz then it returns
+        [-20, -18.819, -16.9897, -18.819, -20]
+        if instead a reference_baud_rate is defined, the functions computes the result for a
+        single reference carrier whose baud_rate is reference_baudrate
+        """
+        if spectral_info:
+            if self.target_pch_out_dbm is not None:
+                return full(len(spectral_info.channel_number), self.target_pch_out_dbm)
+            if self.target_psd_out_mWperGHz is not None:
+                return psd2powerdbm(self.target_psd_out_mWperGHz, spectral_info.baud_rate)
+            if self.target_out_mWperSlotWidth is not None:
+                return psd2powerdbm(self.target_out_mWperSlotWidth, spectral_info.slot_width)
+        else:
+            if self.target_pch_out_dbm is not None:
+                return self.target_pch_out_dbm
+            if self.target_psd_out_mWperGHz is not None:
+                return psd2powerdbm(self.target_psd_out_mWperGHz, self.ref_carrier.baud_rate)
+            if self.target_out_mWperSlotWidth is not None:
+                return psd2powerdbm(self.target_out_mWperSlotWidth, self.ref_carrier.slot_width)
+        return None
+
+    def get_per_degree_ref_power(self, degree):
+        """Get the target power in dBm out of ROADM degree for the reference bandwidth
+        If no equalization is defined on this degree use the ROADM level one.
+        """
+        if degree in self.per_degree_pch_out_dbm:
+            return self.per_degree_pch_out_dbm[degree]
+        elif degree in self.per_degree_pch_psd:
+            return psd2powerdbm(self.per_degree_pch_psd[degree], self.ref_carrier.baud_rate)
+        elif degree in self.per_degree_pch_psw:
+            return psd2powerdbm(self.per_degree_pch_psw[degree], self.ref_carrier.slot_width)
+        return self.get_roadm_target_power()
+
+    def get_per_degree_power(self, degree, spectral_info):
+        """Get the target power in dBm out of ROADM degree for the spectral information
+        If no equalization is defined on this degree use the ROADM level one.
+        """
+        if degree in self.per_degree_pch_out_dbm:
+            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, from_degree):
+        """Equalization targets are read from topology file if defined and completed with default
+        definition of the library.
+        If the input power is lower than the target one, use the input power minus the ROADM loss
+        if is exists, because a ROADM doesn't amplify, it can only attenuate.
+        There is no difference for add or express : the same target is applied.
+        For the moment propagate operates with spectral info carriers all having the same source or destination.
+        """
+        # record input powers to compute the actual loss at the end of the process
+        input_power_dbm = watt2dbm(spectral_info.signal + spectral_info.nli + spectral_info.ase)
+        # apply min ROADM loss if it exists
+        roadm_maxloss_db = self.get_roadm_path(from_degree, degree).impairment.maxloss
+        spectral_info.apply_attenuation_db(roadm_maxloss_db)
+        # records the total power after applying minimum loss
+        net_input_power_dbm = watt2dbm(spectral_info.signal + spectral_info.nli + spectral_info.ase)
+        # find the target power for the reference carrier
+        ref_per_degree_pch = self.get_per_degree_ref_power(degree)
+        # find the target powers for each signal carrier
+        per_degree_pch = self.get_per_degree_power(degree, spectral_info=spectral_info)
+
+        # Definition of ref_pch_out_dbm for the reference channel:
+        # Depending on propagation upstream from this ROADM, the input power might be smaller than
+        # the target power out configured for this ROADM degree's egress. Since ROADM does not amplify,
+        # the power out of the ROADM for the ref channel is the min value between target power and input power.
+        ref_pch_in_dbm = self.ref_pch_in_dbm[from_degree]
+        # Calculate the output power for the reference channel (only for visualization)
+        self.ref_pch_out_dbm = min(ref_pch_in_dbm - roadm_maxloss_db, ref_per_degree_pch)
+
+        # Definition of effective_loss:
+        # Optical power of carriers are equalized by the ROADM, so that the experienced loss is not the same for
+        # different carriers. effective_loss records the loss for the reference carrier.
+        # Calculate the effective loss for the reference channel
+        self.ref_effective_loss = ref_pch_in_dbm - self.ref_pch_out_dbm
+
+        # Calculate the target power per channel according to the equalization policy
+        target_power_per_channel = per_degree_pch + spectral_info.delta_pdb_per_channel
+        # Computation of the correction according to equalization policy
+        # If target_power_per_channel has some channels power above input power, then the whole target is reduced.
+        # For example, if user specifies delta_pdb_per_channel:
+        # freq1: 1dB, freq2: 3dB, freq3: -3dB, and target is -20dBm out of the ROADM,
+        # then the target power for each channel uses the specified delta_pdb_per_channel.
+        # target_power_per_channel[f1, f2, f3] = -19, -17, -23
+        # However if input_signal = -23, -16, -26, then the target can not be applied, because
+        # -23 < -19dBm and -26 < -23dBm. Then the target is only applied to signals whose power is above the
+        # threshold. others are left unchanged and unequalized.
+        # the new target is [-23, -17, -26]
+        # and the attenuation to apply is [-23, -16, -26] - [-23, -17, -26] = [0, 1, 0]
+        # note that this changes the previous behaviour that equalized all identical channels based on the one
+        # that had the min power.
+        # This change corresponds to a discussion held during coders call. Please look at this document for
+        # a reference: https://telecominfraproject.atlassian.net/wiki/spaces/OOPT/pages/669679645/PSE+Meeting+Minutes
+        correction = calculate_absolute_min_or_zero(net_input_power_dbm - target_power_per_channel)
+        new_target = target_power_per_channel - correction
+        delta_power = net_input_power_dbm - new_target
 
-    def propagate(self, spectral_info, degree):
-        # pin_target and loss are read from eqpt_config.json['Roadm']
-        # all ingress channels in xpress are set to this power level
-        # but add channels are not, so we define an effective loss
-        # in the case of add channels
-        # find the target power on this degree:
-        # if a target power has been defined for this degree use it else use the global one.
-        # if the input power is lower than the target one, use the input power instead because
-        # a ROADM doesn't amplify, it can only attenuate
-        # TODO maybe add a minimum loss for the ROADM
-        per_degree_pch = self.per_degree_pch_out_db[degree] \
-            if degree in self.per_degree_pch_out_db else self.pch_out_db
-        self.pch_out_db = min(spectral_info.pref.p_spani, per_degree_pch)
-        self.effective_loss = spectral_info.pref.p_spani - self.pch_out_db
-        input_power = spectral_info.signal + spectral_info.nli + spectral_info.ase
-        min_power = min(lin2db(input_power * 1e3))
-        per_degree_pch = per_degree_pch if per_degree_pch < min_power else min_power
-        delta_power = lin2db(input_power * 1e3) - per_degree_pch
         spectral_info.apply_attenuation_db(delta_power)
-        spectral_info.pmd = sqrt(spectral_info.pmd ** 2 + self.params.pmd ** 2)
-        spectral_info.pdl = sqrt(spectral_info.pdl ** 2 + self.params.pdl ** 2)
 
-    def update_pref(self, spectral_info):
-        spectral_info.pref = spectral_info.pref._replace(p_span0=spectral_info.pref.p_span0, p_spani=self.pch_out_db)
+        # Update the PMD information
+        pmd_impairment = self.get_roadm_path(from_degree=from_degree, to_degree=degree).impairment.pmd
+        spectral_info.pmd = sqrt(spectral_info.pmd ** 2 + pmd_impairment ** 2)
 
-    def __call__(self, spectral_info, degree):
-        self.propagate(spectral_info, degree=degree)
-        self.update_pref(spectral_info)
+        # Update the PMD information
+        pdl_impairment = self.get_roadm_path(from_degree=from_degree, to_degree=degree).impairment.pdl
+        spectral_info.pdl = sqrt(spectral_info.pdl ** 2 + pdl_impairment ** 2)
+
+        # Update the per channel power with the result of propagation
+        self.pch_out_dbm = watt2dbm(spectral_info.signal + spectral_info.nli + spectral_info.ase)
+
+        # Update the loss per channel and the labels
+        self.loss_pch_db = input_power_dbm - self.pch_out_dbm
+        self.propagated_labels = spectral_info.label
+
+    def set_roadm_paths(self, from_degree, to_degree, path_type, impairment_id=None):
+        """set internal path type: express, drop or add with corresponding impairment
+
+        If no impairment id is defined, then use the first profile that matches the path_type in the
+        profile dictionnary.
+        """
+        # initialize impairment with params.pmd, params.cd
+        # if more detailed parameters are available for the Roadm, the use them instead
+        roadm_global_impairment = {'roadm-pmd': self.params.pmd,
+                                   'roadm-pdl': self.params.pdl}
+        if path_type in ['add', 'drop']:
+            # without detailed imparments, we assume that add OSNR contribution is the same as drop contribution
+            # add_drop_osnr_db = - 10log10(1/add_osnr + 1/drop_osnr) with add_osnr = drop_osnr
+            # = add_osnr_db + 10log10(2)
+            roadm_global_impairment['roadm-osnr'] = self.params.add_drop_osnr + lin2db(2)
+        impairment = RoadmImpairment(roadm_global_impairment)
+
+        if impairment_id is None:
+            # get the first item in the type variety that matches the path_type
+            for path_impairment_id, path_impairment in self.roadm_path_impairments.items():
+                if path_impairment.path_type == path_type:
+                    impairment = path_impairment
+                    impairment_id = path_impairment_id
+                    break
+            # at this point, path_type is not part of roadm_path_impairment, impairment and impairment_id are None
+        else:
+            if impairment_id in self.roadm_path_impairments:
+                impairment = self.roadm_path_impairments[impairment_id]
+            else:
+                msg = f'ROADM {self.uid}: impairment profile id {impairment_id} is not defined in library'
+                raise NetworkTopologyError(msg)
+        # print(from_degree, to_degree, path_type)
+        self.roadm_paths.append(RoadmPath(from_degree=from_degree, to_degree=to_degree, path_type=path_type,
+                                          impairment_id=impairment_id, impairment=impairment))
+
+    def get_roadm_path(self, from_degree, to_degree):
+        """Get internal path type impairment"""
+        for roadm_path in self.roadm_paths:
+            if roadm_path.from_degree == from_degree and roadm_path.to_degree == to_degree:
+                return roadm_path
+        msg = f'Could not find from_degree-to_degree {from_degree}-{to_degree} path in ROADM {self.uid}'
+        raise NetworkTopologyError(msg)
+
+    def get_per_degree_impairment_id(self, from_degree, to_degree):
+        """returns the id of the impairment if the degrees are in the per_degree tab"""
+        if f'{from_degree}-{to_degree}' in self.per_degree_impairments.keys():
+            return self.per_degree_impairments[f'{from_degree}-{to_degree}']["impairment_id"]
+        return None
+
+    def get_path_type_per_id(self, impairment_id):
+        """returns the path_type of the impairment if the is is defined"""
+        if impairment_id in self.roadm_path_impairments.keys():
+            return self.roadm_path_impairments[impairment_id].path_type
+        return None
+
+    def __call__(self, spectral_info, degree, from_degree):
+        self.propagate(spectral_info, degree=degree, from_degree=from_degree)
         return spectral_info
 
 
@@ -309,13 +542,8 @@ class Fused(_Node):
     def propagate(self, spectral_info):
         spectral_info.apply_attenuation_db(self.loss)
 
-    def update_pref(self, spectral_info):
-        spectral_info.pref = spectral_info.pref._replace(p_span0=spectral_info.pref.p_span0,
-                                                         p_spani=spectral_info.pref.p_spani - self.loss)
-
     def __call__(self, spectral_info):
         self.propagate(spectral_info)
-        self.update_pref(spectral_info)
         return spectral_info
 
 
@@ -323,21 +551,14 @@ 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
-
-        # 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)
+        self.propagated_labels = [""]
 
         # Lumped losses
         z_lumped_losses = array([lumped['position'] for lumped in self.params.lumped_losses])  # km
@@ -347,6 +568,7 @@ class Fiber(_Node):
                                        f"({1e-3 * self.params.length} km), boundaries excluded.")
         self.lumped_losses = db2lin(- lumped_losses_power)  # [linear units]
         self.z_lumped_losses = array(z_lumped_losses) * 1e3  # [m]
+        self.ref_pch_in_dbm = None
 
     @property
     def to_json(self):
@@ -376,6 +598,7 @@ class Fiber(_Node):
         if self.pch_out_db is None:
             return f'{type(self).__name__} {self.uid}'
 
+        total_pch = pretty_summary_print(per_label_average(self.pch_out_dbm, self.propagated_labels))
         return '\n'.join([f'{type(self).__name__}          {self.uid}',
                           f'  type_variety:                {self.type_variety}',
                           f'  length (km):                 {self.params.length * 1e-3:.2f}',
@@ -383,30 +606,42 @@ class Fiber(_Node):
                           f'  total loss (dB):             {self.loss:.2f}',
                           f'  (includes conn loss (dB) in: {self.params.con_in:.2f} out: {self.params.con_out:.2f})',
                           f'  (conn loss out includes EOL margin defined in eqpt_config.json)',
-                          f'  pch out (dBm): {self.pch_out_db:.2f}'])
+                          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:
+            try:
+                start = spectrum_frequency[0]
+                stop = spectrum_frequency[-1]
+            except IndexError:
+                # when frequency is a 0-dimensionnal array
+                start = spectrum_frequency
+                stop = spectrum_frequency
+            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(start * 1e-12, 2)}-'
+                                f'{round(stop * 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 = interp1d(self.params.f_loss_ref, self.params.loss_coef)(frequency)
-            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)}')
+            loss_coef = self.interpolate_parameter_over_spectrum(self.params.loss_coef, self.params.f_loss_ref,
+                                                                 frequency, 'Loss Coefficient')
         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
@@ -417,16 +652,71 @@ 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).
@@ -435,8 +725,8 @@ 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
-        beta3 = self.params.beta3
+        beta2 = self.beta2(freq)
+        beta3 = self.beta3(freq)
         ref_f = self.params.ref_frequency
         length = self.params.length
         beta = beta2 + 2 * pi * beta3 * (freq - ref_f)
@@ -466,6 +756,9 @@ 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)
@@ -473,22 +766,19 @@ class Fiber(_Node):
         # apply the attenuation due to the output connector loss
         attenuation_out_db = self.params.con_out
         spectral_info.apply_attenuation_db(attenuation_out_db)
-
-    def update_pref(self, spectral_info):
-        # in case of Raman, the resulting loss of the fiber is not equivalent to self.loss
-        # because of Raman gain. In order to correctly update pref, we need the resulting loss:
-        # power_out - power_in. We use the total signal power (sum on all channels) to compute
-        # this loss, because pref is a noiseless reference.
-        loss = round(lin2db(self._psig_in / sum(spectral_info.signal)), 2)
-        self.pch_out_db = spectral_info.pref.p_spani - loss
-        spectral_info.pref = spectral_info.pref._replace(p_span0=spectral_info.pref.p_span0,
-                                                         p_spani=self.pch_out_db)
+        self.pch_out_dbm = watt2dbm(spectral_info.signal + spectral_info.nli + spectral_info.ase)
+        self.propagated_labels = spectral_info.label
 
     def __call__(self, spectral_info):
         # _psig_in records the total signal power of the spectral information before propagation.
         self._psig_in = sum(spectral_info.signal)
         self.propagate(spectral_info)
-        self.update_pref(spectral_info)
+        # In case of Raman, the resulting loss of the fiber is not equivalent to self.loss
+        # because of Raman gain. The resulting loss is:
+        # power_out - power_in. We use the total signal power (sum on all channels) to compute
+        # this loss.
+        loss = round(lin2db(self._psig_in / sum(spectral_info.signal)), 2)
+        self.pch_out_db = self.ref_pch_in_dbm - loss
         return spectral_info
 
 
@@ -516,11 +806,16 @@ class RamanFiber(Fiber):
     def to_json(self):
         return dict(super().to_json, operational=self.operational)
 
+    def __str__(self):
+        return super().__str__() + f'\n  reference gain (dB):         {round(self.estimated_gain, 2)}' \
+            + f'\n  actual gain (dB):            {round(self.actual_raman_gain, 2)}'
+
     def propagate(self, spectral_info: SpectralInformation):
         """Modifies the spectral information computing the attenuation, the non-linear interference generation,
         the CD and PMD accumulation.
         """
         # apply the attenuation due to the input connector loss
+        pin = watt2dbm(sum(spectral_info.signal))
         attenuation_in_db = self.params.con_in + self.params.att_in
         spectral_info.apply_attenuation_db(attenuation_in_db)
 
@@ -537,6 +832,9 @@ 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]
 
@@ -545,6 +843,10 @@ class RamanFiber(Fiber):
         # apply the attenuation due to the output connector loss
         attenuation_out_db = self.params.con_out
         spectral_info.apply_attenuation_db(attenuation_out_db)
+        self.pch_out_dbm = watt2dbm(spectral_info.signal + spectral_info.nli + spectral_info.ase)
+        self.propagated_labels = spectral_info.label
+        pout = watt2dbm(sum(spectral_info.signal))
+        self.actual_raman_gain = self.loss + pout - pin
 
 
 class Edfa(_Node):
@@ -555,7 +857,7 @@ class Edfa(_Node):
             operational = {}
         self.variety_list = kwargs.pop('variety_list', None)
         super().__init__(*args, params=EdfaParams(**params), operational=EdfaOperational(**operational), **kwargs)
-        self.interpol_dgt = None  # interpolated dynamic gain tilt
+        self.interpol_dgt = None  # interpolated dynamic gain tilt defined per frequency on amp band
         self.interpol_gain_ripple = None  # gain ripple
         self.interpol_nf_ripple = None  # nf_ripple
         self.channel_freq = None  # SI channel frequencies
@@ -565,14 +867,22 @@ class Edfa(_Node):
         self.pin_db = None
         self.nch = None
         self.pout_db = None
-        self.target_pch_out_db = None
+        self.target_pch_out_dbm = None
         self.effective_pch_out_db = None
         self.passive = False
         self.att_in = None
         self.effective_gain = self.operational.gain_target
-        self.delta_p = self.operational.delta_p  # delta P with Pref (power swwep) in power mode
-        self.tilt_target = self.operational.tilt_target
+        # self.operational.delta_p is defined by user for reference channel
+        # self.delta_p is set with self.operational.delta_p, but it may be changed during design:
+        # - if operational.delta_p is None, self.delta_p is computed at design phase
+        # - if operational.delta_p can not be applied because of saturation, self.delta_p is recomputed
+        # - if power_mode is False, then it is set to None
+        self.delta_p = self.operational.delta_p
+        # self._delta_p contains computed delta_p during design even if power_mode is False
+        self._delta_p = None
+        self.tilt_target = self.operational.tilt_target  # defined per lambda on the amp band
         self.out_voa = self.operational.out_voa
+        self.propagated_labels = [""]
 
     @property
     def to_json(self):
@@ -580,9 +890,9 @@ class Edfa(_Node):
                 'type': type(self).__name__,
                 'type_variety': self.params.type_variety,
                 'operational': {
-                    'gain_target': round(self.effective_gain, 6),
+                    'gain_target': round(self.effective_gain, 6) if self.effective_gain else None,
                     'delta_p': self.delta_p,
-                    'tilt_target': self.tilt_target,
+                    'tilt_target': self.tilt_target,  # defined per lambda on the amp band
                     'out_voa': self.out_voa
                 },
                 'metadata': {
@@ -606,6 +916,7 @@ class Edfa(_Node):
         if self.pin_db is None or self.pout_db is None:
             return f'{type(self).__name__} {self.uid}'
         nf = mean(self.nf)
+        total_pch = pretty_summary_print(per_label_average(self.pch_out_dbm, self.propagated_labels))
         return '\n'.join([f'{type(self).__name__} {self.uid}',
                           f'  type_variety:           {self.params.type_variety}',
                           f'  effective gain(dB):     {self.effective_gain:.2f}',
@@ -615,9 +926,11 @@ class Edfa(_Node):
                           f'  pad att_in (dB):        {self.att_in:.2f}',
                           f'  Power In (dBm):         {self.pin_db:.2f}',
                           f'  Power Out (dBm):        {self.pout_db:.2f}',
-                          f'  Delta_P (dB):           ' + (f'{self.delta_p:.2f}' if self.delta_p is not None else 'None'),
-                          f'  target pch (dBm):       ' + (f'{self.target_pch_out_db:.2f}' if self.target_pch_out_db is not None else 'None'),
-                          f'  effective pch (dBm):    {self.effective_pch_out_db:.2f}',
+                          '  Delta_P (dB):           ' + (f'{self.delta_p:.2f}'
+                                                          if self.delta_p is not None else 'None'),
+                          '  target pch (dBm):       ' + (f'{self.target_pch_out_dbm:.2f}'
+                                                          if self.target_pch_out_dbm is not None else 'None'),
+                          f'  actual pch out (dBm):   {total_pch}',
                           f'  output VOA (dB):        {self.out_voa:.2f}'])
 
     def interpol_params(self, spectral_info):
@@ -639,28 +952,19 @@ class Edfa(_Node):
 
         self.nch = spectral_info.number_of_channels
         pin = spectral_info.signal + spectral_info.ase + spectral_info.nli
-        self.pin_db = lin2db(sum(pin * 1e3))
+        self.pin_db = watt2dbm(sum(pin))
         # The following should be changed when we have the new spectral information including slot widths.
         # For now, with homogeneous spectrum, we can calculate it as the difference between neighbouring channels.
         self.slot_width = self.channel_freq[1] - self.channel_freq[0]
 
-        """in power mode: delta_p is defined and can be used to calculate the power target
-        This power target is used calculate the amplifier gain"""
-        pref = spectral_info.pref
-        if self.delta_p is not None:
-            self.target_pch_out_db = round(self.delta_p + pref.p_span0, 2)
-            self.effective_gain = self.target_pch_out_db - pref.p_spani
-
         """check power saturation and correct effective gain & power accordingly:"""
+        # Compute the saturation accounting for actual power at the input of the amp
         self.effective_gain = min(
             self.effective_gain,
-            self.params.p_max - (pref.p_spani + pref.neq_ch)
+            self.params.p_max - self.pin_db
         )
-        #print(self.uid, self.effective_gain, self.operational.gain_target)
-        self.effective_pch_out_db = round(pref.p_spani + self.effective_gain, 2)
 
         """check power saturation and correct target_gain accordingly:"""
-        #print(self.uid, self.effective_gain, self.pin_db, pref.p_spani)
         self.nf = self._calc_nf()
         self.gprofile = self._gain_profile(pin)
 
@@ -818,7 +1122,7 @@ class Edfa(_Node):
         p = polyfit(self.channel_freq, self.interpol_dgt, 1)
         dgt_slope = p[0]
 
-        # Calculate the target slope
+        # Calculate the target slope defined per frequency on the amp band
         targ_slope = -self.tilt_target / (self.params.f_max - self.params.f_min)
 
         # first estimate of DGT scaling
@@ -891,13 +1195,9 @@ class Edfa(_Node):
         spectral_info.apply_gain_db(self.gprofile - self.out_voa)
         spectral_info.pmd = sqrt(spectral_info.pmd ** 2 + self.params.pmd ** 2)
         spectral_info.pdl = sqrt(spectral_info.pdl ** 2 + self.params.pdl ** 2)
-
-    def update_pref(self, spectral_info):
-        spectral_info.pref = \
-            spectral_info.pref._replace(p_span0=spectral_info.pref.p_span0,
-                                        p_spani=spectral_info.pref.p_spani + self.effective_gain - self.out_voa)
+        self.pch_out_dbm = watt2dbm(spectral_info.signal + spectral_info.nli + spectral_info.ase)
+        self.propagated_labels = spectral_info.label
 
     def __call__(self, spectral_info):
         self.propagate(spectral_info)
-        self.update_pref(spectral_info)
         return spectral_info

gnpy/core/equipment.py

@@ -1,38 +1,46 @@
 #!/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
 
 
 def trx_mode_params(equipment, trx_type_variety='', trx_mode='', error_message=False):
-    """return the trx and SI parameters from eqpt_config for a given type_variety and mode (ie format)"""
+    """return the trx and SI parameters from eqpt_config for a given type_variety and mode (ie format)
+
+    if the type or mode do no match an existing transceiver in the library, then the function
+    raises an error if error_message is True else returns a default mode based on equipment['SI']['default']
+    If trx_mode is None (but type is valid), it returns an undetermined mode whatever the error message:
+    this is a special case for automatic mode selection.
+    """
     trx_params = {}
     default_si_data = equipment['SI']['default']
-
-    try:
-        trxs = equipment['Transceiver']
-        # if called from path_requests_run.py, trx_mode is filled with None when not specified by user
-        # if called from transmission_main.py, trx_mode is ''
-        if trx_mode is not None:
-            mode_params = next(mode for trx in trxs
-                               if trx == trx_type_variety
-                               for mode in trxs[trx].mode
-                               if mode['format'] == trx_mode)
-            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"]}" ' +
-                                           f'has baud rate {trx_params["baud_rate"]*1e-9} GHz greater than min_spacing {trx_params["min_spacing"]*1e-9}.')
-        else:
-            mode_params = {"format": "undetermined",
+    # default transponder characteristics
+    # mainly used with transmission_main_example.py
+    default_trx_params = {
+        'f_min': default_si_data.f_min,
+        'f_max': default_si_data.f_max,
+        'baud_rate': default_si_data.baud_rate,
+        'spacing': default_si_data.spacing,
+        'OSNR': None,
+        'penalties': {},
+        'bit_rate': None,
+        'cost': None,
+        'roll_off': default_si_data.roll_off,
+        'tx_osnr': default_si_data.tx_osnr,
+        'min_spacing': None,
+        'equalization_offset_db': 0
+    }
+    # Undetermined transponder characteristics
+    # mainly used with path_request_run.py for the automatic mode computation case
+    undetermined_trx_params = {
+        "format": "undetermined",
         "baud_rate": None,
         "OSNR": None,
         "penalties": None,
@@ -40,36 +48,35 @@ def trx_mode_params(equipment, trx_type_variety='', trx_mode='', error_message=F
         "roll_off": None,
         "tx_osnr": None,
         "min_spacing": None,
-                           "cost": None}
-            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']
-
-        # TODO: novel automatic feature maybe unwanted if spacing is specified
-        # trx_params['spacing'] = _automatic_spacing(trx_params['baud_rate'])
-        # temp = trx_params['spacing']
-        # print(f'spacing {temp}')
-    except StopIteration:
-        if error_message:
-            raise EquipmentConfigError(f'Could not find transponder "{trx_type_variety}" with mode "{trx_mode}" in equipment library')
-        else:
-            # default transponder charcteristics
-            # mainly used with transmission_main_example.py
-            trx_params['f_min'] = default_si_data.f_min
-            trx_params['f_max'] = default_si_data.f_max
-            trx_params['baud_rate'] = default_si_data.baud_rate
-            trx_params['spacing'] = default_si_data.spacing
-            trx_params['OSNR'] = None
-            trx_params['penalties'] = {}
-            trx_params['bit_rate'] = None
-            trx_params['cost'] = None
-            trx_params['roll_off'] = default_si_data.roll_off
-            trx_params['tx_osnr'] = default_si_data.tx_osnr
-            trx_params['min_spacing'] = None
-            nch = automatic_nch(trx_params['f_min'], trx_params['f_max'], trx_params['spacing'])
-            trx_params['nb_channel'] = nch
-            print(f'There are {nch} channels propagating')
-
-    trx_params['power'] = db2lin(default_si_data.power_dbm) * 1e-3
+        "cost": None,
+        "equalization_offset_db": 0
+    }
 
+    trxs = equipment['Transceiver']
+    if trx_type_variety in trxs:
+        modes = {mode['format']: mode for mode in trxs[trx_type_variety].mode}
+        trx_frequencies = {'f_min': trxs[trx_type_variety].frequency['min'],
+                           'f_max': trxs[trx_type_variety].frequency['max']}
+        if trx_mode in modes:
+            # if called from transmission_main.py, trx_mode is ''
+            trx_params = {**modes[trx_mode], **trx_frequencies}
+            if trx_params['baud_rate'] > trx_params['min_spacing']:
+                # sanity check: baudrate must be smaller than min spacing
+                raise EquipmentConfigError(f'Inconsistency in equipment library:\n Transponder "{trx_type_variety}" '
+                                           + f'mode "{trx_params["format"]}" has baud rate '
+                                           + f'{trx_params["baud_rate"] * 1e-9:.2f} GHz greater than min_spacing '
+                                           + f'{trx_params["min_spacing"] * 1e-9:.2f}.')
+            trx_params['equalization_offset_db'] = trx_params.get('equalization_offset_db', 0)
+            return trx_params
+        if trx_mode is None:
+            # if called from path_requests_run.py, trx_mode is filled with None when not specified by user
+            trx_params = {**undetermined_trx_params, **trx_frequencies}
+            return trx_params
+    if trx_type_variety in trxs and error_message:
+        raise EquipmentConfigError(f'Could not find transponder "{trx_type_variety}" with mode "{trx_mode}" '
+                                   + 'in equipment library')
+    if error_message:
+        raise EquipmentConfigError(f'Could not find transponder "{trx_type_variety}" in equipment library')
+
+    trx_params = {**default_trx_params}
     return trx_params

gnpy/core/info.py

@@ -12,9 +12,10 @@ from __future__ import annotations
 from collections import namedtuple
 from collections.abc import Iterable
 from typing import Union
+from dataclasses import dataclass
 from numpy import argsort, mean, array, append, ones, ceil, any, zeros, outer, full, ndarray, asarray
 
-from gnpy.core.utils import automatic_nch, lin2db, db2lin
+from gnpy.core.utils import automatic_nch, db2lin, watt2dbm
 from gnpy.core.exceptions import SpectrumError
 
 DEFAULT_SLOT_WIDTH_STEP = 12.5e9  # Hz
@@ -26,9 +27,11 @@ class Power(namedtuple('Power', 'signal nli ase')):
     """carriers power in W"""
 
 
-class Channel(namedtuple('Channel',
-                         'channel_number frequency baud_rate slot_width roll_off power chromatic_dispersion pmd pdl')):
-    """ Class containing the parameters of a WDM signal.
+class Channel(
+    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)
@@ -38,21 +41,18 @@ 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, neq_ch ')):
-    """noiseless reference power in dBm:
-    p_span0: inital target carrier power
-    p_spani: carrier power after element i
-    neq_ch: equivalent channel count in dB"""
-
-
 class SpectralInformation(object):
-    """ Class containing the parameters of the entire WDM comb."""
+    """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):
+                 roll_off: array, chromatic_dispersion: array, pmd: array, pdl: array, latency: array,
+                 delta_pdb_per_channel: array, tx_osnr: array, tx_power: array, label: array):
         indices = argsort(frequency)
         self._frequency = frequency[indices]
         self._df = outer(ones(frequency.shape), frequency) - outer(frequency, ones(frequency.shape))
@@ -77,17 +77,11 @@ class SpectralInformation(object):
         self._chromatic_dispersion = chromatic_dispersion[indices]
         self._pmd = pmd[indices]
         self._pdl = pdl[indices]
-        pref = lin2db(mean(signal) * 1e3)
-        self._pref = Pref(pref, pref, lin2db(self._number_of_channels))
-
-    @property
-    def pref(self):
-        """Instance of gnpy.info.Pref"""
-        return self._pref
-
-    @pref.setter
-    def pref(self, pref: Pref):
-        self._pref = pref
+        self._latency = latency[indices]
+        self._delta_pdb_per_channel = delta_pdb_per_channel[indices]
+        self._tx_osnr = tx_osnr[indices]
+        self._tx_power = tx_power[indices]
+        self._label = label[indices]
 
     @property
     def frequency(self):
@@ -155,6 +149,10 @@ class SpectralInformation(object):
     def pmd(self):
         return self._pmd
 
+    @property
+    def label(self):
+        return self._label
+
     @pmd.setter
     def pmd(self, pmd):
         self._pmd = pmd
@@ -167,6 +165,38 @@ 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
+
+    @delta_pdb_per_channel.setter
+    def delta_pdb_per_channel(self, delta_pdb_per_channel):
+        self._delta_pdb_per_channel = delta_pdb_per_channel
+
+    @property
+    def tx_osnr(self):
+        return self._tx_osnr
+
+    @tx_osnr.setter
+    def tx_osnr(self, tx_osnr):
+        self._tx_osnr = tx_osnr
+
+    @property
+    def tx_power(self):
+        return self._tx_power
+
+    @tx_power.setter
+    def tx_power(self, tx_power):
+        self._tx_power = tx_power
+
     @property
     def channel_number(self):
         return self._channel_number
@@ -174,7 +204,7 @@ 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):
@@ -206,29 +236,40 @@ class SpectralInformation(object):
                                        chromatic_dispersion=append(self.chromatic_dispersion,
                                                                    other.chromatic_dispersion),
                                        pmd=append(self.pmd, other.pmd),
-                                       pdl=append(self.pdl, other.pdl))
+                                       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),
+                                       tx_power=append(self.tx_power, other.tx_power),
+                                       label=append(self.label, other.label))
         except SpectrumError:
             raise SpectrumError('Spectra cannot be summed: channels overlapping.')
 
-    def _replace(self, carriers, pref):
+    def _replace(self, carriers):
         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])
-        self.pref = pref
         return self
 
 
-def create_arbitrary_spectral_information(frequency: Union[ndarray, Iterable, int, float],
-                                          signal: Union[int, float, ndarray, Iterable],
-                                          baud_rate: Union[int, float, ndarray, Iterable],
-                                          slot_width: Union[int, float, ndarray, Iterable] = None,
-                                          roll_off: Union[int, float, ndarray, Iterable] = 0.,
-                                          chromatic_dispersion: Union[int, float, ndarray, Iterable] = 0.,
-                                          pmd: Union[int, float, ndarray, Iterable] = 0.,
-                                          pdl: Union[int, float, ndarray, Iterable] = 0.):
+def create_arbitrary_spectral_information(frequency: Union[ndarray, Iterable, float],
+                                          signal: Union[float, ndarray, Iterable],
+                                          baud_rate: Union[float, ndarray, Iterable],
+                                          tx_osnr: Union[float, ndarray, Iterable],
+                                          tx_power: Union[float, ndarray, Iterable] = None,
+                                          delta_pdb_per_channel: Union[float, ndarray, Iterable] = 0.,
+                                          slot_width: Union[float, ndarray, Iterable] = None,
+                                          roll_off: Union[float, ndarray, Iterable] = 0.,
+                                          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.,
+                                          label: Union[str, ndarray, Iterable] = None):
     """This is just a wrapper around the SpectralInformation.__init__() that simplifies the creation of
     a non-uniform spectral information with NLI and ASE powers set to zero."""
     frequency = asarray(frequency)
@@ -242,13 +283,20 @@ def create_arbitrary_spectral_information(frequency: Union[ndarray, Iterable, in
         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)
+        tx_osnr = full(number_of_channels, tx_osnr)
+        tx_power = full(number_of_channels, tx_power)
+        label = full(number_of_channels, label)
         return SpectralInformation(frequency=frequency, slot_width=slot_width,
                                    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, tx_power=tx_power, label=label)
     except ValueError as e:
         if 'could not broadcast' in str(e):
             raise SpectrumError('Dimension mismatch in input fields.')
@@ -256,9 +304,75 @@ def create_arbitrary_spectral_information(frequency: Union[ndarray, Iterable, in
             raise
 
 
-def create_input_spectral_information(f_min, f_max, roll_off, baud_rate, power, spacing):
-    """ Creates a fixed slot width spectral information with flat power """
-    nb_channel = automatic_nch(f_min, f_max, spacing)
-    frequency = [(f_min + spacing * i) for i in range(1, nb_channel + 1)]
-    return create_arbitrary_spectral_information(frequency, slot_width=spacing, signal=power, baud_rate=baud_rate,
-                                                 roll_off=roll_off)
+def create_input_spectral_information(f_min, f_max, roll_off, baud_rate, spacing, tx_osnr, tx_power,
+                                      delta_pdb=0):
+    """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)]
+    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=tx_power, baud_rate=baud_rate,
+                                                 roll_off=roll_off, delta_pdb_per_channel=delta_pdb_per_channel,
+                                                 tx_osnr=tx_osnr, tx_power=tx_power, label=label)
+
+
+def carriers_to_spectral_information(initial_spectrum: dict[float, Carrier],
+                                     power: float) -> SpectralInformation:
+    """Initial spectrum is a dict with key = carrier frequency, and value a Carrier object.
+    :param initial_spectrum: indexed by frequency in Hz, with power offset (delta_pdb), baudrate, slot width,
+    tx_osnr, tx_power and roll off.
+    :param power: power of the request
+    """
+    frequency = list(initial_spectrum.keys())
+    signal = [c.tx_power for c in initial_spectrum.values()]
+    roll_off = [c.roll_off for c in initial_spectrum.values()]
+    baud_rate = [c.baud_rate for c in initial_spectrum.values()]
+    delta_pdb_per_channel = [c.delta_pdb for c in initial_spectrum.values()]
+    slot_width = [c.slot_width for c in initial_spectrum.values()]
+    tx_osnr = [c.tx_osnr for c in initial_spectrum.values()]
+    tx_power = [c.tx_power for c in initial_spectrum.values()]
+    label = [c.label for c in initial_spectrum.values()]
+    return create_arbitrary_spectral_information(frequency=frequency, signal=signal, baud_rate=baud_rate,
+                                                 slot_width=slot_width, roll_off=roll_off,
+                                                 delta_pdb_per_channel=delta_pdb_per_channel, tx_osnr=tx_osnr,
+                                                 tx_power=tx_power, label=label)
+
+
+@dataclass
+class Carrier:
+    """One channel in the initial mixed-type spectrum definition, each type being defined by
+    its delta_pdb (power offset with respect to reference power), baud rate, slot_width, roll_off
+    tx_power, and tx_osnr. delta_pdb offset is applied to target power out of Roadm.
+    Label is used to group carriers which belong to the same partition when printing results.
+    """
+    delta_pdb: float
+    baud_rate: float
+    slot_width: float
+    roll_off: float
+    tx_osnr: float
+    tx_power: float
+    label: str
+
+
+@dataclass
+class ReferenceCarrier:
+    """Reference channel type is used to determine target power out of ROADM for the reference channel when
+    constant power spectral density (PSD) equalization is set. Reference channel is the type that has been defined
+    in SI block and used for the initial design of the network.
+    Computing the power out of ROADM for the reference channel is required to correctly compute the loss
+    experienced by reference channel in Roadm element.
+
+    Baud rate is required to find the target power in constant PSD: power = PSD_target * baud_rate.
+    For example, if target PSD is 3.125e4mW/GHz and reference carrier type a 32 GBaud channel then
+    output power should be -20 dBm and for a 64 GBaud channel power target would need 3 dB more: -17 dBm.
+
+    Slot width is required to find the target power in constant PSW (constant power per slot width equalization):
+    power = PSW_target * slot_width.
+    For example, if target PSW is 2e4mW/GHz and reference carrier type a 32 GBaud channel in a 50GHz slot width then
+    output power should be -20 dBm and for a 64 GBaud channel  in a 75 GHz slot width, power target would be -18.24 dBm.
+
+    Other attributes (like roll-off) may be added there for future equalization purpose.
+    """
+    baud_rate: float
+    slot_width: float

gnpy/core/network.py

@@ -1,18 +1,27 @@
 #!/usr/bin/env python3
 # -*- coding: utf-8 -*-
 
-'''
+"""
 gnpy.core.network
 =================
 
 Working with networks which consist of network elements
-'''
+"""
 
+from copy import deepcopy
 from operator import attrgetter
-from gnpy.core import ansi_escapes, elements
-from gnpy.core.exceptions import ConfigurationError, NetworkTopologyError
-from gnpy.core.utils import round2float, convert_length
 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, psd2powerdbm, lin2db, watt2dbm, dbm2watt
+from gnpy.core.info import ReferenceCarrier, create_input_spectral_information
+from gnpy.core.parameters import SimParams, EdfaParams
+from gnpy.core.science_utils import RamanSolver
+
+
+logger = getLogger(__name__)
 
 
 def edfa_nf(gain_target, variety_type, equipment):
@@ -31,7 +40,7 @@ def edfa_nf(gain_target, variety_type, equipment):
     return amp._calc_nf(True)
 
 
-def select_edfa(raman_allowed, gain_target, power_target, equipment, uid, restrictions=None):
+def select_edfa(raman_allowed, gain_target, power_target, equipment, uid, restrictions=None, verbose=True):
     """amplifer selection algorithm
     @Orange Jean-Luc Augé
     """
@@ -54,15 +63,8 @@ def select_edfa(raman_allowed, gain_target, power_target, equipment, uid, restri
     # power attribut include power AND gain limitations
     edfa_list = [Edfa_list(
         variety=edfa_variety,
-        power=min(
-            pin
-            + edfa.gain_flatmax
-            + TARGET_EXTENDED_GAIN,
-            edfa.p_max
-        )
-        - power_target,
-        gain_min=gain_target + 3
-        - edfa.gain_min,
+        power=min(pin + edfa.gain_flatmax + TARGET_EXTENDED_GAIN, edfa.p_max) - power_target,
+        gain_min=gain_target + 3 - edfa.gain_min,
         nf=edfa_nf(gain_target, edfa_variety, equipment))
         for edfa_variety, edfa in edfa_dict.items()
         if ((edfa.allowed_for_design or restrictions is not None) and not edfa.raman)]
@@ -71,15 +73,8 @@ def select_edfa(raman_allowed, gain_target, power_target, equipment, uid, restri
     # do not allow extended gain min for Raman
     raman_list = [Edfa_list(
         variety=edfa_variety,
-        power=min(
-            pin
-            + edfa.gain_flatmax
-            + TARGET_EXTENDED_GAIN,
-            edfa.p_max
-        )
-        - power_target,
-        gain_min=gain_target
-        - edfa.gain_min,
+        power=min(pin + edfa.gain_flatmax + TARGET_EXTENDED_GAIN, edfa.p_max) - power_target,
+        gain_min=gain_target - edfa.gain_min,
         nf=edfa_nf(gain_target, edfa_variety, equipment))
         for edfa_variety, edfa in edfa_dict.items()
         if (edfa.allowed_for_design and edfa.raman)] \
@@ -103,10 +98,10 @@ def select_edfa(raman_allowed, gain_target, power_target, equipment, uid, restri
                     please increase span fiber padding')
         else:
             # TODO: convert to logging
-            print(
-                f'{ansi_escapes.red}WARNING:{ansi_escapes.reset} target gain in node {uid} is below all available amplifiers min gain: \
-                  amplifier input padding will be assumed, consider increase span fiber padding instead'
-            )
+            if verbose:
+                logger.warning(f'\n\tWARNING: target gain in node {uid} is below all available amplifiers min gain: '
+                               + '\n\tamplifier input padding will be assumed, consider increase span fiber padding '
+                               + 'instead.\n')
             acceptable_gain_min_list = edfa_list
 
     # filter on gain+power limitation:
@@ -126,33 +121,33 @@ def select_edfa(raman_allowed, gain_target, power_target, equipment, uid, restri
     #       =>chose the amp with the best NF among the acceptable ones:
     selected_edfa = min(acceptable_power_list, key=attrgetter('nf'))  # filter on NF
     # 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(
-            f'{ansi_escapes.red}WARNING:{ansi_escapes.reset} target gain and power in node {uid}\n \
-    is beyond all available amplifiers capabilities and/or extended_gain_range:\n\
-    a power reduction of {power_reduction} is applied\n'
-        )
-
+    power_reduction = min(selected_edfa.power, 0)
+    if power_reduction < -0.5 and verbose:
+        logger.warning(f'\n\tWARNING: target gain and power in node {uid}\n'
+                       + '\tis beyond all available amplifiers capabilities and/or extended_gain_range:\n'
+                       + f'\ta power reduction of {round(power_reduction, 2)} is applied\n')
     return selected_edfa.variety, power_reduction
 
 
 def target_power(network, node, equipment):  # get_fiber_dp
+    """Computes target power using J. -L. Auge, V. Curri and E. Le Rouzic,
+    Open Design for Multi-Vendor Optical Networks, OFC 2019.
+    equation 4
+    """
     if isinstance(node, elements.Roadm):
         return 0
 
     SPAN_LOSS_REF = 20
     POWER_SLOPE = 0.3
     dp_range = list(equipment['Span']['default'].delta_power_range_db)
-    node_loss = span_loss(network, node)
-
+    node_loss = span_loss(network, node, equipment)
     try:
         dp = round2float((node_loss - SPAN_LOSS_REF) * POWER_SLOPE, dp_range[2])
         dp = max(dp_range[0], dp)
         dp = min(dp_range[1], dp)
     except IndexError:
-        raise ConfigurationError(f'invalid delta_power_range_db definition in eqpt_config[Span]'
-                                 f'delta_power_range_db: [lower_bound, upper_bound, step]')
+        raise ConfigurationError('invalid delta_power_range_db definition in eqpt_config[Span]'
+                                 'delta_power_range_db: [lower_bound, upper_bound, step]')
 
     return dp
 
@@ -191,12 +186,74 @@ def next_node_generator(network, node):
         yield from next_node_generator(network, next_node)
 
 
-def span_loss(network, node):
-    """Total loss of a span (Fiber and Fused nodes) which contains the given node"""
+def estimate_raman_gain(node, equipment, power_dbm):
+    """If node is RamanFiber, then estimate the possible Raman gain if any
+    for this purpose computes stimulated_raman_scattering loss_profile. This may be time consuming.
+    """
+    if isinstance(node, elements.RamanFiber):
+        if hasattr(node, "estimated_gain"):
+            return node.estimated_gain
+        f_min = equipment['SI']['default'].f_min
+        f_max = equipment['SI']['default'].f_max
+        roll_off = equipment['SI']['default'].roll_off
+        baud_rate = equipment['SI']['default'].baud_rate
+        power = dbm2watt(power_dbm)
+        spacing = equipment['SI']['default'].spacing
+        tx_osnr = equipment['SI']['default'].tx_osnr
+
+        # reduce the nb of channels to speed up
+        spacing = spacing * 3
+        power = power * 3
+
+        sim_params = {
+            "raman_params": {
+                "flag": True,
+                "result_spatial_resolution": 50e3,
+                "solver_spatial_resolution": 100
+            }
+        }
+
+        # in order to take into account gain generated in RamanFiber, propagate in the RamanFiber with
+        if hasattr(node, "estimated_gain"):
+            # do not compute twice to save on time
+            return node.estimated_gain
+        spectral_info = create_input_spectral_information(f_min=f_min, f_max=f_max, roll_off=roll_off,
+                                                          baud_rate=baud_rate, tx_power=power, spacing=spacing,
+                                                          tx_osnr=tx_osnr)
+        pin = watt2dbm(sum(spectral_info.signal))
+        attenuation_in_db = node.params.con_in + node.params.att_in
+        spectral_info.apply_attenuation_db(attenuation_in_db)
+        save_sim_params = {"raman_params": SimParams._shared_dict['raman_params'].to_json(),
+                           "nli_params": SimParams._shared_dict['nli_params'].to_json()}
+        SimParams.set_params(sim_params)
+        stimulated_raman_scattering = RamanSolver.calculate_stimulated_raman_scattering(spectral_info, node)
+        attenuation_fiber = stimulated_raman_scattering.loss_profile[:spectral_info.number_of_channels, -1]
+        spectral_info.apply_attenuation_lin(attenuation_fiber)
+        attenuation_out_db = node.params.con_out
+        spectral_info.apply_attenuation_db(attenuation_out_db)
+        pout = watt2dbm(sum(spectral_info.signal))
+        estimated_loss = pin - pout
+        estimated_gain = node.loss - estimated_loss
+        node.estimated_gain = estimated_gain
+        SimParams.set_params(save_sim_params)
+        return round(estimated_gain, 2)
+    else:
+        return 0.0
+
+
+def span_loss(network, node, equipment, input_power=None):
+    """Total loss of a span (Fiber and Fused nodes) which contains the given node
+    Do not recompute, if it was already computed: records it in design_span_loss"""
+    if hasattr(node, "design_span_loss"):
+        return node.design_span_loss
     loss = node.loss if node.passive else 0
     loss += sum(n.loss for n in prev_node_generator(network, node))
     loss += sum(n.loss for n in next_node_generator(network, node))
-    return loss
+    # add the possible Raman gain
+    gain = estimate_raman_gain(node, equipment, input_power)
+    gain += sum(estimate_raman_gain(n, equipment, input_power) for n in prev_node_generator(network, node))
+    gain += sum(estimate_raman_gain(n, equipment, input_power) for n in next_node_generator(network, node))
+    return loss - gain
 
 
 def find_first_node(network, node):
@@ -233,46 +290,48 @@ def set_amplifier_voa(amp, power_target, power_mode):
         amp.out_voa = voa
 
 
-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)
+def set_egress_amplifier(network, this_node, equipment, pref_ch_db, pref_total_db, verbose):
+    """This node can be a transceiver or a ROADM (same function called in both cases).
+    go through each link staring from this_node until next Roadm or Transceiver and
+    set gain and delta_p according to configurations set by user.
+    power_mode = True, set amplifiers delta_p and effective_gain
+    power_mode = False, set amplifiers effective_gain and ignore delta_p config: set it to None
     """
     power_mode = equipment['Span']['default'].power_mode
     next_oms = (n for n in network.successors(this_node) if not isinstance(n, elements.Transceiver))
-    this_node_degree = {k: v for k, v in this_node.per_degree_pch_out_db.items()} if hasattr(this_node, 'per_degree_pch_out_db') else {}
     for oms in next_oms:
         # go through all the OMS departing from the ROADM
         prev_node = this_node
         node = oms
-        # if isinstance(next_node, elements.Fused): #support ROADM wo egress amp for metro applications
-        #     node = find_last_node(next_node)
-        #     next_node = next(n for n in network.successors(node))
-        #     next_node = find_last_node(next_node)
-        if node.uid not in this_node_degree:
-            # if no target power is defined on this degree or no per degree target power is given use the global one
-            # if target_pch_out_db  is not an attribute, then the element must be a transceiver
-            this_node_degree[node.uid] = getattr(this_node.params, 'target_pch_out_db', 0)
+        if isinstance(this_node, elements.Transceiver):
+            # todo change pref to a ref channel
+            if equipment['SI']['default'].tx_power_dbm is not None:
+                this_node_out_power = equipment['SI']['default'].tx_power_dbm
+            else:
+                this_node_out_power = pref_ch_db
+        if isinstance(this_node, elements.Roadm):
+            # get target power out from ROADM for the reference carrier based on equalization settings
+            this_node_out_power = this_node.get_per_degree_ref_power(degree=node.uid)
         # use the target power on this degree
-        prev_dp = this_node_degree[node.uid] - pref_ch_db
+        prev_dp = this_node_out_power - pref_ch_db
         dp = prev_dp
         prev_voa = 0
         voa = 0
         visited_nodes = []
         while not (isinstance(node, elements.Roadm) or isinstance(node, elements.Transceiver)):
             # go through all nodes in the OMS (loop until next Roadm instance)
-            try:
-                next_node = next(network.successors(node))
-            except StopIteration:
-                raise NetworkTopologyError(f'{type(node).__name__} {node.uid} is not properly connected, please check network topology')
+            next_node = get_next_node(node, network)
             visited_nodes.append(node)
             if next_node in visited_nodes:
-                raise NetworkTopologyError(f'Loop detected for {type(node).__name__} {node.uid}, please check network topology')
+                raise NetworkTopologyError(f'Loop detected for {type(node).__name__} {node.uid}, '
+                                           + 'please check network topology')
             if isinstance(node, elements.Edfa):
-                node_loss = span_loss(network, prev_node)
+                node_loss = span_loss(network, prev_node, equipment)
                 voa = node.out_voa if node.out_voa else 0
-                if node.delta_p is None:
+                if node.operational.delta_p is None:
                     dp = target_power(network, next_node, equipment) + voa
                 else:
-                    dp = node.delta_p
+                    dp = node.operational.delta_p
                 if node.effective_gain is None or power_mode:
                     gain_target = node_loss + dp - prev_dp + prev_voa
                 else:  # gain mode with effective_gain
@@ -284,7 +343,7 @@ 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
 
@@ -299,53 +358,246 @@ def set_egress_amplifier(network, this_node, equipment, pref_ch_db, pref_total_d
                         restrictions = next_node.restrictions['preamp_variety_list']
                     else:
                         restrictions = None
-                    edfa_variety, power_reduction = select_edfa(raman_allowed, gain_target, power_target, equipment, node.uid, restrictions)
+                    edfa_variety, power_reduction = select_edfa(raman_allowed, gain_target, power_target, equipment,
+                                                                node.uid, restrictions, verbose)
                     extra_params = equipment['Edfa'][edfa_variety]
                     node.params.update_params(extra_params.__dict__)
                     dp += power_reduction
                     gain_target += power_reduction
                 else:
+                    # Check power saturation also in this case
+                    p_max = equipment['Edfa'][node.params.type_variety].p_max
+                    if power_mode:
+                        power_reduction = min(0, p_max - (pref_total_db + dp))
+                    else:
+                        pout = pref_total_db + prev_dp - node_loss - prev_voa + gain_target
+                        power_reduction = min(0, p_max - pout)
+                    dp += power_reduction
+                    gain_target += power_reduction
                     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 '
-                                  'but fiber lineic loss is above threshold\n')
+                            logger.warning(f'\n\tWARNING: raman is used in node {node.uid}\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 '
-                                  'but previous node is not a fiber\n')
+                            logger.critical(f'\n\tWARNING: raman is used in node {node.uid}\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:
+                            equipment['Span']['default'].target_extended_gain > 1e-2 and verbose:
                         # 1e-2 to allow a small margin according to round2float min step
-                        print(f'{ansi_escapes.red}WARNING{ansi_escapes.reset}: '
-                              f'WARNING: effective gain in Node {node.uid} is above user '
-                              f'specified amplifier {node.params.type_variety}\n'
-                              f'max flat gain: {equipment["Edfa"][node.params.type_variety].gain_flatmax}dB ; '
-                              f'required gain: {gain_target}dB. Please check amplifier type.')
+                        logger.warning(f'\n\tWARNING: effective gain in Node {node.uid}\n'
+                                       + f'\tis above user specified amplifier {node.params.type_variety}\n'
+                                       + '\tmax flat gain: '
+                                       + f'{equipment["Edfa"][node.params.type_variety].gain_flatmax}dB ; '
+                                       + f'required gain: {round(gain_target, 2)}dB. Please check amplifier type.\n')
 
                 node.delta_p = dp if power_mode else None
                 node.effective_gain = gain_target
+                # if voa is not set, then set it and possibly optimize it with gain and update delta_p and
+                # effective_gain values
                 set_amplifier_voa(node, power_target, power_mode)
+                # set_amplifier_voa may change delta_p in power_mode
+                node._delta_p = node.delta_p if power_mode else dp
 
+                # target_pch_out_dbm records target power for design: If user defines one, then this is displayed,
+                # else display the one computed during design
+                if node.delta_p is not None and node.operational.delta_p is not None:
+                    # use the user defined target
+                    node.target_pch_out_dbm = round(node.operational.delta_p + pref_ch_db, 2)
+                elif node.delta_p is not None:
+                    # use the design target if no target were set
+                    node.target_pch_out_dbm = round(node.delta_p + pref_ch_db, 2)
+                elif node.delta_p is None:
+                    node.target_pch_out_dbm = None
+            elif isinstance(node, elements.RamanFiber):
+                _ = span_loss(network, node, equipment, input_power=pref_ch_db + dp)
             prev_dp = dp
             prev_voa = voa
             prev_node = node
             node = next_node
-            # print(f'{node.uid}')
 
-    if isinstance(this_node, elements.Roadm):
-        this_node.per_degree_pch_out_db = {k: v for k, v in this_node_degree.items()}
+
+def set_roadm_ref_carrier(roadm, equipment):
+    """ref_carrier records carrier information used for design and usefull for equalization
+    """
+    roadm.ref_carrier = ReferenceCarrier(baud_rate=equipment['SI']['default'].baud_rate,
+                                         slot_width=equipment['SI']['default'].spacing)
+
+
+def set_roadm_per_degree_targets(roadm, network):
+    """Set target powers/PSD on all degrees
+    This is needed to populate per_degree_pch_out_dbm or per_degree_pch_psd or per_degree_pch_psw dicts when
+    they are not initialized by users.
+    """
+    next_oms = (n for n in network.successors(roadm) if not isinstance(n, elements.Transceiver))
+
+    for node in next_oms:
+        # go through all the OMS departing from the ROADM
+        if node.uid not in roadm.per_degree_pch_out_dbm and node.uid not in roadm.per_degree_pch_psd and \
+                node.uid not in roadm.per_degree_pch_psw:
+            # if no target power is defined on this degree or no per degree target power is given use the global one
+            if roadm.params.target_pch_out_db:
+                roadm.per_degree_pch_out_dbm[node.uid] = roadm.params.target_pch_out_db
+            elif roadm.params.target_psd_out_mWperGHz:
+                roadm.per_degree_pch_psd[node.uid] = roadm.params.target_psd_out_mWperGHz
+            elif roadm.params.target_out_mWperSlotWidth:
+                roadm.per_degree_pch_psw[node.uid] = roadm.params.target_out_mWperSlotWidth
+            else:
+                raise ConfigurationError(roadm.uid, 'needs an equalization target')
+
+
+def set_roadm_input_powers(network, roadm, equipment, pref_ch_db):
+    """Set reference powers at ROADM input for a reference channel and based on the adjacent OMS.
+    This supposes that there is no dependency on path. For example, the succession:
+    node                             power out of element
+    roadm A (target power -10dBm)   -10dBm
+    fiber A (16 dB loss)            -26dBm
+    roadm B (target power -12dBm)   -26dBm
+    fiber B (10 dB loss)            -36dBm
+    roadm C (target power -14dBm)   -36dBm
+    is not consistent because target powers in roadm B and roadm C can not be met.
+    input power for the reference channel will be set -26 dBm in roadm B and -22dBm in roadm C,
+    because at design time we can not know about path.
+    The function raises a warning if target powers can not be met with the design.
+    User should be aware that design was not successfull and that power reduction was applied.
+    Note that this value is only used for visualisation purpose (to compute ROADM loss in elements).
+    """
+    previous_elements = [n for n in network.predecessors(roadm)]
+    roadm.ref_pch_in_dbm = {}
+    for element in previous_elements:
+        node = element
+        loss = 0.0
+        while isinstance(node, (elements.Fiber, elements.Fused, elements.RamanFiber)):
+            # go through all predecessors until a power target is found either in an amplifier, a ROADM or a transceiver
+            # then deduce power at ROADM input from this degree based on this target and crossed losses
+            loss += node.loss
+            previous_node = node
+            node = next(network.predecessors(node))
+        if isinstance(node, elements.Edfa):
+            roadm.ref_pch_in_dbm[element.uid] = pref_ch_db + node._delta_p - node.out_voa - loss
+        elif isinstance(node, elements.Roadm):
+            roadm.ref_pch_in_dbm[element.uid] = \
+                node.get_per_degree_ref_power(degree=previous_node.uid) - loss
+        elif isinstance(node, elements.Transceiver):
+            roadm.ref_pch_in_dbm[element.uid] = pref_ch_db - loss
+    # check if target power can be met
+    temp = []
+    if roadm.per_degree_pch_out_dbm:
+        temp.append(max([p for p in roadm.per_degree_pch_out_dbm.values()]))
+    if roadm.per_degree_pch_psd:
+        temp.append(max([psd2powerdbm(p, roadm.ref_carrier.baud_rate) for p in roadm.per_degree_pch_psd.values()]))
+    if roadm.per_degree_pch_psw:
+        temp.append(max([psd2powerdbm(p, roadm.ref_carrier.slot_width) for p in roadm.per_degree_pch_psw.values()]))
+    if roadm.params.target_pch_out_db:
+        temp.append(roadm.params.target_pch_out_db)
+    if roadm.params.target_psd_out_mWperGHz:
+        temp.append(psd2powerdbm(roadm.params.target_psd_out_mWperGHz, roadm.ref_carrier.baud_rate))
+    if roadm.params.target_out_mWperSlotWidth:
+        temp.append(psd2powerdbm(roadm.params.target_out_mWperSlotWidth, roadm.ref_carrier.slot_width))
+    if not temp:
+        raise ConfigurationError(f'Could not find target power/PSD/PSW in ROADM "{roadm.uid}"')
+    target_to_be_supported = max(temp)
+    for from_degree, in_power in roadm.ref_pch_in_dbm.items():
+        if in_power < target_to_be_supported:
+            logger.warning(
+                f'WARNING: maximum target power {target_to_be_supported}dBm '
+                + f'in ROADM "{roadm.uid}" can not be met for at least one crossing path. Min input power '
+                + f'from "{from_degree}" direction is {round(in_power, 2)}dBm. Please correct input topology.'
+            )
+
+
+def set_fiber_input_power(network, fiber, equipment, pref_ch_db):
+    """Set reference powers at fiber input for a reference channel.
+    Supposes that target power out of ROADMs and amplifiers are consistent.
+    This is only for visualisation purpose
+    """
+    loss = 0.0
+    node = next(network.predecessors(fiber))
+    while isinstance(node, elements.Fused):
+        loss += node.loss
+        previous_node = node
+        node = next(network.predecessors(node))
+    if isinstance(node, (elements.Fiber, elements.RamanFiber)) and node.ref_pch_in_dbm is not None:
+        fiber.ref_pch_in_dbm = node.ref_pch_in_dbm - loss - node.loss
+    if isinstance(node, (elements.Fiber, elements.RamanFiber)) and node.ref_pch_in_dbm is None:
+        set_fiber_input_power(network, node, equipment, pref_ch_db)
+        fiber.ref_pch_in_dbm = node.ref_pch_in_dbm - loss - node.loss
+    elif isinstance(node, elements.Roadm):
+        fiber.ref_pch_in_dbm = \
+            node.get_per_degree_ref_power(degree=previous_node.uid) - loss
+    elif isinstance(node, elements.Edfa):
+        fiber.ref_pch_in_dbm = pref_ch_db + node._delta_p - node.out_voa - loss
+    elif isinstance(node, elements.Transceiver):
+        fiber.ref_pch_in_dbm = pref_ch_db - loss
+
+
+def set_roadm_internal_paths(roadm, network):
+    """Set ROADM path types (express, add, drop)
+
+    Uses implicit guess if no information is set in ROADM
+    """
+    next_oms = [n.uid for n in network.successors(roadm) if not isinstance(n, elements.Transceiver)]
+    previous_oms = [n.uid for n in network.predecessors(roadm) if not isinstance(n, elements.Transceiver)]
+    drop_port = [n.uid for n in network.successors(roadm) if isinstance(n, elements.Transceiver)]
+    add_port = [n.uid for n in network.predecessors(roadm) if isinstance(n, elements.Transceiver)]
+
+    default_express = 'express'
+    default_add = 'add'
+    default_drop = 'drop'
+    # take user defined element impairment id if it exists
+    correct_from_degrees = []
+    correct_add = []
+    correct_to_degrees = []
+    correct_drop = []
+    for from_degree in previous_oms:
+        correct_from_degrees.append(from_degree)
+        for to_degree in next_oms:
+            correct_to_degrees.append(to_degree)
+            impairment_id = roadm.get_per_degree_impairment_id(from_degree, to_degree)
+            roadm.set_roadm_paths(from_degree=from_degree, to_degree=to_degree, path_type=default_express,
+                                  impairment_id=impairment_id)
+        for drop in drop_port:
+            correct_drop.append(drop)
+            impairment_id = roadm.get_per_degree_impairment_id(from_degree, drop)
+            path_type = roadm.get_path_type_per_id(impairment_id)
+            # a degree connected to a transceiver MUST be add or drop
+            # but a degree connected  to something else could be an express, add or drop
+            # (for example case of external shelves)
+            if path_type and path_type != 'drop':
+                msg = f'Roadm {roadm.uid} path_type is defined as {path_type} but it should be drop'
+                raise NetworkTopologyError(msg)
+            roadm.set_roadm_paths(from_degree=from_degree, to_degree=drop, path_type=default_drop,
+                                  impairment_id=impairment_id)
+    for to_degree in next_oms:
+        for add in add_port:
+            correct_add.append(add)
+            impairment_id = roadm.get_per_degree_impairment_id(add, to_degree)
+            path_type = roadm.get_path_type_per_id(impairment_id)
+            if path_type and path_type != 'add':
+                msg = f'Roadm {roadm.uid} path_type is defined as {path_type} but it should be add'
+                raise NetworkTopologyError(msg)
+            roadm.set_roadm_paths(from_degree=add, to_degree=to_degree, path_type=default_add,
+                                  impairment_id=impairment_id)
+    # sanity check: raise an error if per_degree from or to degrees are not in the correct list
+    # raise an error if user defined path_type is not consistent with inferred path_type:
+    for item in roadm.per_degree_impairments.values():
+        if item['from_degree'] not in correct_from_degrees + correct_add or \
+                item['to_degree'] not in correct_to_degrees + correct_drop:
+            msg = f'Roadm {roadm.uid} has wrong from-to degree uid {item["from_degree"]} - {item["to_degree"]}'
+            raise NetworkTopologyError(msg)
 
 
 def add_roadm_booster(network, roadm):
     next_nodes = [n for n in network.successors(roadm)
-                  if not (isinstance(n, elements.Transceiver) or isinstance(n, elements.Fused) or isinstance(n, elements.Edfa))]
+                  if not (isinstance(n, elements.Transceiver) or isinstance(n, elements.Fused)
+                  or isinstance(n, elements.Edfa))]
     # no amplification for fused spans or TRX
     for next_node in next_nodes:
         network.remove_edge(roadm, next_node)
         amp = elements.Edfa(
             uid=f'Edfa_booster_{roadm.uid}_to_{next_node.uid}',
-            params={},
+            params=EdfaParams.default_values,
             metadata={
                 'location': {
                     'latitude': roadm.lat,
@@ -371,7 +623,7 @@ 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=EdfaParams.default_values,
             metadata={
                 'location': {
                     'latitude': roadm.lat,
@@ -394,13 +646,13 @@ def add_roadm_preamp(network, roadm):
 
 
 def add_inline_amplifier(network, fiber):
-    next_node = next(network.successors(fiber))
+    next_node = get_next_node(fiber, network)
     if isinstance(next_node, elements.Fiber) or isinstance(next_node, elements.RamanFiber):
         # no amplification for fused spans or TRX
         network.remove_edge(fiber, next_node)
         amp = elements.Edfa(
             uid=f'Edfa_{fiber.uid}',
-            params={},
+            params=EdfaParams.default_values,
             metadata={
                 'location': {
                     'latitude': (fiber.lat + next_node.lat) / 2,
@@ -419,6 +671,9 @@ def add_inline_amplifier(network, fiber):
 
 
 def calculate_new_length(fiber_length, bounds, target_length):
+    """If fiber is over boundary, then assume this is a link "intent" and computes the set of
+    identical fiber spans this link should be composed of.
+    """
     if fiber_length < bounds.stop:
         return fiber_length, 1
 
@@ -432,13 +687,27 @@ def calculate_new_length(fiber_length, bounds, target_length):
         return (length1, n_spans1)
     elif (bounds.start <= length2 <= bounds.stop) and not(bounds.start <= length1 <= bounds.stop):
         return (length2, n_spans2)
-    elif target_length - length1 < length2 - target_length:
-        return (length1, n_spans1)
-    else:
+    elif length2 - target_length <= target_length - length1 and length2 <= bounds.stop:
         return (length2, n_spans2)
+    else:
+        return (length1, n_spans1)
 
 
-def split_fiber(network, fiber, bounds, target_length, equipment):
+def get_next_node(node, network):
+    """get_next node else raise tha appropriate error
+    """
+    try:
+        next_node = next(network.successors(node))
+        return next_node
+    except StopIteration:
+        raise NetworkTopologyError(
+            f'{type(node).__name__} {node.uid} is not properly connected, please check network topology')
+
+
+def split_fiber(network, fiber, bounds, target_length):
+    """If fiber length exceeds boundary then assume this is a link "intent", and replace this one-span link
+    with an n_spans link, with identical fiber types.
+    """
     new_length, n_spans = calculate_new_length(fiber.params.length, bounds, target_length)
     if n_spans == 1:
         return
@@ -481,11 +750,10 @@ def split_fiber(network, fiber, bounds, target_length, equipment):
 
 
 def add_connector_loss(network, fibers, default_con_in, default_con_out, EOL):
+    """Add default connector loss if no loss are defined. EOL repair margin is added as a connector loss
+    """
     for fiber in fibers:
-        try:
-            next_node = next(network.successors(fiber))
-        except StopIteration:
-            raise NetworkTopologyError(f'Fiber {fiber.uid} is not properly connected, please check network topology')
+        next_node = get_next_node(fiber, network)
         if fiber.params.con_in is None:
             fiber.params.con_in = default_con_in
         if fiber.params.con_out is None:
@@ -494,19 +762,18 @@ def add_connector_loss(network, fibers, default_con_in, default_con_out, EOL):
             fiber.params.con_out += EOL
 
 
-def add_fiber_padding(network, fibers, padding):
-    """last_fibers = (fiber for n in network.nodes()
-                         if not (isinstance(n, elements.Fiber) or isinstance(n, elements.Fused))
-                         for fiber in network.predecessors(n)
-                         if isinstance(fiber, elements.Fiber))"""
+def add_fiber_padding(network, fibers, padding, equipment):
+    """Add a padding att_in at the input of the 1st fiber of a succession of fibers and fused
+    """
     for fiber in fibers:
-        try:
-            next_node = next(network.successors(fiber))
-        except StopIteration:
-            raise NetworkTopologyError(f'Fiber {fiber.uid} is not properly connected, please check network topology')
+        next_node = get_next_node(fiber, network)
         if isinstance(next_node, elements.Fused):
             continue
-        this_span_loss = span_loss(network, fiber)
+        # do not pad if this is a Raman Fiber
+        if isinstance(fiber, elements.RamanFiber):
+            continue
+        this_span_loss = span_loss(network, fiber, equipment)
+        fiber.design_span_loss = this_span_loss
         if this_span_loss < padding:
             # add a padding att_in at the input of the 1st fiber:
             # address the case when several fibers are spliced together
@@ -515,42 +782,69 @@ def add_fiber_padding(network, fibers, padding):
             # just after a roadm: need to check that first_fiber is really a fiber
             if isinstance(first_fiber, elements.Fiber):
                 first_fiber.params.att_in = first_fiber.params.att_in + padding - this_span_loss
+                fiber.design_span_loss += first_fiber.params.att_in
 
 
-def build_network(network, equipment, pref_ch_db, pref_total_db, no_insert_edfas=False):
+def add_missing_elements_in_network(network, equipment):
+    """Autodesign network: add missing elements. split fibers if their length is too big
+    add ROADM preamp or booster and inline amplifiers between fibers
+    """
     default_span_data = equipment['Span']['default']
     max_length = int(convert_length(default_span_data.max_length, default_span_data.length_units))
     min_length = max(int(default_span_data.padding / 0.2 * 1e3), 50_000)
     bounds = range(min_length, max_length)
     target_length = max(min_length, min(max_length, 90_000))
-
-    # set roadm loss for gain_mode before to build network
     fibers = [f for f in network.nodes() if isinstance(f, elements.Fiber)]
-    add_connector_loss(network, fibers, default_span_data.con_in, default_span_data.con_out, default_span_data.EOL)
-    # don't group split fiber and add amp in the same loop
-    # =>for code clarity (at the expense of speed):
-
-    roadms = [r for r in network.nodes() if isinstance(r, elements.Roadm)]
-
-    if not no_insert_edfas:
     for fiber in fibers:
-            split_fiber(network, fiber, bounds, target_length, equipment)
-
+        split_fiber(network, fiber, bounds, target_length)
+    roadms = [r for r in network.nodes() if isinstance(r, elements.Roadm)]
     for roadm in roadms:
         add_roadm_preamp(network, roadm)
         add_roadm_booster(network, roadm)
-
     fibers = [f for f in network.nodes() if isinstance(f, elements.Fiber)]
     for fiber in fibers:
         add_inline_amplifier(network, fiber)
 
-    add_fiber_padding(network, fibers, default_span_data.padding)
 
+def add_missing_fiber_attributes(network, equipment):
+    """Fill in connector loss with default values. Add the padding loss is required.
+    EOL is added as a connector loss
+    """
+    default_span_data = equipment['Span']['default']
+    fibers = [f for f in network.nodes() if isinstance(f, elements.Fiber)]
+    add_connector_loss(network, fibers, default_span_data.con_in, default_span_data.con_out, default_span_data.EOL)
+    # don't group split fiber and add amp in the same loop
+    # =>for code clarity (at the expense of speed):
+    add_fiber_padding(network, fibers, default_span_data.padding, equipment)
+
+
+def build_network(network, equipment, pref_ch_db, pref_total_db, set_connector_losses=True, verbose=True):
+    """Set roadm equalization target and amplifier gain and power
+    """
+    roadms = [r for r in network.nodes() if isinstance(r, elements.Roadm)]
+    transceivers = [t for t in network.nodes() if isinstance(t, elements.Transceiver)]
+
+    if set_connector_losses:
+        add_missing_fiber_attributes(network, equipment)
+    # set roadm equalization targets first
     for roadm in roadms:
-        set_egress_amplifier(network, roadm, equipment, pref_ch_db, pref_total_db)
+        set_roadm_ref_carrier(roadm, equipment)
+        set_roadm_per_degree_targets(roadm, network)
+    # then set amplifiers gain, delta_p and out_voa on each OMS
+    for roadm in roadms + transceivers:
+        set_egress_amplifier(network, roadm, equipment, pref_ch_db, pref_total_db, verbose)
+    for roadm in roadms:
+        set_roadm_input_powers(network, roadm, equipment, pref_ch_db)
+        set_roadm_internal_paths(roadm, network)
+    for fiber in [f for f in network.nodes() if isinstance(f, (elements.Fiber, elements.RamanFiber))]:
+        set_fiber_input_power(network, fiber, equipment, pref_ch_db)
 
-    trx = [t for t in network.nodes() if isinstance(t, elements.Transceiver)]
-    for t in trx:
-        next_node = next(network.successors(t), None)
-        if next_node and not isinstance(next_node, elements.Roadm):
-            set_egress_amplifier(network, t, equipment, 0, pref_total_db)
+
+def design_network(reference_channel, network, equipment, set_connector_losses=True, verbose=True):
+    """Network is designed according to reference channel. Verbose indicate if the function should
+    print all warnings or not
+    """
+    pref_ch_db = watt2dbm(reference_channel.power)  # reference channel power
+    pref_total_db = pref_ch_db + lin2db(reference_channel.nb_channel)  # reference total power
+    build_network(network, equipment, pref_ch_db, pref_total_db, set_connector_losses=set_connector_losses,
+                  verbose=verbose)

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
@@ -35,7 +36,8 @@ 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
+        """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
@@ -44,39 +46,46 @@ class RamanParams(Parameters):
         self.result_spatial_resolution = result_spatial_resolution  # [m]
         self.solver_spatial_resolution = solver_spatial_resolution  # [m]
 
+    def to_json(self):
+        return {"flag": self.flag,
+                "result_spatial_resolution": self.result_spatial_resolution,
+                "solver_spatial_resolution": self.solver_spatial_resolution}
+
 
 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
+                 computed_channels=None, computed_number_of_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
         :params computed_channels: the NLI is evaluated for these channels and extrapolated for the others
+        :params computed_number_of_channels: the NLI is evaluated for this number of channels equally distributed
+        in the spectrum and extrapolated for the others
         """
         self.method = method.lower()
         self.dispersion_tolerance = dispersion_tolerance
         self.phase_shift_tolerance = phase_shift_tolerance
         self.computed_channels = computed_channels
+        self.computed_number_of_channels = computed_number_of_channels
+
+    def to_json(self):
+        return {"method": self.method,
+                "dispersion_tolerance": self.dispersion_tolerance,
+                "phase_shift_tolerance": self.phase_shift_tolerance,
+                "computed_channels": self.computed_channels,
+                "computed_number_of_channels": self.computed_number_of_channels}
 
 
 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']
@@ -88,15 +97,84 @@ class SimParams(Parameters):
 
 class RoadmParams(Parameters):
     def __init__(self, **kwargs):
+        self.target_pch_out_db = kwargs.get('target_pch_out_db')
+        self.target_psd_out_mWperGHz = kwargs.get('target_psd_out_mWperGHz')
+        self.target_out_mWperSlotWidth = kwargs.get('target_out_mWperSlotWidth')
+        equalisation_type = ['target_pch_out_db', 'target_psd_out_mWperGHz', 'target_out_mWperSlotWidth']
+        temp = [kwargs.get(k) is not None for k in equalisation_type]
+        if sum(temp) > 1:
+            raise ParametersError('ROADM config contains more than one equalisation type.'
+                                  + 'Please choose only one', kwargs)
+        self.per_degree_pch_out_db = kwargs.get('per_degree_pch_out_db', {})
+        self.per_degree_pch_psd = kwargs.get('per_degree_psd_out_mWperGHz', {})
+        self.per_degree_pch_psw = kwargs.get('per_degree_psd_out_mWperSlotWidth', {})
         try:
-            self.target_pch_out_db = kwargs['target_pch_out_db']
             self.add_drop_osnr = kwargs['add_drop_osnr']
             self.pmd = kwargs['pmd']
             self.pdl = kwargs['pdl']
             self.restrictions = kwargs['restrictions']
-            self.per_degree_pch_out_db = kwargs['per_degree_pch_out_db'] if 'per_degree_pch_out_db' in kwargs else {}
+            self.roadm_path_impairments = self.get_roadm_path_impairments(kwargs['roadm-path-impairments'])
         except KeyError as e:
             raise ParametersError(f'ROADM configurations must include {e}. Configuration: {kwargs}')
+        self.per_degree_impairments = kwargs.get('per_degree_impairments', [])
+
+    def get_roadm_path_impairments(self, path_impairments_list):
+        """Get the ROADM list of profiles for impairments definition
+
+        transform the ietf model into gnpy internal model: add a path-type in the attributes
+        """
+        if not path_impairments_list:
+            return {}
+        authorized_path_types = {
+            'roadm-express-path': 'express',
+            'roadm-add-path': 'add',
+            'roadm-drop-path': 'drop',
+        }
+        roadm_path_impairments = {}
+        for path_impairment in path_impairments_list:
+            index = path_impairment['roadm-path-impairments-id']
+            path_type = next(key for key in path_impairment if key in authorized_path_types.keys())
+            impairment_dict = dict({'path-type': authorized_path_types[path_type]}, **path_impairment[path_type][0])
+            roadm_path_impairments[index] = RoadmImpairment(impairment_dict)
+        return roadm_path_impairments
+
+
+class RoadmPath:
+    def __init__(self, from_degree, to_degree, path_type, impairment_id=None, impairment=None):
+        """Records roadm internal paths, types and impairment
+
+        path_type must be in "express", "add", "drop"
+        impairment_id must be one of the id detailed in equipement
+        """
+        self.from_degree = from_degree
+        self.to_degree = to_degree
+        self.path_type = path_type
+        self.impairment_id = impairment_id
+        self.impairment = impairment
+
+
+class RoadmImpairment:
+    """Generic definition of impairments for express, add and drop"""
+    def __init__(self, params):
+        """Records roadm internal paths and types"""
+        self.path_type = params.get('path-type')
+        self.pmd = params.get('roadm-pmd')
+        self.cd = params.get('roadm-cd')
+        self.pdl = params.get('roadm-pdl')
+        self.inband_crosstalk = params.get('roadm-inband-crosstalk')
+        self.maxloss = params.get('roadm-maxloss', 0)
+        if params.get('frequency-range') is not None:
+            self.fmin = params.get('frequency-range')['lower-frequency']
+            self.fmax = params.get('frequency-range')['upper-frequency']
+        else:
+            self.fmin, self.fmax = None, None
+        self.osnr = params.get('roadm-osnr', None)
+        self.pmax = params.get('roadm-pmax', None)
+        self.nf = params.get('roadm-noise-figure', None)
+        self.minloss = params.get('minloss', None)
+        self.typloss = params.get('typloss', None)
+        self.pmin = params.get('pmin', None)
+        self.ptyp = params.get('ptyp', None)
 
 
 class FusedParams(Parameters):
@@ -104,26 +182,75 @@ 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)
-CR_NORM = array([
-    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,
-    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,
-    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,
-    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,
-    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,
-    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,
-    4.565e-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,
-    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,
-    8.715e-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,
-    1.577e-16, 9.96e-17, 3.32e-17, 1.66e-17, 8.3e-18])
+DEFAULT_RAMAN_COEFFICIENT = {
+    # SSMF Raman coefficient profile in terms of mode intensity (g0 * A_ff_overlap)
+    'gamma_raman': array(
+        [0.0, 8.524419934705497e-16, 2.643567866245371e-15, 4.410548410941305e-15, 6.153422961291078e-15,
+         7.484924703044943e-15, 8.452060808349209e-15, 9.101549322698156e-15, 9.57837595158966e-15,
+         1.0008642675474562e-14, 1.0865773569905647e-14, 1.1300776305865833e-14, 1.2143238647099625e-14,
+         1.3231065750676068e-14, 1.4624900971525384e-14, 1.6013330554840492e-14, 1.7458119359310242e-14,
+         1.9320241330434762e-14, 2.1720395392873534e-14, 2.4137337406734775e-14, 2.628163218460466e-14,
+         2.8041019963285974e-14, 2.9723155447089933e-14, 3.129353531005888e-14, 3.251796163324624e-14,
+         3.3198839487612773e-14, 3.329527690685666e-14, 3.313155691238456e-14, 3.289013852154548e-14,
+         3.2458917188506916e-14, 3.060684277937575e-14, 3.2660349473783173e-14, 2.957419109657689e-14,
+         2.518894321396672e-14, 1.734560485857344e-14, 9.902860761605233e-15, 7.219176385099358e-15,
+         6.079565990401311e-15, 5.828373065963427e-15, 7.20580801091692e-15, 7.561924351387493e-15,
+         7.621152352332206e-15, 6.8859886780643254e-15, 5.629181047471162e-15, 3.679727598966185e-15,
+         2.7555869742500355e-15, 2.4810133942597675e-15, 2.2160080532403624e-15, 2.1440626024765557e-15,
+         2.33873070799544e-15, 2.557317929858713e-15, 3.039839048226572e-15, 4.8337165515610065e-15,
+         5.4647431818257436e-15, 5.229187813711269e-15, 4.510768525811313e-15, 3.3213473130607794e-15,
+         2.2602577027996455e-15, 1.969576495866441e-15, 1.5179853954188527e-15, 1.2953988551200156e-15,
+         1.1304672156251838e-15, 9.10004390675213e-16, 8.432919922183503e-16, 7.849224069008326e-16,
+         7.827568196032024e-16, 9.000514440646232e-16, 1.3025926460013665e-15, 1.5444108938497558e-15,
+         1.8795594063060786e-15, 1.7796130169921014e-15, 1.5938159865046653e-15, 1.1585522355108287e-15,
+         8.507044444633358e-16, 7.625404663756823e-16, 8.14510750925789e-16, 9.047944693473188e-16,
+         9.636431901702084e-16, 9.298633899602105e-16, 8.349739503637023e-16, 7.482901278066085e-16,
+         6.240794767134268e-16, 5.00652535687506e-16, 3.553373263685851e-16, 2.0344217706119682e-16,
+         1.4267522642294203e-16, 8.980016576743517e-17, 2.9829068181832594e-17, 1.4861959129014824e-17,
+         7.404482113326137e-18]
+    ),  # m/W
+    # SSMF Raman coefficient profile
+    'g0': array(
+        [0.00000000e+00, 1.12351610e-05, 3.47838074e-05, 5.79356636e-05, 8.06921680e-05, 9.79845709e-05, 1.10454361e-04,
+         1.18735302e-04, 1.24736889e-04, 1.30110053e-04, 1.41001273e-04, 1.46383247e-04, 1.57011792e-04, 1.70765865e-04,
+         1.88408911e-04, 2.05914127e-04, 2.24074028e-04, 2.47508283e-04, 2.77729174e-04, 3.08044243e-04, 3.34764439e-04,
+         3.56481704e-04, 3.77127256e-04, 3.96269124e-04, 4.10955175e-04, 4.18718761e-04, 4.19511263e-04, 4.17025384e-04,
+         4.13565369e-04, 4.07726048e-04, 3.83671291e-04, 4.08564283e-04, 3.69571936e-04, 3.14442090e-04, 2.16074535e-04,
+         1.23097823e-04, 8.95457457e-05, 7.52470400e-05, 7.19806145e-05, 8.87961158e-05, 9.30812065e-05, 9.37058268e-05,
+         8.45719619e-05, 6.90585286e-05, 4.50407159e-05, 3.36521245e-05, 3.02292475e-05, 2.69376939e-05, 2.60020897e-05,
+         2.82958958e-05, 3.08667558e-05, 3.66024657e-05, 5.80610307e-05, 6.54797937e-05, 6.25022715e-05, 5.37806442e-05,
+         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]
+    ),  # [1 / (W m)]
 
-# Note the non-uniform spacing of this range; this is required for properly capturing the Raman peak shape.
-FREQ_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.,
-    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,
-    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
+    # Note the non-uniform spacing of this range; this is required for properly capturing the Raman peak shape.
+    '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., 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, 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': 206.184634112792e12,  # [Hz] (1454 nm)
+
+    # Raman profile reference effective area
+    'reference_effective_area': 75.74659443542413e-12  # [m^2] (@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):
@@ -137,6 +264,8 @@ 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
@@ -146,35 +275,77 @@ 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 = \
-                kwargs.get('dispersion_slope', -2 * self._dispersion / self.ref_wavelength)  # s/m/m/m
-            self._beta2 = -(self.ref_wavelength ** 2) * self.dispersion / (2 * pi * c)  # 1/(m * Hz^2)
-            # Eq. (3.23) in  Abramczyk, Halina. "Dispersion phenomena in optical fibers." Virtual European University
-            # on Lasers. Available online: http://mitr.p.lodz.pl/evu/lectures/Abramczyk3.pdf
-            # (accessed on 25 March 2018) (2005).
-            self._beta3 = ((self.dispersion_slope - (4*pi*c/self.ref_wavelength**3) * self.beta2) /
-                           (2*pi*c/self.ref_wavelength**2)**2)
+
+            # Chromatic Dispersion
+            if 'dispersion_per_frequency' in kwargs:
+                # Frequency-dependent dispersion
+                self._dispersion = asarray(kwargs['dispersion_per_frequency']['value'])  # s/m/m
+                self._f_dispersion_ref = asarray(kwargs['dispersion_per_frequency']['frequency'])  # Hz
+                self._dispersion_slope = None
+            elif 'dispersion' in kwargs:
+                # 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
-            if self._effective_area:
-                self._gamma = kwargs.get('gamma', 2 * pi * n2 / (self.ref_wavelength * self._effective_area))  # 1/W/m
+            self._n1 = 1.468
+            self._core_radius = 4.2e-6  # 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._raman_efficiency = kwargs.get('raman_efficiency', default_raman_efficiency)
+                self._gamma = 2 * pi * self._n2 / (self._ref_wavelength * self._effective_area)  # 1/W/m
+            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')
+            if raman_coefficient is None:
+                self._raman_reference_frequency = DEFAULT_RAMAN_COEFFICIENT['reference_frequency']
+                frequency_offset = asarray(DEFAULT_RAMAN_COEFFICIENT['frequency_offset'])
+                gamma_raman = asarray(DEFAULT_RAMAN_COEFFICIENT['gamma_raman'])
+                stokes_wave = self._raman_reference_frequency - frequency_offset
+                normalized_gamma_raman = gamma_raman / self._raman_reference_frequency  # 1 / m / W / Hz
+                self._g0 = gamma_raman / self.effective_area_overlap(stokes_wave, self._raman_reference_frequency)
+            else:
+                self._raman_reference_frequency = raman_coefficient['reference_frequency']
+                frequency_offset = asarray(raman_coefficient['frequency_offset'])
+                stokes_wave = self._raman_reference_frequency - frequency_offset
+                self._g0 = asarray(raman_coefficient['g0'])
+                gamma_raman = self._g0 * self.effective_area_overlap(stokes_wave, self._raman_reference_frequency)
+                normalized_gamma_raman = gamma_raman / self._raman_reference_frequency  # 1 / m / W / Hz
+
+            # 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}')
 
@@ -219,6 +390,10 @@ 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
@@ -227,6 +402,20 @@ 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
@@ -239,14 +428,6 @@ 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
@@ -256,36 +437,157 @@ class FiberParams(Parameters):
         return self._f_loss_ref
 
     @property
-    def raman_efficiency(self):
-        return self._raman_efficiency
+    def raman_coefficient(self):
+        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:
-            dictionary.pop('raman_efficiency')
+        if not self.raman_coefficient:
+            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:
+    default_values = {
+        'f_min': 191.3e12,
+        'f_max': 196.1e12,
+        'multi_band': None,
+        'bands': [],
+        'type_variety': '',
+        'type_def': '',
+        'gain_flatmax': None,
+        'gain_min': None,
+        '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': 0,
+        'dgt': 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,
+        'advance_configurations_from_json': None
+    }
+
     def __init__(self, **params):
-        self.update_params(params)
-        if params == {}:
-            self.type_variety = ''
-            self.type_def = ''
-            # self.gain_flatmax = 0
-            # self.gain_min = 0
-            # self.p_max = 0
-            # self.nf_model = None
-            # self.nf_fit_coeff = None
-            # self.nf_ripple = None
-            # self.dgt = None
-            # self.gain_ripple = None
-            # self.out_voa_auto = False
-            # self.allowed_for_design = None
+        try:
+            self.type_variety = params['type_variety']
+            self.type_def = params['type_def']
+
+            # Bandwidth
+            self.f_min = params['f_min']
+            self.f_max = params['f_max']
+            self.bandwidth = self.f_max - self.f_min
+            self.f_cent = (self.f_max + self.f_min) / 2
+            self.f_ripple_ref = params['f_ripple_ref']
+
+            # Gain
+            self.gain_flatmax = params['gain_flatmax']
+            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, empty, trapz, arcsinh, \
-    clip, abs, sum, concatenate, flip, outer, inner, transpose, max, format_float_scientific, diag, prod, argwhere, \
-    unique, argsort, cumprod
+from numpy import interp, pi, zeros, cos, array, append, ones, exp, arange, sqrt, trapz, arcsinh, clip, abs, sum, \
+    concatenate, flip, outer, inner, transpose, max, format_float_scientific, diag, sort, 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
-    :param carriers: namedtuple describing the WDM comb
-    :return: PSD of the WDM comb evaluated over f
+def raised_cosine(frequency, channel_frequency, channel_baud_rate, channel_roll_off):
+    """Returns a unitary raised cosine profile for the given parame
+
+    :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))
-    for carrier in carriers:
-        f_nch = carrier.frequency
-        g_ch = carrier.power.signal / carrier.baud_rate
-        ts = 1 / carrier.baud_rate
-        pass_band = (1 - carrier.roll_off) / (2 / carrier.baud_rate)
-        stop_band = (1 + carrier.roll_off) / (2 / carrier.baud_rate)
-        ff = abs(f - f_nch)
-        tf = ff - pass_band
-        if carrier.roll_off == 0:
-            psd = where(tf <= 0, g_ch, 0.) + psd
-        else:
-            psd = g_ch * (where(tf <= 0, 1., 0.) + 1 / 2 * (1 + cos(pi * ts / carrier.roll_off * tf)) *
-                          where(tf > 0, 1., 0.) * where(abs(ff) <= stop_band, 1., 0.)) + psd
-    return psd
+    raised_cosine_mask = zeros(frequency.size)
+    base_frequency = frequency - channel_frequency
+    ts = 1 / channel_baud_rate
+    pass_band = (1 - channel_roll_off) * channel_baud_rate / 2
+    stop_band = (1 + channel_roll_off) * channel_baud_rate / 2
+
+    flat_condition = (abs(base_frequency) <= pass_band) == 1
+    cosine_condition = (pass_band < abs(base_frequency)) * (abs(base_frequency) < stop_band) == 1
+
+    raised_cosine_mask[flat_condition] = 1
+    raised_cosine_mask[cosine_condition] = \
+        0.5 * (1 + cos(pi * ts / channel_roll_off * (abs(base_frequency[cosine_condition]) - pass_band)))
+    return raised_cosine_mask
 
 
 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)
@@ -131,20 +131,20 @@ class RamanSolver:
                 cnt_frequency = array([pump.frequency for pump in fiber.raman_pumps
                                        if pump.propagation_direction == 'counterprop'])
                 # Co-propagating profile initialization
-                co_power_profile = empty([co_frequency.size, z.size])
+                co_power_profile = zeros([co_frequency.size, z.size])
                 if co_frequency.size:
                     co_cr = fiber.cr(co_frequency)
                     co_alpha = fiber.alpha(co_frequency)
                     co_power_profile = \
                         RamanSolver.first_order_derivative_solution(co_power, co_alpha, co_cr, z, lumped_losses)
                 # Counter-propagating profile initialization
-                cnt_power_profile = empty([co_frequency.size, z.size])
+                cnt_power_profile = zeros([cnt_frequency.size, z.size])
                 if cnt_frequency.size:
                     cnt_cr = fiber.cr(cnt_frequency)
                     cnt_alpha = fiber.alpha(cnt_frequency)
                     cnt_power_profile = \
                         flip(RamanSolver.first_order_derivative_solution(cnt_power, cnt_alpha, cnt_cr,
-                                                                         z[-1] - flip(z), flip(lumped_losses)))
+                                                                         z[-1] - flip(z), flip(lumped_losses)), axis=1)
                 # Co-propagating and Counter-propagating Profile Computation
                 if co_frequency.size and cnt_frequency.size:
                     co_power_profile, cnt_power_profile = \
@@ -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
@@ -271,13 +271,16 @@ class RamanSolver:
 
 
 class NliSolver:
-    """ This class implements the NLI models.
+    """This class implements the NLI models.
     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
@@ -287,58 +290,85 @@ class NliSolver:
 
     @staticmethod
     def compute_nli(spectral_info: SpectralInformation, srs: StimulatedRamanScattering, fiber):
-        """ Compute NLI power generated by the WDM comb `*carriers` on the channel under test `carrier`
+        """Compute NLI power generated by the WDM comb `*carriers` on the channel under test `carrier`
         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
+            elif sim_params.nli_params.computed_number_of_channels is not None:
+                nb_ch_computed = sim_params.nli_params.computed_number_of_channels
+                nb_ch = len(spectral_info.channel_number)
+                cut_indices = array([round(i * (nb_ch - 1) / (nb_ch_computed - 1)) for i in range(0, nb_ch_computed)])
+            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):
-        """ Computes the nonlinear interference power evaluated at the fiber input.
+    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
-        xpm_weight = 2 * (16.0 / 27.0) * gamma ** 2
-
+        # Spectral Features
         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
-        baud_rate = spectral_info.baud_rate
+        cut_baud_rate = outer(baud_rate, ones(nch))
+        pump_baud_rate = outer(ones(nch), baud_rate)
 
-        psd = spectral_info.signal / baud_rate
-        ggg = outer(psd, psd**2)
-
-        psi = NliSolver._psi(df, baud_rate, beta2, effective_length, asymptotic_length)
-        g_nli = sum(weight * ggg * psi, 1)
-        nli = spectral_info.baud_rate * g_nli  # Local white noise
-        return nli
+        psi = NliSolver._psi(delta_frequency, baud_rate, beta2, effective_length, asymptotic_length)
+        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
+        return eta
 
     @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 +376,133 @@ 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,
-                                  alpha, beta2, beta3, f_ref_beta, gamma):
-        """ Computes the nonlinear interference power evaluated at the fiber input.
+    def _ggn_spectrally_separated(cut_indices, spectral_info, fiber, srs, spm_weight=SPM_WEIGHT, xpm_weight=XPM_WEIGHT):
+        """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([])
-        f_nli = array([])
-        for cut_carrier in cuts:
-            logger.debug(f'Start computing fiber NLI noise of cut: {cut_carrier}')
-            f_eval = cut_carrier.frequency
-            g_nli_computed = 0
-            g_cut = (cut_carrier.power.signal / cut_carrier.baud_rate)
-            for j, pump_carrier in enumerate(spectral_info.carriers):
-                dn = abs(pump_carrier.channel_number - cut_carrier.channel_number)
-                delta_f = abs(cut_carrier.frequency - pump_carrier.frequency)
-                k_tol = dispersion_tolerance * abs(alpha[j])
+        psi_cut_central_frequency = zeros([cut_indices.size, nch])
+        for i, cut_index in enumerate(cut_indices):
+            logger.debug(f'Start computing fiber NLI noise of cut: {cut_index + 1}')
+            cut_frequency = frequency[cut_index]
+            cut_baud_rate = baud_rate[cut_index]
+            cut_roll_off = roll_off[cut_index]
+            cut_number = cut_index + 1
+            cut_beta2 = beta2[cut_index]
+            cut_base_frequency = frequency - cut_frequency
+            cut_beta_coefficients = polyfit(cut_base_frequency, beta2, 2)
+            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_pump_resolution = min(k_tol, phi_tol) / abs(beta2) / (4 * pi ** 2 * slot_width)
-                if dn == 0:  # SPM
-                    ggg = g_cut ** 3
-                    g_nli_computed += \
-                        spm_weight * ggg * NliSolver._generalized_psi(f_eval, cut_carrier, pump_carrier,
-                                                                      f_cut_resolution, f_pump_resolution,
-                                                                      srs, alpha[j], beta2, beta3, f_ref_beta)
+                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(cut_beta2) / (4 * pi ** 2 * max_slot_width)
+                if cut_index == pump_index:  # SPM
+                    psi_cut_central_frequency[i, pump_index] = \
+                        NliSolver._generalized_psi(cut_frequency, cut_frequency, cut_baud_rate, cut_roll_off,
+                                                   pump_frequency, pump_baud_rate, pump_roll_off, f_cut_resolution,
+                                                   f_pump_resolution, srs, pump_alpha, cut_beta2, cut_beta3,
+                                                   cut_frequency)
                 else:  # XPM
-                    g_pump = (pump_carrier.power.signal / pump_carrier.baud_rate)
-                    ggg = g_cut * g_pump ** 2
-                    frequency_offset_threshold = NliSolver._frequency_offset_threshold(beta2, pump_carrier.baud_rate)
+                    frequency_offset_threshold = NliSolver._frequency_offset_threshold(cut_beta2, pump_baud_rate)
                     if abs(delta_f) <= frequency_offset_threshold:
-                        g_nli_computed += \
-                            xpm_weight * ggg * NliSolver._generalized_psi(f_eval, cut_carrier, pump_carrier,
-                                                                          f_cut_resolution, f_pump_resolution,
-                                                                          srs, alpha[j], beta2, beta3, f_ref_beta)
+                        psi_cut_central_frequency[i, pump_index] = \
+                            NliSolver._generalized_psi(cut_frequency, cut_frequency, cut_baud_rate, cut_roll_off,
+                                                       pump_frequency, pump_baud_rate, pump_roll_off, f_cut_resolution,
+                                                       f_pump_resolution, srs, pump_alpha, cut_beta2, cut_beta3,
+                                                       cut_frequency)
                     else:
-                        g_nli_computed += \
-                            xpm_weight * ggg * NliSolver._fast_generalized_psi(f_eval, cut_carrier, pump_carrier,
-                                                                               f_cut_resolution, srs, alpha[j], beta2,
-                                                                               beta3, f_ref_beta)
-            f_nli = append(f_nli, cut_carrier.frequency)
-            g_nli = append(g_nli, g_nli_computed)
-        g_nli = interp(spectral_info.frequency, f_nli, g_nli)
-        nli = spectral_info.baud_rate * g_nli  # Local white noise
-        return nli
+                        psi_cut_central_frequency[i, pump_index] = \
+                            NliSolver._fast_generalized_psi(cut_frequency, cut_frequency, cut_baud_rate, cut_roll_off,
+                                                            pump_frequency, pump_baud_rate, pump_roll_off,
+                                                            f_cut_resolution, srs, pump_alpha, cut_beta2, cut_beta3,
+                                                            cut_frequency)
+
+        cut_baud_rate = outer(baud_rate[cut_indices], ones(nch))
+        pump_baud_rate = outer(ones(cut_indices.size), baud_rate)
+
+        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,
-                              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)
-
-        f1_array = array([pump_carrier.frequency - (pump_carrier.baud_rate * (1 + pump_carrier.roll_off) / 2),
-                          pump_carrier.frequency + (pump_carrier.baud_rate * (1 + pump_carrier.roll_off) / 2)])
-        f2_array = arange(cut_carrier.frequency,
-                          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))
-        for f1_index, f1 in enumerate(f1_array):
-            delta_beta = 4 * pi ** 2 * (f1 - f_eval) * (f2_array - f_eval) * \
-                (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
-        return generalized_psi
-
-    @staticmethod
-    def _generalized_psi(f_eval, cut_carrier, pump_carrier, f_cut_resolution, f_pump_resolution, srs, alpha, beta2,
-                         beta3, f_ref_beta):
+    def _fast_generalized_psi(f_eval, cut_frequency, cut_baud_rate, cut_roll_off, pump_frequency, pump_baud_rate,
+                              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 = arange(pump_carrier.frequency - (pump_carrier.baud_rate * (1 + pump_carrier.roll_off) / 2),
-                          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_frequency + (pump_baud_rate * (1 + pump_roll_off) / 2)])
+        f2_array = arange(cut_frequency, cut_frequency + (cut_baud_rate * (1 + cut_roll_off) / 2),
+                          f_cut_resolution)  # Only positive f2 is used since integrand_f2 is symmetric
+
+        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) * (
+                        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_baud_rate
+        return generalized_psi
+
+    @staticmethod
+    def _generalized_psi(f_eval, cut_frequency, cut_baud_rate, cut_roll_off, pump_frequency, pump_baud_rate,
+                         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_frequency)
+
+        f1_array = arange(pump_frequency - (pump_baud_rate * (1 + pump_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),
-                          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_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))
-        for f1_index, (f1, psd1_sample) in enumerate(zip(f1_array, psd1)):
-            f3_array = f1 + f2_array - f_eval
-            psd2 = raised_cosine_comb(f2_array, cut_carrier) * (cut_carrier.baud_rate / cut_carrier.power.signal)
-            psd3 = raised_cosine_comb(f3_array, pump_carrier) * (pump_carrier.baud_rate / pump_carrier.power.signal)
-            ggg = psd1_sample * psd2 * psd3
-            delta_beta = 4 * pi**2 * (f1 - f_eval) * (f2_array - f_eval) * \
-                (beta2 + pi * beta3 * (f1 + f2_array - 2 * f_ref_beta))
-            integrand_f2 = ggg * NliSolver._generalized_rho_nli(delta_beta, rho_pump, z, alpha)
-            integrand_f1[f1_index] = trapz(integrand_f2, f2_array)
+        integrand_f1 = zeros(f1_array.size)
+        for i in range(f1_array.size):
+            f3_array = f1_array[i] + f2_array - f_eval
+            rc2 = raised_cosine(f2_array, cut_frequency, cut_baud_rate, cut_roll_off)
+            rc3 = raised_cosine(f3_array, pump_frequency, pump_baud_rate, pump_roll_off)
+            delta_beta = 4 * pi ** 2 * (f1_array[i] - f_eval) * (f2_array - f_eval) * (
+                        beta2 + pi * beta3 * (f1_array[i] + f2_array - 2 * f_ref_beta))
+            integrand_f2 = rc1[i] * rc2 * rc3 * NliSolver._generalized_rho_nli(delta_beta, rho_pump, z, alpha)
+            integrand_f1[i] = trapz(integrand_f2, f2_array)
         generalized_psi = trapz(integrand_f1, f1_array)
         return generalized_psi
 

gnpy/core/utils.py

@@ -9,8 +9,9 @@ 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
+from numpy import pi, cos, sqrt, log10, linspace, zeros, shape, where, logical_and, mean, array
 from scipy import constants
+from copy import deepcopy
 
 from gnpy.core.exceptions import ConfigurationError
 
@@ -106,6 +107,69 @@ def db2lin(value):
     return 10**(value / 10)
 
 
+def watt2dbm(value):
+    """Convert Watt units to dBm
+
+    >>> round(watt2dbm(0.001), 1)
+    0.0
+    >>> round(watt2dbm(0.02), 1)
+    13.0
+    """
+    return lin2db(value * 1e3)
+
+
+def dbm2watt(value):
+    """Convert dBm units to Watt
+
+    >>> round(dbm2watt(0), 4)
+    0.001
+    >>> round(dbm2watt(-3), 4)
+    0.0005
+    >>> round(dbm2watt(13), 4)
+    0.02
+    """
+    return db2lin(value) * 1e-3
+
+
+def psd2powerdbm(psd_mwperghz, baudrate_baud):
+    """computes power in dBm based on baudrate in bauds and psd in mW/GHz
+
+    >>> round(psd2powerdbm(0.031176, 64e9),3)
+    3.0
+    >>> round(psd2powerdbm(0.062352, 32e9),3)
+    3.0
+    >>> round(psd2powerdbm(0.015625, 64e9),3)
+    0.0
+    """
+    return lin2db(baudrate_baud * psd_mwperghz * 1e-9)
+
+
+def power_dbm_to_psd_mw_ghz(power_dbm, baudrate_baud):
+    """computes power spectral density in  mW/GHz based on baudrate in bauds and power in dBm
+
+    >>> power_dbm_to_psd_mw_ghz(0, 64e9)
+    0.015625
+    >>> round(power_dbm_to_psd_mw_ghz(3, 64e9), 6)
+    0.031176
+    >>> round(power_dbm_to_psd_mw_ghz(3, 32e9), 6)
+    0.062352
+    """
+    return db2lin(power_dbm) / (baudrate_baud * 1e-9)
+
+
+def psd_mw_per_ghz(power_watt, baudrate_baud):
+    """computes power spectral density in  mW/GHz based on baudrate in bauds and power in W
+
+    >>> psd_mw_per_ghz(2e-3, 32e9)
+    0.0625
+    >>> psd_mw_per_ghz(1e-3, 64e9)
+    0.015625
+    >>> psd_mw_per_ghz(0.5e-3, 32e9)
+    0.015625
+    """
+    return power_watt * 1e3 / (baudrate_baud * 1e-9)
+
+
 def round2float(number, step):
     """Round a floating point number so that its "resolution" is not bigger than 'step'
 
@@ -149,25 +213,39 @@ wavelength2freq = constants.lambda2nu
 freq2wavelength = constants.nu2lambda
 
 
-def freq2wavelength(value):
-    """ Converts frequency units to wavelength units.
-
-    >>> round(freq2wavelength(191.35e12) * 1e9, 3)
-    1566.723
-    >>> round(freq2wavelength(196.1e12) * 1e9, 3)
-    1528.773
-    """
-    return constants.c / value
-
-
 def snr_sum(snr, bw, snr_added, bw_added=12.5e9):
     snr_added = snr_added - lin2db(bw / bw_added)
     snr = -lin2db(db2lin(-snr) + db2lin(-snr_added))
     return snr
 
 
+def per_label_average(values, labels):
+    """computes the average per defined spectrum band, using labels
+
+    >>> labels = ['A', 'A', 'A', 'A', 'A', 'B', 'B', 'B', 'B', 'B', 'B', 'B', 'B', 'C', 'D', 'D', 'D', 'D']
+    >>> values = [28.51, 28.23, 28.15, 28.17, 28.36, 28.53, 28.64, 28.68, 28.7, 28.71, 28.72, 28.73, 28.74, 28.91, 27.96, 27.85, 27.87, 28.02]
+    >>> per_label_average(values, labels)
+    {'A': 28.28, 'B': 28.68, 'C': 28.91, 'D': 27.92}
+    """
+
+    label_set = sorted(set(labels))
+    summary = {}
+    for label in label_set:
+        vals = [val for val, lab in zip(values, labels) if lab == label]
+        summary[label] = round(mean(vals), 2)
+    return summary
+
+
+def pretty_summary_print(summary):
+    """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()])
+    return text
+
+
 def deltawl2deltaf(delta_wl, wavelength):
-    """ deltawl2deltaf(delta_wl, wavelength):
+    """deltawl2deltaf(delta_wl, wavelength):
     delta_wl is BW in wavelength units
     wavelength is the center wl
     units for delta_wl and wavelength must be same
@@ -185,9 +263,9 @@ def deltawl2deltaf(delta_wl, wavelength):
 
 
 def deltaf2deltawl(delta_f, frequency):
-    """ deltawl2deltaf(delta_f, frequency):
-        converts delta frequency to delta wavelength
-        units for delta_wl and wavelength must be same
+    """convert delta frequency to delta wavelength
+
+    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
@@ -202,8 +280,7 @@ def deltaf2deltawl(delta_f, frequency):
 
 
 def rrc(ffs, baud_rate, alpha):
-    """ rrc(ffs, baud_rate, alpha): computes the root-raised cosine filter
-    function.
+    """compute the root-raised cosine filter function
 
     :param ffs: A numpy array of frequencies
     :param baud_rate: The Baud Rate of the System
@@ -229,7 +306,7 @@ 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}}
@@ -324,3 +401,60 @@ 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]
+
+
+def calculate_absolute_min_or_zero(x: array) -> array:
+    """Calculates the element-wise absolute minimum between the x and zero.
+
+    Parameters:
+    x (array): The first input array.
+
+    Returns:
+    array: The element-wise absolute minimum between x and zero.
+
+    Example:
+    >>> x = array([-1, 2, -3])
+    >>> calculate_absolute_min_or_zero(x)
+    array([1., 0., 3.])
+    """
+    return (abs(x) - x) / 2

gnpy/example-data/default_edfa_config.json

@@ -5,6 +5,8 @@
   "gain_ripple": [
     0.0
   ],
+  "f_min": 191.35e12,
+  "f_max": 196.1e12,
   "dgt": [
     1.0,
     1.017807767853702,

gnpy/example-data/edfa_example_network.json

@@ -1,6 +1,7 @@
 {
   "network_name": "EDFA Example Network - P2P",
-    "elements": [{
+  "elements": [
+    {
       "uid": "Site_A",
       "type": "Transceiver",
       "metadata": {
@@ -61,9 +62,9 @@
         }
       }
     }
-
   ],
-    "connections": [{
+  "connections": [
+    {
       "from_node": "Site_A",
       "to_node": "Span1"
     },
@@ -75,6 +76,5 @@
       "from_node": "Edfa1",
       "to_node": "Site_B"
     }
-
   ]
 }

gnpy/example-data/eqpt_config.json

@@ -1,4 +1,6 @@
-{     "Edfa":[{
+{
+  "Edfa": [
+    {
       "type_variety": "high_detail_model_example",
       "type_def": "advanced_model",
       "gain_flatmax": 25,
@@ -7,7 +9,8 @@
       "advanced_config_from_json": "std_medium_gain_advanced_config.json",
       "out_voa_auto": false,
       "allowed_for_design": false
-            },                  {
+    },
+    {
       "type_variety": "Juniper_BoosterHG",
       "type_def": "advanced_model",
       "gain_flatmax": 25,
@@ -34,7 +37,12 @@
       "gain_flatmax": 27,
       "gain_min": 0,
       "p_max": 22,
-            "nf_coef": [-8.104e-4,-6.221e-2,-5.889e-1,37.62],
+      "nf_coef": [
+        -8.104e-4,
+        -6.221e-2,
+        -5.889e-1,
+        37.62
+      ],
       "allowed_for_design": false
     },
     {
@@ -43,7 +51,12 @@
       "gain_flatmax": 27,
       "gain_min": 0,
       "p_max": 22,
-            "nf_coef": [-5.952e-4,-6.250e-2,-1.071,28.99],
+      "nf_coef": [
+        -5.952e-4,
+        -6.250e-2,
+        -1.071,
+        28.99
+      ],
       "allowed_for_design": false
     },
     {
@@ -60,7 +73,12 @@
       "gain_flatmax": 27,
       "gain_min": 0,
       "p_max": 22,
-            "nf_coef": [-5.952e-4,-6.250e-2,-1.071,28.99],
+      "nf_coef": [
+        -5.952e-4,
+        -6.250e-2,
+        -1.071,
+        28.99
+      ],
       "allowed_for_design": false
     },
     {
@@ -69,7 +87,12 @@
       "gain_flatmax": 27,
       "gain_min": 0,
       "p_max": 22,
-            "nf_coef": [-5.952e-4,-6.250e-2,-1.071,27.99],
+      "nf_coef": [
+        -5.952e-4,
+        -6.250e-2,
+        -1.071,
+        27.99
+      ],
       "allowed_for_design": false
     },
     {
@@ -177,7 +200,8 @@
       "allowed_for_design": false
     }
   ],
-      "Fiber":[{
+  "Fiber": [
+    {
       "type_variety": "SSMF",
       "dispersion": 1.67e-05,
       "effective_area": 83e-12,
@@ -196,16 +220,22 @@
       "pmd_coef": 1.265e-15
     }
   ],
-      "RamanFiber":[{
+  "RamanFiber": [
+    {
       "type_variety": "SSMF",
       "dispersion": 1.67e-05,
       "effective_area": 83e-12,
       "pmd_coef": 1.265e-15
     }
   ],
-      "Span":[{
-            "power_mode":true,
-            "delta_power_range_db": [-2,3,0.5],
+  "Span": [
+    {
+      "power_mode": true,
+      "delta_power_range_db": [
+        -2,
+        3,
+        0.5
+      ],
       "max_fiber_lineic_loss_for_raman": 0.25,
       "target_extended_gain": 2.5,
       "max_length": 150,
@@ -217,37 +247,128 @@
       "con_out": 0
     }
   ],
-      "Roadm":[{
+  "Roadm": [
+    {
       "target_pch_out_db": -20,
       "add_drop_osnr": 38,
       "pmd": 0,
       "pdl": 0,
       "restrictions": {
-                            "preamp_variety_list":[],
-                            "booster_variety_list":[]
+        "preamp_variety_list": [],
+        "booster_variety_list": []
       }
-            }],
-      "SI":[{
+    },
+    {
+      "type_variety": "roadm_type_1",
+      "target_pch_out_db": -18,
+      "add_drop_osnr": 35,
+      "pmd": 0,
+      "pdl": 0,
+      "restrictions": {
+        "preamp_variety_list": [],
+        "booster_variety_list": []
+      },
+      "roadm-path-impairments": []
+    },
+    {
+      "type_variety": "detailed_impairments",
+      "target_pch_out_db": -20,
+      "add_drop_osnr": 38,
+      "pmd": 0,
+      "pdl": 0,
+      "restrictions": {
+        "preamp_variety_list": [],
+        "booster_variety_list": []
+      },
+      "roadm-path-impairments": [
+        {
+          "roadm-path-impairments-id": 0,
+          "roadm-express-path": [
+            {
+              "frequency-range": {
+                "lower-frequency": 191.3e12,
+                "upper-frequency": 196.1e12
+              },
+              "roadm-pmd": 0,
+              "roadm-cd": 0,
+              "roadm-pdl": 0,
+              "roadm-inband-crosstalk": 0,
+              "roadm-maxloss": 16.5
+            }
+          ]
+        },
+        {
+          "roadm-path-impairments-id": 1,
+          "roadm-add-path": [
+            {
+              "frequency-range": {
+                "lower-frequency": 191.3e12,
+                "upper-frequency": 196.1e12
+              },
+              "roadm-pmd": 0,
+              "roadm-cd": 0,
+              "roadm-pdl": 0,
+              "roadm-inband-crosstalk": 0,
+              "roadm-maxloss": 11.5,
+              "roadm-pmax": 2.5,
+              "roadm-osnr": 41,
+              "roadm-noise-figure": 23
+            }
+          ]
+        },
+        {
+          "roadm-path-impairments-id": 2,
+          "roadm-drop-path": [
+            {
+              "frequency-range": {
+                "lower-frequency": 191.3e12,
+                "upper-frequency": 196.1e12
+              },
+              "roadm-pmd": 0,
+              "roadm-cd": 0,
+              "roadm-pdl": 0,
+              "roadm-inband-crosstalk": 0,
+              "roadm-maxloss": 11.5,
+              "roadm-minloss": 7.5,
+              "roadm-typloss": 10,
+              "roadm-pmin": -13.5,
+              "roadm-pmax": -9.5,
+              "roadm-ptyp": -12,
+              "roadm-osnr": 41,
+              "roadm-noise-figure": 15
+            }
+          ]
+        }
+      ]
+    }
+  ],
+  "SI": [
+    {
       "f_min": 191.3e12,
       "baud_rate": 32e9,
-            "f_max":195.1e12,
+      "f_max": 195.1e12,
       "spacing": 50e9,
       "power_dbm": 0,
-            "power_range_db": [0,0,1],
+      "power_range_db": [
+        0,
+        0,
+        1
+      ],
+      "tx_power_dbm": 0,
       "roll_off": 0.15,
       "tx_osnr": 40,
       "sys_margins": 2
-            }],
-      "Transceiver":[
+    }
+  ],
+  "Transceiver": [
     {
       "type_variety": "vendorA_trx-type1",
-            "frequency":{
+      "frequency": {
         "min": 191.35e12,
         "max": 196.1e12
       },
-            "mode":[
+      "mode": [
         {
-
           "format": "mode 1",
           "baud_rate": 32e9,
           "OSNR": 11,
@@ -255,7 +376,7 @@
           "roll_off": 0.15,
           "tx_osnr": 40,
           "min_spacing": 37.5e9,
-                       "cost":1
+          "cost": 1
         },
         {
           "format": "mode 2",
@@ -265,17 +386,17 @@
           "roll_off": 0.15,
           "tx_osnr": 40,
           "min_spacing": 75e9,
-                       "cost":1
+          "cost": 1
         }
       ]
     },
     {
       "type_variety": "Voyager",
-            "frequency":{
+      "frequency": {
         "min": 191.35e12,
         "max": 196.1e12
       },
-            "mode":[
+      "mode": [
         {
           "format": "mode 1",
           "baud_rate": 32e9,
@@ -284,7 +405,7 @@
           "roll_off": 0.15,
           "tx_osnr": 40,
           "min_spacing": 37.5e9,
-                       "cost":1
+          "cost": 1
         },
         {
           "format": "mode 3",
@@ -294,7 +415,7 @@
           "roll_off": 0.15,
           "tx_osnr": 40,
           "min_spacing": 62.5e9,
-                       "cost":1
+          "cost": 1
         },
         {
           "format": "mode 2",
@@ -304,7 +425,7 @@
           "roll_off": 0.15,
           "tx_osnr": 40,
           "min_spacing": 75e9,
-                       "cost":1
+          "cost": 1
         },
         {
           "format": "mode 4",
@@ -314,10 +435,9 @@
           "roll_off": 0.15,
           "tx_osnr": 40,
           "min_spacing": 75e9,
-                       "cost":1
+          "cost": 1
         }
       ]
     }
   ]
-
 }

gnpy/example-data/eqpt_config_openroadm_ver4.json

@@ -6,7 +6,12 @@
       "gain_flatmax": 27,
       "gain_min": 0,
       "p_max": 22,
-            "nf_coef": [-8.104e-4, -6.221e-2, -5.889e-1, 37.62],
+      "nf_coef": [
+        -8.104e-4,
+        -6.221e-2,
+        -5.889e-1,
+        37.62
+      ],
       "pmd": 3e-12,
       "pdl": 0.7,
       "allowed_for_design": true
@@ -17,7 +22,12 @@
       "gain_flatmax": 27,
       "gain_min": 0,
       "p_max": 22,
-            "nf_coef": [-5.952e-4, -6.250e-2, -1.071, 28.99],
+      "nf_coef": [
+        -5.952e-4,
+        -6.250e-2,
+        -1.071,
+        28.99
+      ],
       "pmd": 3e-12,
       "pdl": 0.7,
       "allowed_for_design": true
@@ -74,7 +84,11 @@
   "Span": [
     {
       "power_mode": true,
-            "delta_power_range_db": [0, 0, 0],
+      "delta_power_range_db": [
+        0,
+        0,
+        0
+      ],
       "max_fiber_lineic_loss_for_raman": 0.25,
       "target_extended_gain": 0,
       "max_length": 135,
@@ -93,8 +107,12 @@
       "pmd": 3e-12,
       "pdl": 1.5,
       "restrictions": {
-                "preamp_variety_list": ["openroadm_mw_mw_preamp"],
-                "booster_variety_list": ["openroadm_mw_mw_booster"]
+        "preamp_variety_list": [
+          "openroadm_mw_mw_preamp"
+        ],
+        "booster_variety_list": [
+          "openroadm_mw_mw_booster"
+        ]
       }
     }
   ],
@@ -105,7 +123,11 @@
       "f_max": 196.1e12,
       "spacing": 50e9,
       "power_dbm": 2,
-            "power_range_db": [0, 0, 1],
+      "power_range_db": [
+        0,
+        0,
+        1
+      ],
       "roll_off": 0.15,
       "tx_osnr": 35,
       "sys_margins": 2

gnpy/example-data/eqpt_config_openroadm_ver5.json

@@ -6,7 +6,12 @@
       "gain_flatmax": 27,
       "gain_min": 0,
       "p_max": 22,
-            "nf_coef": [-8.104e-4, -6.221e-2, -5.889e-1, 37.62],
+      "nf_coef": [
+        -8.104e-4,
+        -6.221e-2,
+        -5.889e-1,
+        37.62
+      ],
       "pmd": 3e-12,
       "pdl": 0.7,
       "allowed_for_design": true
@@ -17,7 +22,12 @@
       "gain_flatmax": 27,
       "gain_min": 0,
       "p_max": 22,
-            "nf_coef": [-5.952e-4, -6.250e-2, -1.071, 28.99],
+      "nf_coef": [
+        -5.952e-4,
+        -6.250e-2,
+        -1.071,
+        28.99
+      ],
       "pmd": 3e-12,
       "pdl": 0.7,
       "allowed_for_design": true
@@ -28,7 +38,12 @@
       "gain_flatmax": 27,
       "gain_min": 0,
       "p_max": 22,
-            "nf_coef": [-5.952e-4, -6.250e-2, -1.071, 28.99],
+      "nf_coef": [
+        -5.952e-4,
+        -6.250e-2,
+        -1.071,
+        28.99
+      ],
       "pmd": 0,
       "pdl": 0,
       "allowed_for_design": false
@@ -39,7 +54,12 @@
       "gain_flatmax": 27,
       "gain_min": 0,
       "p_max": 22,
-            "nf_coef": [-5.952e-4, -6.250e-2, -1.071, 27.99],
+      "nf_coef": [
+        -5.952e-4,
+        -6.250e-2,
+        -1.071,
+        27.99
+      ],
       "pmd": 0,
       "pdl": 0,
       "allowed_for_design": false
@@ -86,7 +106,11 @@
   "Span": [
     {
       "power_mode": true,
-            "delta_power_range_db": [0, 0, 0],
+      "delta_power_range_db": [
+        0,
+        0,
+        0
+      ],
       "max_fiber_lineic_loss_for_raman": 0.25,
       "target_extended_gain": 0,
       "max_length": 135,
@@ -105,8 +129,12 @@
       "pmd": 3e-12,
       "pdl": 1.5,
       "restrictions": {
-                "preamp_variety_list": ["openroadm_mw_mw_preamp_worstcase_ver5"],
-                "booster_variety_list": ["openroadm_mw_mw_booster"]
+        "preamp_variety_list": [
+          "openroadm_mw_mw_preamp_worstcase_ver5"
+        ],
+        "booster_variety_list": [
+          "openroadm_mw_mw_booster"
+        ]
       }
     }
   ],
@@ -117,7 +145,11 @@
       "f_max": 196.1e12,
       "spacing": 50e9,
       "power_dbm": 2,
-            "power_range_db": [0, 0, 1],
+      "power_range_db": [
+        0,
+        0,
+        1
+      ],
       "roll_off": 0.15,
       "tx_osnr": 35,
       "sys_margins": 2

gnpy/example-data/initial_spectrum1.json

@@ -0,0 +1,12 @@
+{
+  "spectrum": [
+    {
+      "f_min": 191.35e12,
+      "f_max": 195.1e12,
+      "baud_rate": 32e9,
+      "slot_width": 50e9,
+      "roll_off": 0.15,
+      "tx_osnr": 40
+    }
+  ]
+}

gnpy/example-data/initial_spectrum2.json

@@ -0,0 +1,23 @@
+{
+  "spectrum": [
+    {
+      "f_min": 191.4e12,
+      "f_max": 193.1e12,
+      "baud_rate": 32e9,
+      "slot_width": 50e9,
+      "delta_pdb": 0,
+      "roll_off": 0.15,
+      "tx_osnr": 40,
+      "label": "mode_1"
+    },
+    {
+      "f_min": 193.1625e12,
+      "f_max": 195e12,
+      "baud_rate": 64e9,
+      "slot_width": 75e9,
+      "roll_off": 0.15,
+      "tx_osnr": 40,
+      "label": "mode_2"
+    }
+  ]
+}

gnpy/example-data/sim_params.json

@@ -8,6 +8,12 @@
     "method": "ggn_spectrally_separated",
     "dispersion_tolerance": 1,
     "phase_shift_tolerance": 0.1,
-    "computed_channels": [1, 18, 37, 56, 75]
+    "computed_channels": [
+      1,
+      18,
+      37,
+      56,
+      75
+    ]
   }
 }

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
@@ -14,20 +14,21 @@ import sys
 from math import ceil
 from numpy import linspace, mean
 from pathlib import Path
+
 import gnpy.core.ansi_escapes as ansi_escapes
 from gnpy.core.elements import Transceiver, Fiber, RamanFiber
 from gnpy.core.equipment import trx_mode_params
 import gnpy.core.exceptions as exceptions
-from gnpy.core.network import build_network
+from gnpy.core.network import add_missing_elements_in_network, design_network
 from gnpy.core.parameters import SimParams
-from gnpy.core.utils import db2lin, lin2db, automatic_nch
+from gnpy.core.utils import db2lin, lin2db, automatic_nch, watt2dbm, dbm2watt
 from gnpy.topology.request import (ResultElement, jsontocsv, compute_path_dsjctn, requests_aggregation,
                                    BLOCKING_NOPATH, correct_json_route_list,
                                    deduplicate_disjunctions, compute_path_with_disjunction,
                                    PathRequest, compute_constrained_path, propagate)
 from gnpy.topology.spectrum_assignment import build_oms_list, pth_assign_spectrum
-from gnpy.tools.json_io import load_equipment, load_network, load_json, load_requests, save_network, \
-                               requests_from_json, disjunctions_from_json, save_json
+from gnpy.tools.json_io import (load_equipment, load_network, load_json, load_requests, save_network,
+                                requests_from_json, disjunctions_from_json, save_json, load_initial_spectrum)
 from gnpy.tools.plots import plot_baseline, plot_results
 
 _logger = logging.getLogger(__name__)
@@ -47,7 +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)
@@ -84,7 +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):
@@ -118,6 +119,7 @@ def transmission_main_example(args=None):
     parser.add_argument('-pl', '--plot', action='store_true')
     parser.add_argument('-l', '--list-nodes', action='store_true', help='list all transceiver nodes')
     parser.add_argument('-po', '--power', default=0, help='channel ref power in dBm')
+    parser.add_argument('--spectrum', type=Path, help='user defined mixed rate spectrum JSON file')
     parser.add_argument('source', nargs='?', help='source node')
     parser.add_argument('destination', nargs='?', help='destination node')
 
@@ -191,32 +193,44 @@ def transmission_main_example(args=None):
     params['path_bandwidth'] = 0
     params['effective_freq_slot'] = None
     trx_params = trx_mode_params(equipment)
+    trx_params['power'] = dbm2watt(equipment['SI']['default'].power_dbm)
+    trx_params['tx_power'] = dbm2watt(equipment['SI']['default'].power_dbm)
     if args.power:
-        trx_params['power'] = db2lin(float(args.power)) * 1e-3
+        trx_params['power'] = dbm2watt(float(args.power))
+        trx_params['tx_power'] = dbm2watt(float(args.power))
     params.update(trx_params)
+    initial_spectrum = None
+    params['nb_channel'] = automatic_nch(trx_params['f_min'], trx_params['f_max'], trx_params['spacing'])
+    # use ref_req to hold reference channel used for design and req for the propagation
+    # and req to hold channels to be propagated
+    # apply power sweep on the design and on the channels
+    ref_req = PathRequest(**params)
+    pref_ch_db = watt2dbm(ref_req.power)
+    if args.spectrum:
+        # use the spectrum defined by user for the propagation.
+        # the nb of channel for design remains the one of the reference channel
+        initial_spectrum = load_initial_spectrum(args.spectrum)
+        params['nb_channel'] = len(initial_spectrum)
+        print('User input for spectrum used for propagation instead of SI')
     req = PathRequest(**params)
-
+    p_ch_db = watt2dbm(req.power)
+    req.initial_spectrum = initial_spectrum
+    print(f'There are {req.nb_channel} channels propagating')
     power_mode = equipment['Span']['default'].power_mode
     print('\n'.join([f'Power mode is set to {power_mode}',
-                     f'=> it can be modified in eqpt_config.json - Span']))
-
-    pref_ch_db = lin2db(req.power * 1e3)  # reference channel power / span (SL=20dB)
-    pref_total_db = pref_ch_db + lin2db(req.nb_channel)  # reference total power / span (SL=20dB)
+                     '=> it can be modified in eqpt_config.json - Span']))
+    if not args.no_insert_edfas:
         try:
-        build_network(network, equipment, pref_ch_db, pref_total_db, args.no_insert_edfas)
+            add_missing_elements_in_network(network, equipment)
         except exceptions.NetworkTopologyError as e:
             print(f'{ansi_escapes.red}Invalid network definition:{ansi_escapes.reset} {e}')
             sys.exit(1)
         except exceptions.ConfigurationError as e:
             print(f'{ansi_escapes.red}Configuration error:{ansi_escapes.reset} {e}')
             sys.exit(1)
+
     path = compute_constrained_path(network, req)
-
     spans = [s.params.length for s in path if isinstance(s, RamanFiber) or isinstance(s, Fiber)]
-    print(f'\nThere are {len(spans)} fiber spans over {sum(spans)/1000:.0f} km between {source.uid} '
-          f'and {destination.uid}')
-    print(f'\nNow propagating between {source.uid} and {destination.uid}:')
-
     power_range = [0]
     if power_mode:
         # power cannot be changed in gain mode
@@ -226,11 +240,32 @@ def transmission_main_example(args=None):
             power_range = list(linspace(p_start, p_stop, p_num))
         except TypeError:
             print('invalid power range definition in eqpt_config, should be power_range_db: [lower, upper, step]')
+    # initial network is designed using req.power. that is that any missing information (amp gain or delta_p) is filled
+    # using this req.power, previous to any sweep requested later on.
+    try:
+        design_network(ref_req, network, equipment, set_connector_losses=True, verbose=True)
+    except exceptions.NetworkTopologyError as e:
+        print(f'{ansi_escapes.red}Invalid network definition:{ansi_escapes.reset} {e}')
+        sys.exit(1)
+    except exceptions.ConfigurationError as e:
+        print(f'{ansi_escapes.red}Configuration error:{ansi_escapes.reset} {e}')
+        sys.exit(1)
 
+    print(f'\nThere are {len(spans)} fiber spans over {sum(spans)/1000:.0f} km between {source.uid} '
+          f'and {destination.uid}')
+    print(f'\nNow propagating between {source.uid} and {destination.uid}:')
     for dp_db in power_range:
-        req.power = db2lin(pref_ch_db + dp_db) * 1e-3
+        ref_req.power = dbm2watt(pref_ch_db + dp_db)
+        req.power = dbm2watt(p_ch_db + dp_db)
+        design_network(ref_req, network, equipment, set_connector_losses=False, verbose=False)
+        # if initial spectrum did not contain any power, now we need to use this one.
+        # note the initial power defines a differential wrt req.power so that if req.power is set to 2mW (3dBm)
+        # and initial spectrum was set to 0, this sets a initial per channel delta power to -3dB, so that
+        # whatever the equalization, -3 dB is applied on all channels (ie initial power in initial spectrum pre-empts
+        # "--power" option)
         if power_mode:
-            print(f'\nPropagating with input power = {ansi_escapes.cyan}{lin2db(req.power*1e3):.2f} dBm{ansi_escapes.reset}:')
+            print(f'\nPropagating with input power = {ansi_escapes.cyan}{watt2dbm(req.power):.2f} '
+                  + f'dBm{ansi_escapes.reset}:')
         else:
             print(f'\nPropagating in {ansi_escapes.cyan}gain mode{ansi_escapes.reset}: power cannot be set manually')
         infos = propagate(path, req, equipment)
@@ -264,9 +299,9 @@ def transmission_main_example(args=None):
             ch_freq = final_carrier.frequency * 1e-12
             ch_power = lin2db(final_carrier.power.signal * 1e3)
             print(
-                '{:5}{:26.2f}{:26.2f}{:28.2f}{:28.2f}{:28.2f}' .format(
+                '{:5}{:26.5f}{:26.2f}{:28.2f}{:28.2f}{:28.2f}' .format(
                     final_carrier.channel_number, round(
-                        ch_freq, 2), round(
+                        ch_freq, 5), round(
                         ch_power, 2), round(
                         ch_osnr, 2), round(
                         ch_snr_nl, 2), round(
@@ -308,25 +343,52 @@ 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)
 
     # Build the network once using the default power defined in SI in eqpt config
     # 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))
+    if not args.no_insert_edfas:
         try:
-        build_network(network, equipment, p_db, p_total_db, args.no_insert_edfas)
+            add_missing_elements_in_network(network, equipment)
         except exceptions.NetworkTopologyError as e:
             print(f'{ansi_escapes.red}Invalid network definition:{ansi_escapes.reset} {e}')
             sys.exit(1)
         except exceptions.ConfigurationError as e:
             print(f'{ansi_escapes.red}Configuration error:{ansi_escapes.reset} {e}')
             sys.exit(1)
+
+    params = {
+        'request_id': 'reference',
+        'trx_type': '',
+        'trx_mode': '',
+        'source': None,
+        'destination': None,
+        'bidir': False,
+        'nodes_list': [],
+        'loose_list': [],
+        'format': '',
+        'path_bandwidth': 0,
+        'effective_freq_slot': None,
+        'nb_channel': automatic_nch(equipment['SI']['default'].f_min, equipment['SI']['default'].f_max,
+                                    equipment['SI']['default'].spacing),
+        'power': dbm2watt(equipment['SI']['default'].power_dbm),
+        'tx_power': dbm2watt(equipment['SI']['default'].power_dbm)
+    }
+    trx_params = trx_mode_params(equipment)
+    params.update(trx_params)
+    reference_channel = PathRequest(**params)
+    try:
+        design_network(reference_channel, network, equipment, verbose=True)
+    except exceptions.NetworkTopologyError as e:
+        print(f'{ansi_escapes.red}Invalid network definition:{ansi_escapes.reset} {e}')
+        sys.exit(1)
+    except exceptions.ConfigurationError as e:
+        print(f'{ansi_escapes.red}Configuration error:{ansi_escapes.reset} {e}')
+        sys.exit(1)
+
     if args.save_network is not None:
         save_network(network, args.save_network)
         print(f'{ansi_escapes.blue}Network (after autodesign) saved to {args.save_network}{ansi_escapes.reset}')

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))
 
@@ -118,7 +122,7 @@ class Eqpt(object):
         'east_att_in': 0,
         'east_amp_gain': None,
         'east_amp_dp': None,
-        'east_tilt': 0,
+        'east_tilt_vs_wavelength': 0,
         'east_att_out': None
     }
 
@@ -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(f'Missing _{h0}_ header')
+                raise NetworkTopologyError(msg)
             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')
-        raise NetworkTopologyError('Could not find any header to read')
+        msg = 'CRITICAL ERROR: could not find any header to read _ ABORT'
+        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:
-        links.remove(l)
-        links_by_city[l.from_city].remove(l)
-        links_by_city[l.to_city].remove(l)
-
+    if duplicate_links:
+        msg = 'XLS error: ' \
+              + f'links {_format_items([(d.from_city, d.to_city) for d in duplicate_links])} are duplicate'
+        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 '
-                                   f'referenced from the {ansi_escapes.cyan}Links{ansi_escapes.reset} sheet. '
-                                   f'If unused, remove them from the {ansi_escapes.cyan}Nodes{ansi_escapes.reset} '
-                                   f'sheet:\n'
-                                   + _format_items(unreferenced_nodes))
+        msg = 'XLS error: The following nodes are not ' \
+              + 'referenced from the Links sheet. ' \
+              + 'If unused, remove them from the Nodes sheet:\n' \
+              + _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} '
-                                   f'The {ansi_escapes.cyan}Eqpt{ansi_escapes.reset} sheet refers to nodes that '
-                                   f'are not defined in the {ansi_escapes.cyan}Nodes{ansi_escapes.reset} sheet:\n'
-                                   + _format_items(wrong_eqpt))
+        msg = 'XLS error: ' \
+              + 'The Eqpt sheet refers to nodes that ' \
+              + 'are not defined in the Nodes sheet:\n'\
+              + _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
-            print(f'invalid node type ({nodes_by_city[city].node_type})\
-                  specified in {city}, replaced by ROADM')
+            _logger.warning(f'invalid node type ({nodes_by_city[city].node_type}) '
+                            + f'specified in {city}, replaced by ROADM')
             nodes_by_city[city].node_type = 'ROADM'
             for n in nodes:
                 if n.city == city:
@@ -305,13 +345,13 @@ def create_east_eqpt_element(node):
         eqpt['type_variety'] = f'{node.east_amp_type}'
         eqpt['operational'] = {'gain_target': node.east_amp_gain,
                                'delta_p':     node.east_amp_dp,
-                               'tilt_target': node.east_tilt,
+                               'tilt_target': node.east_tilt_vs_wavelength,
                                'out_voa':     node.east_att_out}
     elif node.east_amp_type.lower() == '':
         eqpt['type'] = 'Edfa'
         eqpt['operational'] = {'gain_target': node.east_amp_gain,
                                'delta_p':     node.east_amp_dp,
-                               'tilt_target': node.east_tilt,
+                               'tilt_target': node.east_tilt_vs_wavelength,
                                'out_voa':     node.east_att_out}
     elif node.east_amp_type.lower() == 'fused':
         # fused edfa variety is a hack to indicate that there should not be
@@ -338,12 +378,12 @@ def create_west_eqpt_element(node):
         eqpt['type_variety'] = f'{node.west_amp_type}'
         eqpt['operational'] = {'gain_target': node.west_amp_gain,
                                'delta_p':     node.west_amp_dp,
-                               'tilt_target': node.west_tilt,
+                               'tilt_target': node.west_tilt_vs_wavelength,
                                'out_voa':     node.west_att_out}
     elif node.west_amp_type.lower() == '':
         eqpt['operational'] = {'gain_target': node.west_amp_gain,
                                'delta_p':     node.west_amp_dp,
-                               'tilt_target': node.west_tilt,
+                               'tilt_target': node.west_tilt_vs_wavelength,
                                'out_voa':     node.west_att_out}
     elif node.west_amp_type.lower() == 'fused':
         eqpt['type'] = 'Fused'
@@ -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} '
-                                   f'The {ansi_escapes.cyan}Links{ansi_escapes.reset} sheet references nodes that '
-                                   f'are not defined in the {ansi_escapes.cyan}Nodes{ansi_escapes.reset} sheet:\n'
-                                   + _format_items(f'{item[0]} -> {item[1]}' for item in bad_links))
+        msg = 'XLS error: ' \
+              + 'The Links sheet references nodes that ' \
+              + 'are not defined in the Nodes sheet:\n' \
+              + _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

@@ -1,24 +1,29 @@
 #!/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
 from pathlib import Path
 import json
 from collections import namedtuple
-from gnpy.core import ansi_escapes, elements
+from numpy import arange
+
+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.utils import automatic_nch, automatic_fmax, merge_amplifier_restrictions
+from gnpy.core.info import Carrier
+from gnpy.core.utils import automatic_nch, automatic_fmax, merge_amplifier_restrictions, dbm2watt
+from gnpy.core.parameters import DEFAULT_RAMAN_COEFFICIENT, EdfaParams
 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
 
@@ -46,11 +51,11 @@ class _JsonThing:
         clean_kwargs = {k: v for k, v in kwargs.items() if v != ''}
         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 +
-                      f'\n WARNING missing {k} attribute in eqpt_config.json[{name}]' +
-                      f'\n default value is {k} = {v}' +
-                      ansi_escapes.reset)
+            if k not in clean_kwargs and name != 'Amp' and v is not None and v != []:
+                # do not show this warning if the default value is None
+                msg = f'\n\tWARNING missing {k} attribute in eqpt_config.json[{name}]' \
+                    + f'\n\tdefault value is {k} = {v}\n'
+                _logger.warning(msg)
 
 
 class SI(_JsonThing):
@@ -63,7 +68,8 @@ class SI(_JsonThing):
         "power_range_db": [0, 0, 0.5],
         "roll_off": 0.15,
         "tx_osnr": 45,
-        "sys_margins": 0
+        "sys_margins": 0,
+        "tx_power_dbm": None  # optional value in SI
     }
 
     def __init__(self, **kwargs):
@@ -91,17 +97,33 @@ class Span(_JsonThing):
 
 class Roadm(_JsonThing):
     default_values = {
-        'target_pch_out_db': -17,
+        'type_variety': 'default',
         'add_drop_osnr': 100,
         'pmd': 0,
         'pdl': 0,
         'restrictions': {
             'preamp_variety_list': [],
             'booster_variety_list': []
-        }
+        },
+        'roadm-path-impairments': []
     }
 
     def __init__(self, **kwargs):
+        # If equalization is not defined in equipment, then raise an error.
+        # Only one type of equalization must be defined.
+        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:
+            msg = 'Only one equalization type should be set in ROADM, found: ' \
+                  + ', '.join(eq for eq in allowed_equalisations if eq in kwargs)
+            raise EquipmentConfigError(msg)
+        if not any(requested_eq_mask):
+            msg = 'No equalization type set in ROADM'
+            raise EquipmentConfigError(msg)
+        for key in allowed_equalisations:
+            if key in kwargs:
+                setattr(self, key, kwargs[key])
+                break
         self.update_attr(self.default_values, kwargs, 'Roadm')
 
 
@@ -117,6 +139,7 @@ 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'):
@@ -146,9 +169,14 @@ class Fiber(_JsonThing):
 
     def __init__(self, **kwargs):
         self.update_attr(self.default_values, kwargs, self.__class__.__name__)
-        for optional in ['gamma', 'raman_efficiency']:
-            if optional in kwargs:
-                setattr(self, optional, kwargs[optional])
+        if 'gamma' in kwargs:
+            setattr(self, 'gamma', kwargs['gamma'])
+        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):
@@ -156,26 +184,7 @@ class RamanFiber(Fiber):
 
 
 class Amp(_JsonThing):
-    default_values = {
-        'f_min': 191.35e12,
-        'f_max': 196.1e12,
-        'type_variety': '',
-        'type_def': '',
-        'gain_flatmax': None,
-        'gain_min': None,
-        'p_max': None,
-        'nf_model': None,
-        'dual_stage_model': None,
-        'nf_fit_coeff': None,
-        'nf_ripple': None,
-        'dgt': None,
-        'gain_ripple': None,
-        'out_voa_auto': False,
-        'allowed_for_design': False,
-        'raman': False,
-        'pmd': 0,
-        'pdl': 0
-    }
+    default_values = EdfaParams.default_values
 
     def __init__(self, **kwargs):
         self.update_attr(self.default_values, kwargs, 'Amp')
@@ -193,7 +202,8 @@ 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]
@@ -208,7 +218,8 @@ 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:
@@ -230,7 +241,8 @@ 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')
@@ -249,11 +261,93 @@ def _automatic_spacing(baud_rate):
     return min((s[1] for s in spacing_list if s[0] > baud_rate), default=baud_rate * 1.2)
 
 
+def _spectrum_from_json(json_data):
+    """JSON_data is a list of spectrum partitions each with
+    {f_min, f_max, baud_rate, roll_off, delta_pdb, slot_width, tx_osnr, label}
+    Creates the per freq Carrier's dict.
+    f_min, f_max, baud_rate, slot_width and roll_off are mandatory
+    label, tx_osnr and delta_pdb are created if not present
+    label should be different for each partition
+    >>> json_data = {'spectrum': \
+        [{'f_min': 193.2e12, 'f_max': 193.4e12, 'slot_width': 50e9, 'baud_rate': 32e9, 'roll_off': 0.15, \
+            'delta_pdb': 1, 'tx_osnr': 45, 'tx_power_dbm': -7},\
+        {'f_min': 193.4625e12, 'f_max': 193.9875e12, 'slot_width': 75e9, 'baud_rate': 64e9, 'roll_off': 0.15},\
+        {'f_min': 194.075e12, 'f_max': 194.075e12, 'slot_width': 100e9, 'baud_rate': 90e9, 'roll_off': 0.15},\
+        {'f_min': 194.2e12, 'f_max': 194.35e12, 'slot_width': 50e9, 'baud_rate': 32e9, 'roll_off': 0.15}]}
+    >>> spectrum = _spectrum_from_json(json_data['spectrum'])
+    >>> for k, v in spectrum.items():
+    ...     print(f'{k}: {v}')
+    ...
+    193200000000000.0: Carrier(delta_pdb=1, baud_rate=32000000000.0, slot_width=50000000000.0, roll_off=0.15, tx_osnr=45, tx_power=0.00019952623149688798, label='0-32.00G')
+    193250000000000.0: Carrier(delta_pdb=1, baud_rate=32000000000.0, slot_width=50000000000.0, roll_off=0.15, tx_osnr=45, tx_power=0.00019952623149688798, label='0-32.00G')
+    193300000000000.0: Carrier(delta_pdb=1, baud_rate=32000000000.0, slot_width=50000000000.0, roll_off=0.15, tx_osnr=45, tx_power=0.00019952623149688798, label='0-32.00G')
+    193350000000000.0: Carrier(delta_pdb=1, baud_rate=32000000000.0, slot_width=50000000000.0, roll_off=0.15, tx_osnr=45, tx_power=0.00019952623149688798, label='0-32.00G')
+    193400000000000.0: Carrier(delta_pdb=1, baud_rate=32000000000.0, slot_width=50000000000.0, roll_off=0.15, tx_osnr=45, tx_power=0.00019952623149688798, label='0-32.00G')
+    193462500000000.0: Carrier(delta_pdb=0, baud_rate=64000000000.0, slot_width=75000000000.0, roll_off=0.15, tx_osnr=40, tx_power=0.001, label='1-64.00G')
+    193537500000000.0: Carrier(delta_pdb=0, baud_rate=64000000000.0, slot_width=75000000000.0, roll_off=0.15, tx_osnr=40, tx_power=0.001, label='1-64.00G')
+    193612500000000.0: Carrier(delta_pdb=0, baud_rate=64000000000.0, slot_width=75000000000.0, roll_off=0.15, tx_osnr=40, tx_power=0.001, label='1-64.00G')
+    193687500000000.0: Carrier(delta_pdb=0, baud_rate=64000000000.0, slot_width=75000000000.0, roll_off=0.15, tx_osnr=40, tx_power=0.001, label='1-64.00G')
+    193762500000000.0: Carrier(delta_pdb=0, baud_rate=64000000000.0, slot_width=75000000000.0, roll_off=0.15, tx_osnr=40, tx_power=0.001, label='1-64.00G')
+    193837500000000.0: Carrier(delta_pdb=0, baud_rate=64000000000.0, slot_width=75000000000.0, roll_off=0.15, tx_osnr=40, tx_power=0.001, label='1-64.00G')
+    193912500000000.0: Carrier(delta_pdb=0, baud_rate=64000000000.0, slot_width=75000000000.0, roll_off=0.15, tx_osnr=40, tx_power=0.001, label='1-64.00G')
+    193987500000000.0: Carrier(delta_pdb=0, baud_rate=64000000000.0, slot_width=75000000000.0, roll_off=0.15, tx_osnr=40, tx_power=0.001, label='1-64.00G')
+    194075000000000.0: Carrier(delta_pdb=0, baud_rate=90000000000.0, slot_width=100000000000.0, roll_off=0.15, tx_osnr=40, tx_power=0.001, label='2-90.00G')
+    194200000000000.0: Carrier(delta_pdb=0, baud_rate=32000000000.0, slot_width=50000000000.0, roll_off=0.15, tx_osnr=40, tx_power=0.001, label='3-32.00G')
+    194250000000000.0: Carrier(delta_pdb=0, baud_rate=32000000000.0, slot_width=50000000000.0, roll_off=0.15, tx_osnr=40, tx_power=0.001, label='3-32.00G')
+    194300000000000.0: Carrier(delta_pdb=0, baud_rate=32000000000.0, slot_width=50000000000.0, roll_off=0.15, tx_osnr=40, tx_power=0.001, label='3-32.00G')
+    194350000000000.0: Carrier(delta_pdb=0, baud_rate=32000000000.0, slot_width=50000000000.0, roll_off=0.15, tx_osnr=40, tx_power=0.001, label='3-32.00G')
+    """
+    spectrum = {}
+    json_data = sorted(json_data, key=lambda x: x['f_min'])
+    # min freq of occupation is f_min - slot_width/2 (numbering starts at 0)
+    previous_part_max_freq = 0.0
+    for index, part in enumerate(json_data):
+        # default delta_pdb is 0 dB
+        if 'delta_pdb' not in part:
+            part['delta_pdb'] = 0
+        # add a label to the partition for the printings
+        if 'label' not in part:
+            part['label'] = f'{index}-{part["baud_rate"] * 1e-9 :.2f}G'
+        # default tx_osnr is set to 40 dB
+        if 'tx_osnr' not in part:
+            part['tx_osnr'] = 40
+        # default tx_power_dbm is set to 0 dBn
+        if 'tx_power_dbm' not in part:
+            part['tx_power_dbm'] = 0
+        # starting freq is exactly f_min to be consistent with utils.automatic_nch
+        # first partition min occupation is f_min - slot_width / 2 (central_frequency is f_min)
+        # supposes that carriers are centered on frequency
+        if previous_part_max_freq > (part['f_min'] - part['slot_width'] / 2):
+            # check that previous part last channel does not overlap on next part first channel
+            # max center of the part should be below part['f_max'] and aligned on the slot_width
+            msg = 'Not a valid initial spectrum definition:\nprevious spectrum last carrier max occupation ' +\
+                f'{previous_part_max_freq * 1e-12 :.5f}GHz ' +\
+                'overlaps on next spectrum first carrier occupation ' +\
+                f'{(part["f_min"] - part["slot_width"] / 2) * 1e-12 :.5f}GHz'
+            raise ValueError(msg)
+
+        max_range = ((part['f_max'] - part['f_min']) // part['slot_width'] + 1) * part['slot_width']
+        for current_freq in arange(part['f_min'],
+                                   part['f_min'] + max_range,
+                                   part['slot_width']):
+            spectrum[current_freq] = Carrier(delta_pdb=part['delta_pdb'], baud_rate=part['baud_rate'],
+                                             slot_width=part['slot_width'], roll_off=part['roll_off'],
+                                             tx_osnr=part['tx_osnr'], tx_power=dbm2watt(part['tx_power_dbm']),
+                                             label=part['label'])
+        previous_part_max_freq = current_freq + part['slot_width'] / 2
+    return spectrum
+
+
 def load_equipment(filename):
     json_data = load_json(filename)
     return _equipment_from_json(json_data, filename)
 
 
+def load_initial_spectrum(filename):
+    json_data = load_json(filename)
+    return _spectrum_from_json(json_data['spectrum'])
+
+
 def _update_dual_stage(equipment):
     edfa_dict = equipment['Edfa']
     for edfa in edfa_dict.values():
@@ -274,14 +368,14 @@ def _update_dual_stage(equipment):
 
 
 def _roadm_restrictions_sanity_check(equipment):
-    """ verifies that booster and preamp restrictions specified in roadm equipment are listed
-    in the edfa.
-    """
-    restrictions = equipment['Roadm']['default'].restrictions['booster_variety_list'] + \
-        equipment['Roadm']['default'].restrictions['preamp_variety_list']
+    """verifies that booster and preamp restrictions specified in roadm equipment are listed in the edfa."""
+    for roadm_type, roadm_eqpt in equipment['Roadm'].items():
+        restrictions = roadm_eqpt.restrictions['booster_variety_list'] + \
+            roadm_eqpt.restrictions['preamp_variety_list']
         for amp_name in restrictions:
             if amp_name not in equipment['Edfa']:
-            raise EquipmentConfigError(f'ROADM restriction {amp_name} does not refer to a defined EDFA name')
+                raise EquipmentConfigError(f'ROADM {roadm_type} restriction {amp_name} does not refer to a '
+                                           + 'defined EDFA name')
 
 
 def _check_fiber_vs_raman_fiber(equipment):
@@ -322,6 +416,9 @@ def _equipment_from_json(json_data, filename):
             elif key == 'Roadm':
                 equipment[key][subkey] = Roadm(**entry)
             elif key == 'SI':
+                # use power_dbm value for tx_power_dbm if the key is not in 'SI'
+                # if 'tx_power_dbm' not in entry.keys():
+                #     entry['tx_power_dbm'] = entry['power_dbm']
                 equipment[key][subkey] = SI(**entry)
             elif key == 'Transceiver':
                 equipment[key][subkey] = Transceiver(**entry)
@@ -346,11 +443,11 @@ 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)
 
 
@@ -384,14 +481,28 @@ def network_from_json(json_data, equipment):
             # well, there's no variety for the 'Fused' node type
             pass
         elif variety in equipment[typ]:
-            extra_params = equipment[typ][variety]
+            extra_params = equipment[typ][variety].__dict__
             temp = el_config.setdefault('params', {})
-            temp = merge_amplifier_restrictions(temp, extra_params.__dict__)
+            if typ == 'Roadm':
+                # if equalization is defined, remove default equalization from the extra_params
+                # If equalisation is not defined in the element config, then use the default one from 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:
+                    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', 'Roadm']):
             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)
 
@@ -406,7 +517,8 @@ 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
 
@@ -437,15 +549,13 @@ 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}')
-            exit(1)
+            raise ServiceError(f'Service error: {this_e}')
     else:
         return load_json(filename)
 
@@ -457,33 +567,36 @@ def requests_from_json(json_data, equipment):
     for req in json_data['path-request']:
         # init all params from request
         params = {}
-        params['request_id'] = req['request-id']
+        params['request_id'] = f'{req["request-id"]}'
         params['source'] = req['source']
         params['bidir'] = req['bidirectional']
         params['destination'] = req['destination']
         params['trx_type'] = req['path-constraints']['te-bandwidth']['trx_type']
-        params['trx_mode'] = req['path-constraints']['te-bandwidth']['trx_mode']
+        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']
         try:
-            nd_list = req['explicit-route-objects']['route-object-include-exclude']
+            nd_list = sorted(req['explicit-route-objects']['route-object-include-exclude'], key=lambda x: x['index'])
         except KeyError:
             nd_list = []
         params['nodes_list'] = [n['num-unnum-hop']['node-id'] for n in nd_list]
         params['loose_list'] = [n['num-unnum-hop']['hop-type'] for n in nd_list]
         # 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
-        trx_params = trx_mode_params(equipment, params['trx_type'], params['trx_mode'], True)
-        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:
-            if req['path-constraints']['te-bandwidth']['output-power']:
-                params['power'] = req['path-constraints']['te-bandwidth']['output-power']
-        except KeyError:
-            pass
+            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)
+        params['power'] = req['path-constraints']['te-bandwidth'].get('output-power')
+        # params must not be None, but user can set to None: catch this case
+        if params['power'] is None:
+            params['power'] = dbm2watt(equipment['SI']['default'].power_dbm)
+
         # same process for nb-channel
         f_min = params['f_min']
         f_max_from_si = params['f_max']
@@ -497,11 +610,20 @@ 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:
             pass
+        params['tx_power'] = req['path-constraints']['te-bandwidth'].get('tx_power')
+        default_tx_power_dbm = equipment['SI']['default'].tx_power_dbm
+        if params['tx_power'] is None:
+            # use request's input power in span instead
+            params['tx_power'] = params['power']
+            if default_tx_power_dbm is not None:
+                # use default tx power
+                params['tx_power'] = dbm2watt(default_tx_power_dbm)
         _check_one_request(params, f_max_from_si)
         requests_list.append(PathRequest(**params))
     return requests_list
@@ -511,43 +633,65 @@ 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
-            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.
-            max recommanded nb of channels is {max_recommanded_nb_channels}.'''
-            _logger.critical(msg)
+            msg = f'Requested channel number {params["nb_channel"]}, baud rate {params["baud_rate"] * 1e-9} GHz' \
+                  + f' and requested spacing {params["spacing"]*1e-9}GHz is not consistent with frequency range' \
+                  + f' {f_min*1e-12} THz, {f_max_from_si*1e-12} THz.' \
+                  + f' Max recommanded nb of channels is {max_recommanded_nb_channels}.'
             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 \
-            and params['effective_freq_slot']['M'] is not None:
-        _, requested_m = compute_spectrum_slot_vs_bandwidth(params['path_bandwidth'],
+    if params['trx_mode'] is not None and params['effective_freq_slot'] is not None:
+        required_nb_of_channels, 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.
-
-        if requested_m > params['effective_freq_slot']['M']:
-            msg = f'requested M {params["effective_freq_slot"]["M"]} number of slots for request' +\
-                  f'{params["request_id"]} should be greater than {requested_m} to support request' +\
-                  f'{params["path_bandwidth"] * 1e-9} Gbit/s with {params["trx_type"]} {params["trx_mode"]}'
+        nb_of_channels = 0
+        # order slots
+        slots = sorted(params['effective_freq_slot'], key=lambda x: float('inf') if x['N'] is None else x['N'])
+        for slot in slots:
+            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):
-    """ reads the disjunction requests from the json dict and create the list
+    """reads the disjunction requests from the json dict and create the list
     of requested disjunctions for this set of requests
     """
     disjunctions_list = []
@@ -576,3 +720,42 @@ def convert_service_sheet(
     data = read_service_sheet(input_filename, eqpt, network, network_filename, bidir)
     save_json(data, output_filename)
     return data
+
+
+def find_equalisation(params, equalization_types):
+    """Find the equalization(s) defined in params. params can be a dict or a Roadm object.
+
+    >>> roadm = {'add_drop_osnr': 100, 'pmd': 1, 'pdl': 0.5,
+    ...     'restrictions': {'preamp_variety_list': ['a'], 'booster_variety_list': ['b']},
+    ...     'target_psd_out_mWperGHz': 4e-4}
+    >>> equalization_types = ['target_pch_out_db', 'target_psd_out_mWperGHz']
+    >>> find_equalisation(roadm, equalization_types)
+    {'target_pch_out_db': False, 'target_psd_out_mWperGHz': True}
+    """
+    equalization = {e: False for e in equalization_types}
+    for equ in equalization_types:
+        if equ in params:
+            equalization[equ] = True
+    return equalization
+
+
+def merge_equalization(params, extra_params):
+    """params contains ROADM element config and extra_params default values from equipment library.
+    If equalization is not defined in ROADM element use the one defined in equipment library.
+    Only one type of equalization must be defined: power (target_pch_out_db) or PSD (target_psd_out_mWperGHz)
+    or PSW (target_out_mWperSlotWidth)
+    params and extra_params are dict
+    """
+    equalization_types = ['target_pch_out_db', 'target_psd_out_mWperGHz', 'target_out_mWperSlotWidth']
+    roadm_equalizations = find_equalisation(params, equalization_types)
+    if sum(roadm_equalizations.values()) > 1:
+        # if ROADM config contains more than one equalization type then this is an error
+        return None
+    if sum(roadm_equalizations.values()) == 1:
+        # if ROADM config contains one equalization
+        # don't use the default equalization
+        return {k: v for k, v in extra_params.items() if k not in equalization_types}
+    if sum(roadm_equalizations.values()) == 0:
+        # If ROADM config doesn't contain any equalization type, keep the default one
+        return extra_params
+    return None

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.'
-                    # print(msg)
-                    logger.critical(msg)
+                    msg = f'Request Id: {self.request_id} - could not find tsp : \'{Request.trx_type}\' ' \
+                        + f'with mode: \'{Requestmode}\' in eqpt library \nComputation stopped.'
                     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.'
-            # print(msg)
-            logger.critical(msg)
+            msg = f'Request Id: {self.request_id} - could not find tsp : \'{Request.trx_type}\' ' \
+                + f'with mode: \'{Request.mode}\' in eqpt library \nComputation stopped.'
             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' +\
-                f' transponder source : {pathreq.source}.{ansi_escapes.reset}'
-            logger.critical(msg)
+            msg = f'Request: {pathreq.request_id}: could not find' +\
+                f' transponder source : {pathreq.source}.'
             raise ServiceError(msg)
 
         if pathreq.destination not in transponders:
-            msg = f'{ansi_escapes.red}Request: {pathreq.request_id}: could not find' +\
-                f' transponder destination: {pathreq.destination}.{ansi_escapes.reset}'
-            logger.critical(msg)
+            msg = f'Request: {pathreq.request_id}: could not find' +\
+                f' transponder destination: {pathreq.destination}.'
             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:' +\
-                                f'\n\t\'{n_id}\', replaced with \'{new_n}\'{ansi_escapes.reset}'
-                            logger.info(msg)
+                            msg = f'Request {pathreq.request_id}: Invalid route node specified:' \
+                                + f'\n\t\'{n_id}\', replaced with \'{new_n}\''
+                            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' +\
-                            f' not decide on direction, skipped!.\nPlease add a valid' +\
-                            f' direction in constraints (next neighbour node){ansi_escapes.reset}'
-                        print(msg)
-                        logger.info(msg)
+                        msg = f'Request {pathreq.request_id}: Invalid route specified {n_id}: could' \
+                            + ' not decide on direction, skipped!.\nPlease add a valid' \
+                            + ' direction in constraints (next neighbour node)'
+                        logger.warning(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}\'' +\
-                            f', could not use it as constraint, skipped!{ansi_escapes.reset}'
-                        print(msg)
-                        logger.info(msg)
+                        msg = f'Request {pathreq.request_id}: Invalid node specified:\n\t\'{n_id}\'' \
+                            + ', could not use it as constraint, skipped!'
+                        logger.warning(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' +\
-                            f' topology. Strict constraint can not be applied.{ansi_escapes.reset}'
-                        logger.critical(msg)
+                        msg = f'Request {pathreq.request_id}: Could not find node:\n\t\'{n_id}\' in network' \
+                            + ' topology. Strict constraint can not be applied.'
                         raise ServiceError(msg)
             else:
                 if temp.loose_list[i] == 'LOOSE':
-                    print(f'{ansi_escapes.yellow}Invalid route node specified:\n\t\'{n_id}\'' +
-                          f' type is not supported as constraint with xls network input,' +
-                          f' skipped!{ansi_escapes.reset}')
+                    logger.warning(f'Request {pathreq.request_id}: Invalid route node specified:\n\t\'{n_id}\''
+                                   + ' type is not supported as constraint with xls network input, skipped!')
                     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}\'' +\
-                        f' type is not supported as constraint with xls network input,' +\
-                        f', Strict constraint can not be applied.{ansi_escapes.reset}'
-                    logger.critical(msg)
+                    msg = f'Invalid route node specified \n\t\'{n_id}\'' \
+                        + ' type is not supported as constraint with xls network input,' \
+                        + ', Strict constraint can not be applied.'
                     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

@@ -23,9 +23,9 @@ from networkx.utils import pairwise
 from numpy import mean, argmin
 from gnpy.core.elements import Transceiver, Roadm
 from gnpy.core.utils import lin2db
-from gnpy.core.info import create_input_spectral_information
+from gnpy.core.info import create_input_spectral_information, carriers_to_spectral_information
+from gnpy.core import network as network_module
 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 +35,14 @@ 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, tx_power')
 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
@@ -66,12 +65,15 @@ class PathRequest:
         self.bit_rate = params.bit_rate
         self.roll_off = params.roll_off
         self.tx_osnr = params.tx_osnr
+        self.tx_power = params.tx_power
         self.min_spacing = params.min_spacing
         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.M = params.effective_freq_slot['M']
+            self.N = [s['N'] for s in params.effective_freq_slot]
+            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}',
@@ -94,7 +96,8 @@ class PathRequest:
                             f'baud_rate:\t{temp} Gbaud',
                             f'bit_rate:\t{temp2} Gb/s',
                             f'spacing:\t{self.spacing * 1e-9} GHz',
-                            f'power:  \t{round(lin2db(self.power)+30, 2)} dBm',
+                            f'power:  \t{round(lin2db(self.power) + 30, 2)} dBm',
+                            f'tx_power_dbm:  \t{round(lin2db(self.tx_power) + 30, 2)} dBm',
                             f'nb channels: \t{self.nb_channel}',
                             f'path_bandwidth: \t{round(self.path_bandwidth * 1e-9, 2)} Gbit/s',
                             f'nodes-list:\t{self.nodes_list}',
@@ -103,8 +106,7 @@ 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)
@@ -149,8 +151,7 @@ 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:
@@ -174,10 +175,10 @@ class ResultElement:
                 temp = {
                     'path-route-object': {
                         'index': index,
-                        "label-hop": {
-                            "N": self.path_request.N,
-                            "M": self.path_request.M
-                        },
+                        "label-hop": [{
+                            "N": n,
+                            "M": m
+                        } for n, m in zip(self.path_request.N, self.path_request.M)],
                     }
                 }
                 pro_list.append(temp)
@@ -206,11 +207,9 @@ 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',
@@ -252,8 +251,7 @@ 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 = {
@@ -291,7 +289,6 @@ 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)]
@@ -306,10 +303,9 @@ 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'
-               f' {source.uid} to node: {destination.uid} in network topology{ansi_escapes.reset}')
+        msg = (f'Request {req.request_id} could not find a path from'
+               f' {source.uid} to node: {destination.uid} in network topology')
         LOGGER.critical(msg)
-        print(msg)
         req.blocking_reason = 'NO_PATH'
         total_path = []
     except StopIteration:
@@ -318,82 +314,92 @@ 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 '
-              f'{[el.uid for el in nodes_list[:-1]]} in network topology{ansi_escapes.reset}')
+        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')
 
         if 'STRICT' not in req.loose_list[:-1]:
-            msg = (f'{ansi_escapes.yellow}Request {req.request_id} could not find a path with user_'
-                   f'include node constraints{ansi_escapes.reset}')
-            LOGGER.info(msg)
-            print(f'constraint ignored')
+            msg = (f'Request {req.request_id} could not find a path with user_'
+                   f'include node constraints. Constraint ignored')
+            LOGGER.warning(msg)
             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 '
-                   f'include node constraints.\nNo path computed{ansi_escapes.reset}')
+            msg = (f'Request {req.request_id} could not find a path with user '
+                   f'include node constraints.\nNo path computed')
             LOGGER.critical(msg)
-            print(msg)
             req.blocking_reason = 'NO_PATH_WITH_CONSTRAINT'
             total_path = []
-
     return total_path
 
 
 def propagate(path, req, equipment):
+    """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)
+    else:
         si = create_input_spectral_information(
-        req.f_min, req.f_max, req.roll_off, req.baud_rate,
-        req.power, req.spacing)
+            f_min=req.f_min, f_max=req.f_max, roll_off=req.roll_off, baud_rate=req.baud_rate,
+            spacing=req.spacing, tx_osnr=req.tx_osnr, tx_power=req.tx_power, delta_pdb=req.offset_db)
+    roadm_osnr = []
     for i, el in enumerate(path):
         if isinstance(el, Roadm):
-            si = el(si, degree=path[i+1].uid)
+            si = el(si, degree=path[i + 1].uid, from_degree=path[i - 1].uid)
+            roadm_osnr.append(el.get_roadm_path(from_degree=path[i - 1].uid, to_degree=path[i + 1].uid).impairment.osnr)
         else:
             si = el(si)
-    path[0].update_snr(req.tx_osnr)
+    path[0].update_snr(si.tx_osnr)
     path[0].calc_penalties(req.penalties)
-    if any(isinstance(el, Roadm) for el in path):
-        path[-1].update_snr(req.tx_osnr, equipment['Roadm']['default'].add_drop_osnr)
-    else:
-        path[-1].update_snr(req.tx_osnr)
+    roadm_osnr.append(si.tx_osnr)
+    path[-1].update_snr(*roadm_osnr)
     path[-1].calc_penalties(req.penalties)
     return si
 
 
 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
-    baudrate_to_explore = list(set([this_mode['baud_rate']
+    # step 1: create an ordered list of modes based on baudrate and power offset
+    # 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)
-    if baudrate_to_explore:
+    baudrate_offset_to_explore = sorted(baudrate_offset_to_explore, reverse=True)
+    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
-                                float(this_mode['min_spacing']) <= req.spacing]
+                                if this_mode['baud_rate'] == this_br
+                                and float(this_mode['min_spacing']) <= req.spacing]
             modes_to_explore = sorted(modes_to_explore,
-                                      key=lambda x: x['bit_rate'], reverse=True)
-            # print(modes_to_explore)
+                                      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 of is not included: for now use SI one
+            # 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
-            spc_info = create_input_spectral_information(req.f_min, req.f_max,
-                                                         equipment['SI']['default'].roll_off,
-                                                         this_br, req.power, req.spacing)
+            if req.initial_spectrum is not None:
+                # this case is not yet handled: spectrum can not be defined for the path-request-run function
+                # and this function is only called in this case. so coming here should not be considered yet.
+                msg = f'Request: {req.request_id} contains a unexpected initial_spectrum.'
+                raise ServiceError(msg)
+            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, spacing=req.spacing,
+                                                         delta_pdb=this_offset, tx_osnr=req.tx_osnr,
+                                                         tx_power=req.tx_power)
+            roadm_osnr = []
             for i, el in enumerate(path):
                 if isinstance(el, Roadm):
-                    spc_info = el(spc_info, degree=path[i+1].uid)
+                    spc_info = el(spc_info, degree=path[i + 1].uid, from_degree=path[i - 1].uid)
+                    roadm_osnr.append(el.get_roadm_path(from_degree=path[i - 1].uid, to_degree=path[i + 1].uid).impairment.osnr)
                 else:
                     spc_info = el(spc_info)
             for this_mode in modes_to_explore:
                 if path[-1].snr is not None:
                     path[0].update_snr(this_mode['tx_osnr'])
                     path[0].calc_penalties(this_mode['penalties'])
-                    if any(isinstance(el, Roadm) for el in path):
-                        path[-1].update_snr(this_mode['tx_osnr'], equipment['Roadm']['default'].add_drop_osnr)
-                    else:
-                        path[-1].update_snr(this_mode['tx_osnr'])
+                    roadm_osnr.append(this_mode['tx_osnr'])
+                    path[-1].update_snr(*roadm_osnr)
+                    # remove the tx_osnr from roadm_osnr list for the next iteration
+                    del roadm_osnr[-1]
                     path[-1].calc_penalties(this_mode['penalties'])
                     if round(min(path[-1].snr_01nm - path[-1].total_penalty), 2) \
                             > this_mode['OSNR'] + equipment['SI']['default'].sys_margins:
@@ -407,22 +413,19 @@ 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.info(msg)
+        LOGGER.warning(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.info(msg)
+        LOGGER.warning(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']
@@ -440,9 +443,7 @@ def jsontopath_metric(path_metric):
 
 
 def jsontoparams(my_p, tsp, mode, equipment):
-    """ a function that derives optical params from transponder type and mode
-        supports the no mode case
-    """
+    """a function that derives optical params from transponder type and mode 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']:
@@ -452,8 +453,8 @@ 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"]}, ' +
-                         f'{elem["path-route-object"]["label-hop"]["M"]}')
+            temp2.append(f'{[e["N"] for e in elem["path-route-object"]["label-hop"]]}, '
+                         + 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
@@ -477,7 +478,7 @@ def jsontoparams(my_p, tsp, mode, equipment):
 
 
 def jsontocsv(json_data, equipment, fileout):
-    """ reads json path result file in accordance with:
+    """reads json path result file in accordance with:
     Yang model for requesting Path Computation
     draft-ietf-teas-yang-path-computation-01.txt.
     and write results in an CSV file
@@ -815,13 +816,13 @@ 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
@@ -843,9 +844,7 @@ 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'
-            LOGGER.critical(msg)
-            print(f'{msg}\nComputation stopped.')
+            msg = 'No disjoint path found with added constraint\nComputation stopped.'
             # TODO in this case: replay step 5  with the candidate without constraints
             raise DisjunctionError(msg)
 
@@ -866,8 +865,7 @@ 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:
@@ -877,7 +875,7 @@ def isdisjoint(pth1, pth2):
 
 
 def find_reversed_path(pth):
-    """ select of intermediate roadms and find the path between them
+    """select of intermediate roadms and find the path between them
     note that this function may not give an exact result in case of multiple
     links between two adjacent nodes.
     """
@@ -902,9 +900,8 @@ 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}:' +\
-                ' can not handle unidir topology. TO DO.'
-            LOGGER.critical(msg)
+            msg = f'Error while handling reversed path {pth[-1].uid} to {pth[0].uid}:' \
+                + ' can not handle unidir topology. TO DO.'
             raise ValueError(msg)
     reversed_path.append(pth[0])
 
@@ -912,9 +909,7 @@ def find_reversed_path(pth):
 
 
 def ispart(ptha, pthb):
-    """ the functions takes two paths a and b and retrns True
-        if all a elements are part of b and in the same order
-    """
+    """the functions takes two paths a and b and retrns True if all a elements are part of b and in the same order"""
     j = 0
     for elem in ptha:
         if elem in pthb:
@@ -928,8 +923,7 @@ 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()
@@ -944,8 +938,7 @@ 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
@@ -978,28 +971,32 @@ 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 \
-            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:
+            req1.tx_power == req2.tx_power and \
+            same_disj:
         return True
     else:
         return False
 
 
 def requests_aggregation(pathreqlist, disjlist):
-    """ this function aggregates requests so that if several requests
+    """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
@@ -1016,7 +1013,8 @@ 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
+    """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
     """
@@ -1024,15 +1022,13 @@ 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' +\
-                f' source : {pathreq.source}.{ansi_escapes.reset}'
-            LOGGER.critical(msg)
+            msg = f'Request: {pathreq.request_id}: could not find transponder' \
+                + f' source : {pathreq.source}.'
             raise ServiceError(msg)
 
         if pathreq.destination not in transponders:
-            msg = f'{ansi_escapes.red}Request: {pathreq.request_id}: could not find transponder' +\
-                f' destination : {pathreq.destination}.{ansi_escapes.reset}'
-            LOGGER.critical(msg)
+            msg = f'Request: {pathreq.request_id}: could not find transponder' \
+                + f' destination : {pathreq.destination}.'
             raise ServiceError(msg)
 
         # silently remove source and dest nodes from the list
@@ -1051,24 +1047,21 @@ 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}\',' +\
-                        f' could not use it as constraint, skipped!{ansi_escapes.reset}'
-                    print(msg)
-                    LOGGER.info(msg)
+                    msg = f'invalid route node specified:\n\t\'{n_id}\',' \
+                        + ' could not use it as constraint, skipped!'
+                    LOGGER.warning(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' +\
-                        f' topology. Strict constraint can not be applied.{ansi_escapes.reset}'
-                    LOGGER.critical(msg)
+                    msg = f'could not find node:\n\t \'{n_id}\' in network' \
+                        + ' topology. Strict constraint can not be applied.'
                     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:
@@ -1079,7 +1072,8 @@ 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
+    """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 = []
@@ -1091,10 +1085,10 @@ 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}')
-        print(f'Computing path from {pathreq.source} to {pathreq.destination}')
-        # adding first node to be clearer on the output
-        print(f'with path constraint: {[pathreq.source] + pathreq.nodes_list}')
+        msg = f'\n\trequest {pathreq.request_id}\n' \
+              + f'\tComputing path from {pathreq.source} to {pathreq.destination}\n' \
+              + f'\twith 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
@@ -1103,8 +1097,10 @@ def compute_path_with_disjunction(network, equipment, pathreqlist, pathlist):
         # elements to simulate performance, several demands having the same destination
         # 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
+        network_module.design_network(pathreq, network, equipment, set_connector_losses=False, verbose=False)
         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:
@@ -1115,14 +1111,12 @@ 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' +\
-                          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\tCD penalty = {round(total_path[-1].penalties["chromatic_dispersion"][min_ind], 2)}' +\
-                          f'\n\tPMD penalty = {round(total_path[-1].penalties["pmd"][min_ind], 2)}' +\
-                          f'\n\trequired osnr = {pathreq.OSNR}' +\
-                          f'\n\tsystem margin = {equipment["SI"]["default"].sys_margins}'
-                    print(msg)
+                    msg = f'\tWarning! Request {pathreq.request_id} computed path from' \
+                          + 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)}'
+                    msg = _penalty_msg(total_path, msg, min_ind) \
+                        + f'\n\trequired osnr = {pathreq.OSNR}' \
+                        + f'\n\tsystem margin = {equipment["SI"]["default"].sys_margins}'
                     LOGGER.warning(msg)
                     pathreq.blocking_reason = 'MODE_NOT_FEASIBLE'
             else:
@@ -1142,6 +1136,7 @@ def compute_path_with_disjunction(network, equipment, pathreqlist, pathlist):
                         pathreq.OSNR = mode['OSNR']
                         pathreq.tx_osnr = mode['tx_osnr']
                         pathreq.bit_rate = mode['bit_rate']
+                        pathreq.penalties = mode['penalties']
                     # other blocking reason should not appear at this point
                 except AttributeError:
                     pathreq.baud_rate = mode['baud_rate']
@@ -1150,28 +1145,27 @@ def compute_path_with_disjunction(network, equipment, pathreqlist, pathlist):
                     pathreq.OSNR = mode['OSNR']
                     pathreq.tx_osnr = mode['tx_osnr']
                     pathreq.bit_rate = mode['bit_rate']
+                    pathreq.penalties = mode['penalties']
 
             # reversed path is needed for correct spectrum assignment
             reversed_path = find_reversed_path(pathlist[i])
             if pathreq.bidir and pathreq.baud_rate is not None:
                 # Both directions requested, and a feasible mode was found
                 rev_p = deepcopy(reversed_path)
-
-                print(f'\n\tPropagating Z to A direction {pathreq.destination} to {pathreq.source}')
-                print(f'\tPath (roadsm) {[r.uid for r in rev_p if isinstance(r,Roadm)]}\n')
+                msg = f'\n\tPropagating Z to A direction {pathreq.destination} to {pathreq.source}\n' \
+                      + f'\tPath (roadms) {[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' +\
-                          f' {pathreq.source} to {pathreq.destination} 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\tCD penalty = {round(rev_p[-1].penalties["chromatic_dispersion"][min_ind], 2)}' +\
-                          f'\n\tPMD penalty = {round(rev_p[-1].penalties["pmd"][min_ind], 2)}' +\
-                          f'\n\trequired osnr = {pathreq.OSNR}' +\
-                          f'\n\tsystem margin = {equipment["SI"]["default"].sys_margins}'
-                    print(msg)
+                    msg = f'\tWarning! Request {pathreq.request_id} computed path from' \
+                          + 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)}'
+                    msg = _penalty_msg(rev_p, msg, min_ind) \
+                        + f'\n\trequired osnr = {pathreq.OSNR}' \
+                        + f'\n\tsystem margin = {equipment["SI"]["default"].sys_margins}'
                     LOGGER.warning(msg)
                     # TODO selection of mode should also be on reversed direction !!
                     if not hasattr(pathreq, 'blocking_reason'):
@@ -1179,9 +1173,8 @@ def compute_path_with_disjunction(network, equipment, pathreqlist, pathlist):
             else:
                 propagated_reversed_path = []
         else:
-            msg = 'Total path is empty. No propagation'
-            print(msg)
-            LOGGER.info(msg)
+            msg = f'Request {pathreq.request_id}: Total path is empty. No propagation'
+            LOGGER.warning(msg)
             reversed_path = []
             propagated_reversed_path = []
 
@@ -1189,12 +1182,12 @@ 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)
+    """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)
@@ -1203,3 +1196,19 @@ 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]
@@ -75,7 +71,7 @@ OMSParams = namedtuple('OMSParams', 'oms_id el_id_list el_list')
 
 
 class OMS:
-    """ OMS class is the logical container that represent a link between two adjacent ROADMs and
+    """OMS class is the logical container that represent a link between two adjacent ROADMs and
     records the crossed elements and the occupied spectrum
     """
 
@@ -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,
-                        grid=0.00625e12):
-        """ frequencies expressed in Hz
+    def update_spectrum(self, f_min, f_max, guardband=0.15e12, existing_spectrum=None, grid=0.00625e12):
+        """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:
-            # add some 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.
-
-            # TODO : add explaination on that / parametrize ....
-            self.spectrum_bitmap = Bitmap(f_min, f_max, grid, guardband)
-            # print(len(self.spectrum_bitmap.bitmap))
+        self.spectrum_bitmap = Bitmap(f_min=f_min, f_max=f_max, grid=grid, guardband=guardband,
+                                      bitmap=existing_spectrum)
 
     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)
+    """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
 
@@ -167,7 +155,8 @@ def frequency_to_n(freq, grid=0.00625e12):
 
 
 def nvalue_to_frequency(nvalue, grid=0.00625e12):
-    """ converts n value into a frequency
+    """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
 
@@ -181,15 +170,15 @@ 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
 
 
 def slots_to_m(startn, stopn):
-    """ converts the start and stop n values to the center n and m value
+    """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
 
@@ -206,7 +195,8 @@ def slots_to_m(startn, stopn):
 
 
 def m_to_freq(nvalue, mvalue, grid=0.00625e12):
-    """ converts m into frequency range
+    """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
-        out of grid slots are set to 0
-    """
+    """Used to apply same grid to all oms : same starting n, stop n and slot size. 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:
@@ -239,7 +227,8 @@ def align_grids(oms_list):
 
 
 def build_oms_list(network, equipment):
-    """ initialization of OMS list in the network
+    """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.
@@ -296,7 +285,8 @@ def build_oms_list(network, equipment):
 
 
 def reversed_oms(oms_list):
-    """ identifies reversed OMS
+    """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):
-    """Collects spectrum availability and call the select_candidate function"""
-
-    # use indexes instead of ITU-T n values
+def build_path_oms_id_list(pth):
     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))
-    # 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
+    return list(set(path_oms))
 
-    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)
@@ -354,29 +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)
-        # print(f'N {requested_n} i {i}')
-        # print(freq_availability[i-m:i+m] )
-        # 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
+        i = test_oms.spectrum_bitmap.geti(requested_n)
+        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)
-        # print("coucou11")
-        # print(candidate)
-    # print(freq_availability[321:321+2*m])
-    # a = [i+321 for i in range(2*m)]
-    # print(a)
-    # print(candidate)
-    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]
@@ -386,44 +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
+    """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:
-                # Consistency check between the requested M and path_bandwidth
-                # M value should be bigger than the computed requested_m (simple estimate)
-                # TODO: elaborate a more accurate estimate with nb_wl * tx_osnr + possibly guardbands in case of
+            _, per_channel_m = compute_spectrum_slot_vs_bandwidth(rq.bit_rate,
+                                                                  rq.spacing, rq.bit_rate)
+            # find oms ids that are concerned both by pth and rpth
+            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
-                requested_m = rq.M
-            requested_n = getattr(rq, 'N', None)
-            (center_n, startn, stopn), path_oms = spectrum_selection(pth + rpth, oms_list, requested_m,
-                                                                     requested_n)
-            # if requested n and m concern already occupied spectrum the previous function returns a None candidate
-            # if not None, center_n and start, stop frequencies are applicable to all oms of pth
-            # 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:
+            # Use the req.M even if nb_wl and required_m are smaller.
+            # first fit strategy: assign as many lambda as possible in the None remaining N, M values
+            selected_n, selected_m, remaining_slots_to_serve = \
+                compute_n_m(required_m, rq, path_oms, oms_list, per_channel_m)
+            # if there are some remaining_slots_to_serve, this means that provided rq.M and rq.N values were
+            # not possible. Then do not go though spectrum assignment process and blocks the demand
+            if remaining_slots_to_serve > 0:
                 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

@@ -1,7 +0,0 @@
-matplotlib>=3.5.1,<4
-networkx>=2.6,<3
-numpy>=1.22.0,<2
-pandas>=1.3.5,<2
-pbr>=5.7.0,<6
-scipy>=1.7.3,<2
-xlrd>=1.2.0,<2

setup.cfg

@@ -3,7 +3,7 @@ name = gnpy
 description-file = README.md
 description-content-type = text/markdown; variant=GFM
 author = Telecom Infra Project
-author-email = jan.kundrat@telecominfraproject.com
+author-email = jkt@jankundrat.com
 license = BSD-3-Clause
 home-page = https://github.com/Telecominfraproject/oopt-gnpy
 project_urls =
@@ -22,6 +22,8 @@ classifier =
     Programming Language :: Python :: 3.8
     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
@@ -47,3 +49,35 @@ console_scripts =
     gnpy-transmission-example = gnpy.tools.cli_examples:transmission_main_example
     gnpy-path-request = gnpy.tools.cli_examples:path_requests_run
     gnpy-convert-xls = gnpy.tools.convert:_do_convert
+
+[options]
+install_requires =
+	# matplotlib 3.8 removed support for Python 3.8
+	matplotlib>=3.7.3,<4
+	# networkx 3.2 removed support for Python 3.8
+	networkx>=3.1,<4
+	# 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
+
+[options.extras_require]
+tests =
+	build>=1.0.3,<2
+	pytest>=7.4.3,<8
+	# 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
+
+docs =
+	alabaster>=0.7.12,<1
+	docutils>=0.17.1,<1
+	myst-parser>=0.16.1,<1
+	Pygments>=2.11.2,<3
+	rstcheck
+	Sphinx>=5.3.0,<6
+	sphinxcontrib-bibtex>=2.4.1,<3

tests/data/CORONET_Global_Topology_auto_design_expected.json

@@ -1203,6 +1203,7 @@
     {
       "uid": "roadm Abilene",
       "type": "Roadm",
+      "type_variety": "default",
       "params": {
         "target_pch_out_db": -20,
         "restrictions": {
@@ -1226,6 +1227,7 @@
     {
       "uid": "roadm Albany",
       "type": "Roadm",
+      "type_variety": "default",
       "params": {
         "target_pch_out_db": -20,
         "restrictions": {
@@ -1249,6 +1251,7 @@
     {
       "uid": "roadm Albuquerque",
       "type": "Roadm",
+      "type_variety": "default",
       "params": {
         "target_pch_out_db": -20,
         "restrictions": {
@@ -1274,6 +1277,7 @@
     {
       "uid": "roadm Atlanta",
       "type": "Roadm",
+      "type_variety": "default",
       "params": {
         "target_pch_out_db": -20,
         "restrictions": {
@@ -1298,6 +1302,7 @@
     {
       "uid": "roadm Austin",
       "type": "Roadm",
+      "type_variety": "default",
       "params": {
         "target_pch_out_db": -20,
         "restrictions": {
@@ -1321,6 +1326,7 @@
     {
       "uid": "roadm Baltimore",
       "type": "Roadm",
+      "type_variety": "default",
       "params": {
         "target_pch_out_db": -20,
         "restrictions": {
@@ -1345,6 +1351,7 @@
     {
       "uid": "roadm Baton_Rouge",
       "type": "Roadm",
+      "type_variety": "default",
       "params": {
         "target_pch_out_db": -20,
         "restrictions": {
@@ -1368,6 +1375,7 @@
     {
       "uid": "roadm Billings",
       "type": "Roadm",
+      "type_variety": "default",
       "params": {
         "target_pch_out_db": -20,
         "restrictions": {
@@ -1392,6 +1400,7 @@
     {
       "uid": "roadm Birmingham",
       "type": "Roadm",
+      "type_variety": "default",
       "params": {
         "target_pch_out_db": -20,
         "restrictions": {
@@ -1416,6 +1425,7 @@
     {
       "uid": "roadm Bismarck",
       "type": "Roadm",
+      "type_variety": "default",
       "params": {
         "target_pch_out_db": -20,
         "restrictions": {
@@ -1439,6 +1449,7 @@
     {
       "uid": "roadm Boston",
       "type": "Roadm",
+      "type_variety": "default",
       "params": {
         "target_pch_out_db": -20,
         "restrictions": {
@@ -1462,6 +1473,7 @@
     {
       "uid": "roadm Buffalo",
       "type": "Roadm",
+      "type_variety": "default",
       "params": {
         "target_pch_out_db": -20,
         "restrictions": {
@@ -1485,6 +1497,7 @@
     {
       "uid": "roadm Charleston",
       "type": "Roadm",
+      "type_variety": "default",
       "params": {
         "target_pch_out_db": -20,
         "restrictions": {
@@ -1508,6 +1521,7 @@
     {
       "uid": "roadm Charlotte",
       "type": "Roadm",
+      "type_variety": "default",
       "params": {
         "target_pch_out_db": -20,
         "restrictions": {
@@ -1531,6 +1545,7 @@
     {
       "uid": "roadm Chicago",
       "type": "Roadm",
+      "type_variety": "default",
       "params": {
         "target_pch_out_db": -20,
         "restrictions": {
@@ -1555,6 +1570,7 @@
     {
       "uid": "roadm Cincinnati",
       "type": "Roadm",
+      "type_variety": "default",
       "params": {
         "target_pch_out_db": -20,
         "restrictions": {
@@ -1579,6 +1595,7 @@
     {
       "uid": "roadm Cleveland",
       "type": "Roadm",
+      "type_variety": "default",
       "params": {
         "target_pch_out_db": -20,
         "restrictions": {
@@ -1603,6 +1620,7 @@
     {
       "uid": "roadm Columbus",
       "type": "Roadm",
+      "type_variety": "default",
       "params": {
         "target_pch_out_db": -20,
         "restrictions": {
@@ -1627,6 +1645,7 @@
     {
       "uid": "roadm Dallas",
       "type": "Roadm",
+      "type_variety": "default",
       "params": {
         "target_pch_out_db": -20,
         "restrictions": {
@@ -1653,6 +1672,7 @@
     {
       "uid": "roadm Denver",
       "type": "Roadm",
+      "type_variety": "default",
       "params": {
         "target_pch_out_db": -20,
         "restrictions": {
@@ -1678,6 +1698,7 @@
     {
       "uid": "roadm Detroit",
       "type": "Roadm",
+      "type_variety": "default",
       "params": {
         "target_pch_out_db": -20,
         "restrictions": {
@@ -1701,6 +1722,7 @@
     {
       "uid": "roadm El_Paso",
       "type": "Roadm",
+      "type_variety": "default",
       "params": {
         "target_pch_out_db": -20,
         "restrictions": {
@@ -1726,6 +1748,7 @@
     {
       "uid": "roadm Fresno",
       "type": "Roadm",
+      "type_variety": "default",
       "params": {
         "target_pch_out_db": -20,
         "restrictions": {
@@ -1750,6 +1773,7 @@
     {
       "uid": "roadm Greensboro",
       "type": "Roadm",
+      "type_variety": "default",
       "params": {
         "target_pch_out_db": -20,
         "restrictions": {
@@ -1775,6 +1799,7 @@
     {
       "uid": "roadm Hartford",
       "type": "Roadm",
+      "type_variety": "default",
       "params": {
         "target_pch_out_db": -20,
         "restrictions": {
@@ -1798,6 +1823,7 @@
     {
       "uid": "roadm Houston",
       "type": "Roadm",
+      "type_variety": "default",
       "params": {
         "target_pch_out_db": -20,
         "restrictions": {
@@ -1822,6 +1848,7 @@
     {
       "uid": "roadm Jacksonville",
       "type": "Roadm",
+      "type_variety": "default",
       "params": {
         "target_pch_out_db": -20,
         "restrictions": {
@@ -1846,6 +1873,7 @@
     {
       "uid": "roadm Kansas_City",
       "type": "Roadm",
+      "type_variety": "default",
       "params": {
         "target_pch_out_db": -20,
         "restrictions": {
@@ -1870,6 +1898,7 @@
     {
       "uid": "roadm Las_Vegas",
       "type": "Roadm",
+      "type_variety": "default",
       "params": {
         "target_pch_out_db": -20,
         "restrictions": {
@@ -1895,6 +1924,7 @@
     {
       "uid": "roadm Little_Rock",
       "type": "Roadm",
+      "type_variety": "default",
       "params": {
         "target_pch_out_db": -20,
         "restrictions": {
@@ -1918,6 +1948,7 @@
     {
       "uid": "roadm Long_Island",
       "type": "Roadm",
+      "type_variety": "default",
       "params": {
         "target_pch_out_db": -20,
         "restrictions": {
@@ -1941,6 +1972,7 @@
     {
       "uid": "roadm Los_Angeles",
       "type": "Roadm",
+      "type_variety": "default",
       "params": {
         "target_pch_out_db": -20,
         "restrictions": {
@@ -1966,6 +1998,7 @@
     {
       "uid": "roadm Louisville",
       "type": "Roadm",
+      "type_variety": "default",
       "params": {
         "target_pch_out_db": -20,
         "restrictions": {
@@ -1991,6 +2024,7 @@
     {
       "uid": "roadm Memphis",
       "type": "Roadm",
+      "type_variety": "default",
       "params": {
         "target_pch_out_db": -20,
         "restrictions": {
@@ -2014,6 +2048,7 @@
     {
       "uid": "roadm Miami",
       "type": "Roadm",
+      "type_variety": "default",
       "params": {
         "target_pch_out_db": -20,
         "restrictions": {
@@ -2038,6 +2073,7 @@
     {
       "uid": "roadm Milwaukee",
       "type": "Roadm",
+      "type_variety": "default",
       "params": {
         "target_pch_out_db": -20,
         "restrictions": {
@@ -2061,6 +2097,7 @@
     {
       "uid": "roadm Minneapolis",
       "type": "Roadm",
+      "type_variety": "default",
       "params": {
         "target_pch_out_db": -20,
         "restrictions": {
@@ -2085,6 +2122,7 @@
     {
       "uid": "roadm Nashville",
       "type": "Roadm",
+      "type_variety": "default",
       "params": {
         "target_pch_out_db": -20,
         "restrictions": {
@@ -2109,6 +2147,7 @@
     {
       "uid": "roadm New_Orleans",
       "type": "Roadm",
+      "type_variety": "default",
       "params": {
         "target_pch_out_db": -20,
         "restrictions": {
@@ -2133,6 +2172,7 @@
     {
       "uid": "roadm New_York",
       "type": "Roadm",
+      "type_variety": "default",
       "params": {
         "target_pch_out_db": -20,
         "restrictions": {
@@ -2159,6 +2199,7 @@
     {
       "uid": "roadm Newark",
       "type": "Roadm",
+      "type_variety": "default",
       "params": {
         "target_pch_out_db": -20,
         "restrictions": {
@@ -2182,6 +2223,7 @@
     {
       "uid": "roadm Norfolk",
       "type": "Roadm",
+      "type_variety": "default",
       "params": {
         "target_pch_out_db": -20,
         "restrictions": {
@@ -2205,6 +2247,7 @@
     {
       "uid": "roadm Oakland",
       "type": "Roadm",
+      "type_variety": "default",
       "params": {
         "target_pch_out_db": -20,
         "restrictions": {
@@ -2231,6 +2274,7 @@
     {
       "uid": "roadm Oklahoma_City",
       "type": "Roadm",
+      "type_variety": "default",
       "params": {
         "target_pch_out_db": -20,
         "restrictions": {
@@ -2254,6 +2298,7 @@
     {
       "uid": "roadm Omaha",
       "type": "Roadm",
+      "type_variety": "default",
       "params": {
         "target_pch_out_db": -20,
         "restrictions": {
@@ -2278,6 +2323,7 @@
     {
       "uid": "roadm Orlando",
       "type": "Roadm",
+      "type_variety": "default",
       "params": {
         "target_pch_out_db": -20,
         "restrictions": {
@@ -2301,6 +2347,7 @@
     {
       "uid": "roadm Philadelphia",
       "type": "Roadm",
+      "type_variety": "default",
       "params": {
         "target_pch_out_db": -20,
         "restrictions": {
@@ -2325,6 +2372,7 @@
     {
       "uid": "roadm Phoenix",
       "type": "Roadm",
+      "type_variety": "default",
       "params": {
         "target_pch_out_db": -20,
         "restrictions": {
@@ -2349,6 +2397,7 @@
     {
       "uid": "roadm Pittsburgh",
       "type": "Roadm",
+      "type_variety": "default",
       "params": {
         "target_pch_out_db": -20,
         "restrictions": {
@@ -2373,6 +2422,7 @@
     {
       "uid": "roadm Portland",
       "type": "Roadm",
+      "type_variety": "default",
       "params": {
         "target_pch_out_db": -20,
         "restrictions": {
@@ -2398,6 +2448,7 @@
     {
       "uid": "roadm Providence",
       "type": "Roadm",
+      "type_variety": "default",
       "params": {
         "target_pch_out_db": -20,
         "restrictions": {
@@ -2421,6 +2472,7 @@
     {
       "uid": "roadm Raleigh",
       "type": "Roadm",
+      "type_variety": "default",
       "params": {
         "target_pch_out_db": -20,
         "restrictions": {
@@ -2445,6 +2497,7 @@
     {
       "uid": "roadm Richmond",
       "type": "Roadm",
+      "type_variety": "default",
       "params": {
         "target_pch_out_db": -20,
         "restrictions": {
@@ -2468,6 +2521,7 @@
     {
       "uid": "roadm Rochester",
       "type": "Roadm",
+      "type_variety": "default",
       "params": {
         "target_pch_out_db": -20,
         "restrictions": {
@@ -2491,6 +2545,7 @@
     {
       "uid": "roadm Sacramento",
       "type": "Roadm",
+      "type_variety": "default",
       "params": {
         "target_pch_out_db": -20,
         "restrictions": {
@@ -2514,6 +2569,7 @@
     {
       "uid": "roadm Salt_Lake_City",
       "type": "Roadm",
+      "type_variety": "default",
       "params": {
         "target_pch_out_db": -20,
         "restrictions": {
@@ -2539,6 +2595,7 @@
     {
       "uid": "roadm San_Antonio",
       "type": "Roadm",
+      "type_variety": "default",
       "params": {
         "target_pch_out_db": -20,
         "restrictions": {
@@ -2562,6 +2619,7 @@
     {
       "uid": "roadm San_Diego",
       "type": "Roadm",
+      "type_variety": "default",
       "params": {
         "target_pch_out_db": -20,
         "restrictions": {
@@ -2585,6 +2643,7 @@
     {
       "uid": "roadm San_Francisco",
       "type": "Roadm",
+      "type_variety": "default",
       "params": {
         "target_pch_out_db": -20,
         "restrictions": {
@@ -2608,6 +2667,7 @@
     {
       "uid": "roadm San_Jose",
       "type": "Roadm",
+      "type_variety": "default",
       "params": {
         "target_pch_out_db": -20,
         "restrictions": {
@@ -2631,6 +2691,7 @@
     {
       "uid": "roadm Santa_Barbara",
       "type": "Roadm",
+      "type_variety": "default",
       "params": {
         "target_pch_out_db": -20,
         "restrictions": {
@@ -2654,6 +2715,7 @@
     {
       "uid": "roadm Scranton",
       "type": "Roadm",
+      "type_variety": "default",
       "params": {
         "target_pch_out_db": -20,
         "restrictions": {
@@ -2679,6 +2741,7 @@
     {
       "uid": "roadm Seattle",
       "type": "Roadm",
+      "type_variety": "default",
       "params": {
         "target_pch_out_db": -20,
         "restrictions": {
@@ -2702,6 +2765,7 @@
     {
       "uid": "roadm Spokane",
       "type": "Roadm",
+      "type_variety": "default",
       "params": {
         "target_pch_out_db": -20,
         "restrictions": {
@@ -2725,6 +2789,7 @@
     {
       "uid": "roadm Springfield",
       "type": "Roadm",
+      "type_variety": "default",
       "params": {
         "target_pch_out_db": -20,
         "restrictions": {
@@ -2748,6 +2813,7 @@
     {
       "uid": "roadm St_Louis",
       "type": "Roadm",
+      "type_variety": "default",
       "params": {
         "target_pch_out_db": -20,
         "restrictions": {
@@ -2772,6 +2838,7 @@
     {
       "uid": "roadm Syracuse",
       "type": "Roadm",
+      "type_variety": "default",
       "params": {
         "target_pch_out_db": -20,
         "restrictions": {
@@ -2796,6 +2863,7 @@
     {
       "uid": "roadm Tallahassee",
       "type": "Roadm",
+      "type_variety": "default",
       "params": {
         "target_pch_out_db": -20,
         "restrictions": {
@@ -2819,6 +2887,7 @@
     {
       "uid": "roadm Tampa",
       "type": "Roadm",
+      "type_variety": "default",
       "params": {
         "target_pch_out_db": -20,
         "restrictions": {
@@ -2842,6 +2911,7 @@
     {
       "uid": "roadm Toledo",
       "type": "Roadm",
+      "type_variety": "default",
       "params": {
         "target_pch_out_db": -20,
         "restrictions": {
@@ -2865,6 +2935,7 @@
     {
       "uid": "roadm Tucson",
       "type": "Roadm",
+      "type_variety": "default",
       "params": {
         "target_pch_out_db": -20,
         "restrictions": {
@@ -2888,6 +2959,7 @@
     {
       "uid": "roadm Tulsa",
       "type": "Roadm",
+      "type_variety": "default",
       "params": {
         "target_pch_out_db": -20,
         "restrictions": {
@@ -2911,6 +2983,7 @@
     {
       "uid": "roadm Washington_DC",
       "type": "Roadm",
+      "type_variety": "default",
       "params": {
         "target_pch_out_db": -20,
         "restrictions": {
@@ -2936,6 +3009,7 @@
     {
       "uid": "roadm West_Palm_Beach",
       "type": "Roadm",
+      "type_variety": "default",
       "params": {
         "target_pch_out_db": -20,
         "restrictions": {
@@ -2959,6 +3033,7 @@
     {
       "uid": "roadm Wilmington",
       "type": "Roadm",
+      "type_variety": "default",
       "params": {
         "target_pch_out_db": -20,
         "restrictions": {
@@ -2982,6 +3057,7 @@
     {
       "uid": "roadm Amsterdam",
       "type": "Roadm",
+      "type_variety": "default",
       "params": {
         "target_pch_out_db": -20,
         "restrictions": {
@@ -3007,6 +3083,7 @@
     {
       "uid": "roadm Berlin",
       "type": "Roadm",
+      "type_variety": "default",
       "params": {
         "target_pch_out_db": -20,
         "restrictions": {
@@ -3030,6 +3107,7 @@
     {
       "uid": "roadm Brussels",
       "type": "Roadm",
+      "type_variety": "default",
       "params": {
         "target_pch_out_db": -20,
         "restrictions": {
@@ -3053,6 +3131,7 @@
     {
       "uid": "roadm Bucharest",
       "type": "Roadm",
+      "type_variety": "default",
       "params": {
         "target_pch_out_db": -20,
         "restrictions": {
@@ -3076,6 +3155,7 @@
     {
       "uid": "roadm Frankfurt",
       "type": "Roadm",
+      "type_variety": "default",
       "params": {
         "target_pch_out_db": -20,
         "restrictions": {
@@ -3099,6 +3179,7 @@
     {
       "uid": "roadm Istanbul",
       "type": "Roadm",
+      "type_variety": "default",
       "params": {
         "target_pch_out_db": -20,
         "restrictions": {
@@ -3123,6 +3204,7 @@
     {
       "uid": "roadm London",
       "type": "Roadm",
+      "type_variety": "default",
       "params": {
         "target_pch_out_db": -20,
         "restrictions": {
@@ -3147,6 +3229,7 @@
     {
       "uid": "roadm Madrid",
       "type": "Roadm",
+      "type_variety": "default",
       "params": {
         "target_pch_out_db": -20,
         "restrictions": {
@@ -3170,6 +3253,7 @@
     {
       "uid": "roadm Paris",
       "type": "Roadm",
+      "type_variety": "default",
       "params": {
         "target_pch_out_db": -20,
         "restrictions": {
@@ -3194,6 +3278,7 @@
     {
       "uid": "roadm Rome",
       "type": "Roadm",
+      "type_variety": "default",
       "params": {
         "target_pch_out_db": -20,
         "restrictions": {
@@ -3219,6 +3304,7 @@
     {
       "uid": "roadm Vienna",
       "type": "Roadm",
+      "type_variety": "default",
       "params": {
         "target_pch_out_db": -20,
         "restrictions": {
@@ -3243,6 +3329,7 @@
     {
       "uid": "roadm Warsaw",
       "type": "Roadm",
+      "type_variety": "default",
       "params": {
         "target_pch_out_db": -20,
         "restrictions": {
@@ -3267,6 +3354,7 @@
     {
       "uid": "roadm Zurich",
       "type": "Roadm",
+      "type_variety": "default",
       "params": {
         "target_pch_out_db": -20,
         "restrictions": {
@@ -3290,6 +3378,7 @@
     {
       "uid": "roadm Bangkok",
       "type": "Roadm",
+      "type_variety": "default",
       "params": {
         "target_pch_out_db": -20,
         "restrictions": {
@@ -3313,6 +3402,7 @@
     {
       "uid": "roadm Beijing",
       "type": "Roadm",
+      "type_variety": "default",
       "params": {
         "target_pch_out_db": -20,
         "restrictions": {
@@ -3336,6 +3426,7 @@
     {
       "uid": "roadm Delhi",
       "type": "Roadm",
+      "type_variety": "default",
       "params": {
         "target_pch_out_db": -20,
         "restrictions": {
@@ -3360,6 +3451,7 @@
     {
       "uid": "roadm Hong_Kong",
       "type": "Roadm",
+      "type_variety": "default",
       "params": {
         "target_pch_out_db": -20,
         "restrictions": {
@@ -3385,6 +3477,7 @@
     {
       "uid": "roadm Honolulu",
       "type": "Roadm",
+      "type_variety": "default",
       "params": {
         "target_pch_out_db": -20,
         "restrictions": {
@@ -3409,6 +3502,7 @@
     {
       "uid": "roadm Mumbai",
       "type": "Roadm",
+      "type_variety": "default",
       "params": {
         "target_pch_out_db": -20,
         "restrictions": {
@@ -3433,6 +3527,7 @@
     {
       "uid": "roadm Seoul",
       "type": "Roadm",
+      "type_variety": "default",
       "params": {
         "target_pch_out_db": -20,
         "restrictions": {
@@ -3456,6 +3551,7 @@
     {
       "uid": "roadm Shanghai",
       "type": "Roadm",
+      "type_variety": "default",
       "params": {
         "target_pch_out_db": -20,
         "restrictions": {
@@ -3479,6 +3575,7 @@
     {
       "uid": "roadm Singapore",
       "type": "Roadm",
+      "type_variety": "default",
       "params": {
         "target_pch_out_db": -20,
         "restrictions": {
@@ -3502,6 +3599,7 @@
     {
       "uid": "roadm Sydney",
       "type": "Roadm",
+      "type_variety": "default",
       "params": {
         "target_pch_out_db": -20,
         "restrictions": {
@@ -3526,6 +3624,7 @@
     {
       "uid": "roadm Taipei",
       "type": "Roadm",
+      "type_variety": "default",
       "params": {
         "target_pch_out_db": -20,
         "restrictions": {
@@ -3551,6 +3650,7 @@
     {
       "uid": "roadm Tokyo",
       "type": "Roadm",
+      "type_variety": "default",
       "params": {
         "target_pch_out_db": -20,
         "restrictions": {
@@ -83375,7 +83475,7 @@
       "type": "Edfa",
       "type_variety": "std_medium_gain",
       "operational": {
-        "gain_target": 28.5006,
+        "gain_target": 28.5,
         "delta_p": null,
         "tilt_target": 0,
         "out_voa": 0
@@ -88752,7 +88852,7 @@
       "type": "Edfa",
       "type_variety": "std_medium_gain",
       "operational": {
-        "gain_target": 28.5032,
+        "gain_target": 28.5,
         "delta_p": null,
         "tilt_target": 0,
         "out_voa": 0
@@ -89037,7 +89137,7 @@
       "type": "Edfa",
       "type_variety": "std_medium_gain",
       "operational": {
-        "gain_target": 28.5006,
+        "gain_target": 28.5,
         "delta_p": null,
         "tilt_target": 0,
         "out_voa": 0
@@ -89721,7 +89821,7 @@
       "type": "Edfa",
       "type_variety": "std_medium_gain",
       "operational": {
-        "gain_target": 28.502,
+        "gain_target": 28.5,
         "delta_p": null,
         "tilt_target": 0,
         "out_voa": 0
@@ -89797,7 +89897,7 @@
       "type": "Edfa",
       "type_variety": "std_medium_gain",
       "operational": {
-        "gain_target": 28.502,
+        "gain_target": 28.5,
         "delta_p": null,
         "tilt_target": 0,
         "out_voa": 0
@@ -89911,7 +90011,7 @@
       "type": "Edfa",
       "type_variety": "std_medium_gain",
       "operational": {
-        "gain_target": 28.5032,
+        "gain_target": 28.5,
         "delta_p": null,
         "tilt_target": 0,
         "out_voa": 0

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/default_edfa_config.json

@@ -1,4 +1,6 @@
 {
+    "f_min": 191.35e12,
+    "f_max": 196.1e12,
     "nf_ripple": [
         0.0,
         0.0,
@@ -196,101 +198,101 @@
         0.0
     ],
     "dgt": [
-        2.714526681131686,
-        2.705443819238505,
-        2.6947834587664494,
-        2.6841217449620203,
-        2.6681935771243177,
-        2.6521732021128046,
-        2.630396440815385,
-        2.602860350286428,
-        2.5696460593920065,
-        2.5364027376452056,
-        2.499446286796604,
-        2.4587748041127506,
-        2.414398437185221,
-        2.3699990328716107,
-        2.322373696229342,
-        2.271520771371253,
-        2.2174389328192197,
-        2.16337565384239,
-        2.1183028432496016,
-        2.082225099873648,
-        2.055100772005235,
-        2.0279625371819305,
-        2.0008103857988204,
-        1.9736443063300082,
-        1.9482128147680253,
-        1.9245345552113182,
-        1.9026104247588487,
-        1.8806927939516411,
-        1.862235672444246,
-        1.847275503201129,
-        1.835814081380705,
-        1.824381436842932,
-        1.8139629377087627,
-        1.8045606557581335,
-        1.7961751115773796,
-        1.7877868031023945,
-        1.7793941781790852,
-        1.7709972329654864,
-        1.7625959636196327,
-        1.7541903672600494,
-        1.7459181197626403,
-        1.737780757913635,
-        1.7297783508684146,
-        1.7217732861435076,
-        1.7137640932265894,
-        1.7057507692361864,
-        1.6918150918099673,
-        1.6719047669939942,
-        1.6460167077689267,
-        1.6201194134191075,
-        1.5986915141218316,
-        1.5817353179379183,
-        1.569199764184379,
-        1.5566577309558969,
-        1.545374152761467,
-        1.5353620432989845,
-        1.5266220576235803,
-        1.5178910621476225,
-        1.5097346239790443,
-        1.502153039909686,
-        1.495145456062699,
-        1.488134243479226,
-        1.48111939735681,
-        1.474100442252211,
-        1.4670307626366115,
-        1.4599103316162523,
-        1.45273959485914,
-        1.445565137158368,
-        1.4340878115214444,
-        1.418273806730323,
-        1.3981208704326855,
-        1.3779439775587023,
-        1.3598972673004606,
-        1.3439818461440451,
-        1.3301807335621048,
-        1.316383926863083,
-        1.3040618749785347,
-        1.2932153453410835,
-        1.2838336236692311,
-        1.2744470198196236,
-        1.2650555289898042,
-        1.2556591482982988,
-        1.2428104897182262,
-        1.2264996957264114,
-        1.2067249615595257,
-        1.1869318618366975,
-        1.1672278304018044,
-        1.1476135933863398,
-        1.1280891949729075,
-        1.108555289615659,
-        1.0895983485572227,
-        1.0712204022764056,
-        1.0534217504465226,
-        1.0356155337864215,
+        1.0,
         1.017807767853702,
-        1.0
+        1.0356155337864215,
+        1.0534217504465226,
+        1.0712204022764056,
+        1.0895983485572227,
+        1.108555289615659,
+        1.1280891949729075,
+        1.1476135933863398,
+        1.1672278304018044,
+        1.1869318618366975,
+        1.2067249615595257,
+        1.2264996957264114,
+        1.2428104897182262,
+        1.2556591482982988,
+        1.2650555289898042,
+        1.2744470198196236,
+        1.2838336236692311,
+        1.2932153453410835,
+        1.3040618749785347,
+        1.316383926863083,
+        1.3301807335621048,
+        1.3439818461440451,
+        1.3598972673004606,
+        1.3779439775587023,
+        1.3981208704326855,
+        1.418273806730323,
+        1.4340878115214444,
+        1.445565137158368,
+        1.45273959485914,
+        1.4599103316162523,
+        1.4670307626366115,
+        1.474100442252211,
+        1.48111939735681,
+        1.488134243479226,
+        1.495145456062699,
+        1.502153039909686,
+        1.5097346239790443,
+        1.5178910621476225,
+        1.5266220576235803,
+        1.5353620432989845,
+        1.545374152761467,
+        1.5566577309558969,
+        1.569199764184379,
+        1.5817353179379183,
+        1.5986915141218316,
+        1.6201194134191075,
+        1.6460167077689267,
+        1.6719047669939942,
+        1.6918150918099673,
+        1.7057507692361864,
+        1.7137640932265894,
+        1.7217732861435076,
+        1.7297783508684146,
+        1.737780757913635,
+        1.7459181197626403,
+        1.7541903672600494,
+        1.7625959636196327,
+        1.7709972329654864,
+        1.7793941781790852,
+        1.7877868031023945,
+        1.7961751115773796,
+        1.8045606557581335,
+        1.8139629377087627,
+        1.824381436842932,
+        1.835814081380705,
+        1.847275503201129,
+        1.862235672444246,
+        1.8806927939516411,
+        1.9026104247588487,
+        1.9245345552113182,
+        1.9482128147680253,
+        1.9736443063300082,
+        2.0008103857988204,
+        2.0279625371819305,
+        2.055100772005235,
+        2.082225099873648,
+        2.1183028432496016,
+        2.16337565384239,
+        2.2174389328192197,
+        2.271520771371253,
+        2.322373696229342,
+        2.3699990328716107,
+        2.414398437185221,
+        2.4587748041127506,
+        2.499446286796604,
+        2.5364027376452056,
+        2.5696460593920065,
+        2.602860350286428,
+        2.630396440815385,
+        2.6521732021128046,
+        2.6681935771243177,
+        2.6841217449620203,
+        2.6947834587664494,
+        2.705443819238505,
+        2.714526681131686
     ]
 }

tests/data/eqpt_config.json

@@ -1,4 +1,5 @@
-{     "Edfa":[{
+{
+    "Edfa": [{
             "type_variety": "CienaDB_medium_gain",
             "type_def": "advanced_model",
             "gain_flatmax": 25,
@@ -7,8 +8,7 @@
             "advanced_config_from_json": "std_medium_gain_advanced_config.json",
             "out_voa_auto": false,
             "allowed_for_design": true
-            },
-            {
+        }, {
             "type_variety": "std_medium_gain",
             "type_def": "variable_gain",
             "gain_flatmax": 26,
@@ -18,8 +18,7 @@
             "nf_max": 10,
             "out_voa_auto": false,
             "allowed_for_design": true
-            },
-            {
+        }, {
             "type_variety": "std_low_gain",
             "type_def": "variable_gain",
             "gain_flatmax": 16,
@@ -29,8 +28,7 @@
             "nf_max": 11,
             "out_voa_auto": false,
             "allowed_for_design": true
-            },
-            {
+        }, {
             "type_variety": "test",
             "type_def": "variable_gain",
             "gain_flatmax": 25,
@@ -40,8 +38,7 @@
             "nf_max": 10,
             "out_voa_auto": false,
             "allowed_for_design": true
-            },
-            {
+        }, {
             "type_variety": "test_fixed_gain",
             "type_def": "fixed_gain",
             "gain_flatmax": 21,
@@ -49,8 +46,7 @@
             "p_max": 21,
             "nf0": 5,
             "allowed_for_design": true
-            },
-            {
+        }, {
             "type_variety": "std_booster",
             "type_def": "fixed_gain",
             "gain_flatmax": 21,
@@ -60,16 +56,16 @@
             "allowed_for_design": false
         }
     ],
-      "Fiber":[{
+    "Fiber": [{
             "type_variety": "SSMF",
             "dispersion": 1.67e-05,
             "effective_area": 83e-12,
             "pmd_coef": 1.265e-15
         }
     ],
-      "Span":[{
-            "power_mode":true,
-            "delta_power_range_db": [0,0,0.5],
+    "Span": [{
+            "power_mode": true,
+            "delta_power_range_db": [0, 0, 0.5],
             "max_fiber_lineic_loss_for_raman": 0.25,
             "target_extended_gain": 2.5,
             "max_length": 150,
@@ -81,23 +77,97 @@
             "con_out": 0
         }
     ],
-      "Roadm":[{
+    "Roadm": [{
+            "type_variety": "example_test",
+            "target_pch_out_db": -18,
+            "add_drop_osnr": 35,
+            "pmd": 1e-12,
+            "pdl": 0.5,
+            "restrictions": {
+                "preamp_variety_list": [],
+                "booster_variety_list": []
+            },
+            "roadm-path-impairments": []
+        }, {
+            "type_variety": "example_detailed_impairments",
             "target_pch_out_db": -20,
-            "add_drop_osnr": 38,
+            "add_drop_osnr": 35,
             "pmd": 0,
             "pdl": 0,
             "restrictions": {
                 "preamp_variety_list":[],
                 "booster_variety_list":[]
+                            },
+            "roadm-path-impairments": [
+                  {
+                    "roadm-path-impairments-id": 0,
+                    "roadm-express-path": [{
+                        "frequency-range": {
+                            "lower-frequency": 191.3e12,
+                            "upper-frequency": 196.1e12
+                            },
+                        "roadm-pmd": 0,
+                        "roadm-cd": 0,
+                        "roadm-pdl": 0,
+                        "roadm-inband-crosstalk": 0,
+                        "roadm-maxloss": 16.5
                         }
-            }],
-      "SI":[{
+                    ]
+                }, {
+                    "roadm-path-impairments-id": 1,
+                    "roadm-add-path": [{
+                        "frequency-range": {
+                            "lower-frequency": 191.3e12,
+                            "upper-frequency": 196.1e12
+                        },
+                        "roadm-pmd": 0,
+                        "roadm-cd": 0,
+                        "roadm-pdl": 0,
+                        "roadm-inband-crosstalk": 0,
+                        "roadm-maxloss": 11.5,
+                        "roadm-pmax": 2.5,
+                        "roadm-osnr": 41,
+                        "roadm-noise-figure": 23
+                    }]
+                }, {
+                    "roadm-path-impairments-id": 2,
+                    "roadm-drop-path": [{
+                        "frequency-range": {
+                            "lower-frequency": 191.3e12,
+                            "upper-frequency": 196.1e12
+                            },
+                        "roadm-pmd": 0,
+                        "roadm-cd": 0,
+                        "roadm-pdl": 0,
+                        "roadm-inband-crosstalk": 0,
+                        "roadm-maxloss": 11.5,
+                        "roadm-minloss": 7.5,
+                        "roadm-typloss": 10,
+                        "roadm-pmin": -13.5,
+                        "roadm-pmax": -9.5,
+                        "roadm-ptyp": -12,
+                        "roadm-osnr": 41,
+                        "roadm-noise-figure": 15
+                    }]
+                }]
+        }, {
+            "target_pch_out_db": -20,
+            "add_drop_osnr": 38,
+            "pmd": 0,
+            "pdl": 0,
+            "restrictions": {
+                "preamp_variety_list": [],
+                "booster_variety_list": []
+            }
+        }
+    ],
+    "SI": [{
             "f_min": 191.3e12,
-            "f_max":196.1e12,
+            "f_max": 196.1e12,
             "baud_rate": 32e9,
             "spacing": 50e9,
             "power_dbm": 0,
-            "power_range_db": [0,0,0.5],
+            "power_range_db": [0, 0, 0.5],
             "roll_off": 0.15,
             "tx_osnr": 100,
             "sys_margins": 0
@@ -105,12 +175,11 @@
       "Transceiver":[
             {
             "type_variety": "vendorA_trx-type1",
-            "frequency":{
+            "frequency": {
                 "min": 191.35e12,
                 "max": 196.1e12
             },
-            "mode":[
-                       {
+            "mode": [{
                     "format": "PS_SP64_1",
                     "baud_rate": 32e9,
                     "OSNR": 11,
@@ -118,9 +187,8 @@
                     "roll_off": 0.15,
                     "tx_osnr": 100,
                     "min_spacing": 50e9,
-                       "cost":1
-                       },
-                       {
+                    "cost": 1
+                }, {
                     "format": "PS_SP64_2",
                     "baud_rate": 64e9,
                     "OSNR": 15,
@@ -128,9 +196,8 @@
                     "roll_off": 0.15,
                     "tx_osnr": 100,
                     "min_spacing": 75e9,
-                       "cost":1                       
-                       },
-                       {
+                    "cost": 1
+                }, {
                     "format": "mode 1",
                     "baud_rate": 32e9,
                     "OSNR": 11,
@@ -138,9 +205,8 @@
                     "roll_off": 0.15,
                     "tx_osnr": 100,
                     "min_spacing": 50e9,
-                       "cost":1
-                       },
-                       {
+                    "cost": 1
+                }, {
                     "format": "mode 2",
                     "baud_rate": 64e9,
                     "OSNR": 15,
@@ -148,18 +214,16 @@
                     "roll_off": 0.15,
                     "tx_osnr": 100,
                     "min_spacing": 75e9,
-                       "cost":1                       
+                    "cost": 1
                 }
             ]
-            },
-            {
+        }, {
             "type_variety": "Voyager_16QAM",
-            "frequency":{
+            "frequency": {
                 "min": 191.35e12,
                 "max": 196.1e12
             },
-            "mode":[
-                       {
+            "mode": [{
                     "format": "16QAM",
                     "baud_rate": 32e9,
                     "OSNR": 19,
@@ -167,18 +231,16 @@
                     "roll_off": 0.15,
                     "tx_osnr": 100,
                     "min_spacing": 50e9,
-                       "cost":1
+                    "cost": 1
                 }
             ]
-            },
-            {
+        }, {
             "type_variety": "Voyager",
-            "frequency":{
+            "frequency": {
                 "min": 191.35e12,
                 "max": 196.1e12
             },
-            "mode":[
-                       {
+            "mode": [{
                     "format": "mode 1",
                     "baud_rate": 32e9,
                     "OSNR": 12,
@@ -186,9 +248,8 @@
                     "roll_off": 0.15,
                     "tx_osnr": 45,
                     "min_spacing": 50e9,
-                       "cost":1
-                       },
-                       {
+                    "cost": 1
+                }, {
                     "format": "mode 3",
                     "baud_rate": 44e9,
                     "OSNR": 18,
@@ -196,9 +257,8 @@
                     "roll_off": 0.15,
                     "tx_osnr": 45,
                     "min_spacing": 62.5e9,
-                       "cost":1
-                       },
-                       {
+                    "cost": 1
+                }, {
                     "format": "mode 2",
                     "baud_rate": 66e9,
                     "OSNR": 21,
@@ -206,9 +266,8 @@
                     "roll_off": 0.15,
                     "tx_osnr": 45,
                     "min_spacing": 75e9,
-                       "cost":1
-                       },
-                       {
+                    "cost": 1
+                }, {
                     "format": "mode 2 - fake",
                     "baud_rate": 66e9,
                     "OSNR": 21,
@@ -216,9 +275,8 @@
                     "roll_off": 0.15,
                     "tx_osnr": 45,
                     "min_spacing": 75e9,
-                       "cost":1
-                       },                       
-                       {
+                    "cost": 1
+                }, {
                     "format": "mode 4",
                     "baud_rate": 66e9,
                     "OSNR": 16,
@@ -226,10 +284,9 @@
                     "roll_off": 0.15,
                     "tx_osnr": 45,
                     "min_spacing": 75e9,
-                       "cost":1
+                    "cost": 1
                 }
             ]
         }
     ]
-
 }

tests/data/eqpt_config_psd.json

@@ -0,0 +1,220 @@
+{
+    "Edfa": [{
+            "type_variety": "CienaDB_medium_gain",
+            "type_def": "advanced_model",
+            "gain_flatmax": 25,
+            "gain_min": 15,
+            "p_max": 21,
+            "advanced_config_from_json": "std_medium_gain_advanced_config.json",
+            "out_voa_auto": false,
+            "allowed_for_design": true
+        }, {
+            "type_variety": "std_medium_gain",
+            "type_def": "variable_gain",
+            "gain_flatmax": 26,
+            "gain_min": 15,
+            "p_max": 21,
+            "nf_min": 6,
+            "nf_max": 10,
+            "out_voa_auto": false,
+            "allowed_for_design": true
+        }, {
+            "type_variety": "std_low_gain",
+            "type_def": "variable_gain",
+            "gain_flatmax": 16,
+            "gain_min": 8,
+            "p_max": 21,
+            "nf_min": 7,
+            "nf_max": 11,
+            "out_voa_auto": false,
+            "allowed_for_design": true
+        }, {
+            "type_variety": "test",
+            "type_def": "variable_gain",
+            "gain_flatmax": 25,
+            "gain_min": 15,
+            "p_max": 21,
+            "nf_min": 5.8,
+            "nf_max": 10,
+            "out_voa_auto": false,
+            "allowed_for_design": true
+        }, {
+            "type_variety": "test_fixed_gain",
+            "type_def": "fixed_gain",
+            "gain_flatmax": 21,
+            "gain_min": 20,
+            "p_max": 21,
+            "nf0": 5,
+            "allowed_for_design": true
+        }, {
+            "type_variety": "std_booster",
+            "type_def": "fixed_gain",
+            "gain_flatmax": 21,
+            "gain_min": 20,
+            "p_max": 21,
+            "nf0": 5,
+            "allowed_for_design": false
+        }
+    ],
+    "Fiber": [{
+            "type_variety": "SSMF",
+            "dispersion": 1.67e-05,
+            "effective_area": 83e-12,
+            "pmd_coef": 1.265e-15
+        }
+    ],
+    "Span": [{
+            "power_mode": true,
+            "delta_power_range_db": [0, 0, 0.5],
+            "max_fiber_lineic_loss_for_raman": 0.25,
+            "target_extended_gain": 2.5,
+            "max_length": 150,
+            "length_units": "km",
+            "max_loss": 28,
+            "padding": 10,
+            "EOL": 0,
+            "con_in": 0,
+            "con_out": 0
+        }
+    ],
+    "Roadm": [{
+            "target_psd_out_mWperGHz": 3.125e-4,
+            "add_drop_osnr": 38,
+            "pmd": 0,
+            "pdl": 0,
+            "restrictions": {
+                "preamp_variety_list": [],
+                "booster_variety_list": []
+            }
+        }
+    ],
+    "SI": [{
+            "f_min": 191.35e12,
+            "f_max": 196.1e12,
+            "baud_rate": 32e9,
+            "spacing": 50e9,
+            "power_dbm": 0,
+            "power_range_db": [0, 0, 0.5],
+            "roll_off": 0.15,
+            "tx_osnr": 100,
+            "sys_margins": 0
+        }
+    ],
+    "Transceiver": [{
+            "type_variety": "vendorA_trx-type1",
+            "frequency": {
+                "min": 191.4e12,
+                "max": 196.1e12
+            },
+            "mode": [{
+                    "format": "PS_SP64_1",
+                    "baud_rate": 32e9,
+                    "OSNR": 11,
+                    "bit_rate": 100e9,
+                    "roll_off": 0.15,
+                    "tx_osnr": 100,
+                    "min_spacing": 50e9,
+                    "cost": 1
+                }, {
+                    "format": "PS_SP64_2",
+                    "baud_rate": 64e9,
+                    "OSNR": 15,
+                    "bit_rate": 200e9,
+                    "roll_off": 0.15,
+                    "tx_osnr": 100,
+                    "min_spacing": 75e9,
+                    "cost": 1
+                }, {
+                    "format": "mode 1",
+                    "baud_rate": 32e9,
+                    "OSNR": 11,
+                    "bit_rate": 100e9,
+                    "roll_off": 0.15,
+                    "tx_osnr": 100,
+                    "min_spacing": 50e9,
+                    "cost": 1
+                }, {
+                    "format": "mode 2",
+                    "baud_rate": 64e9,
+                    "OSNR": 15,
+                    "bit_rate": 200e9,
+                    "roll_off": 0.15,
+                    "tx_osnr": 100,
+                    "min_spacing": 75e9,
+                    "cost": 1
+                }
+            ]
+        }, {
+            "type_variety": "Voyager_16QAM",
+            "frequency": {
+                "min": 191.4e12,
+                "max": 196.1e12
+            },
+            "mode": [{
+                    "format": "16QAM",
+                    "baud_rate": 32e9,
+                    "OSNR": 19,
+                    "bit_rate": 200e9,
+                    "roll_off": 0.15,
+                    "tx_osnr": 100,
+                    "min_spacing": 50e9,
+                    "cost": 1
+                }
+            ]
+        }, {
+            "type_variety": "Voyager",
+            "frequency": {
+                "min": 191.4e12,
+                "max": 196.1e12
+            },
+            "mode": [{
+                    "format": "mode 1",
+                    "baud_rate": 32e9,
+                    "OSNR": 12,
+                    "bit_rate": 100e9,
+                    "roll_off": 0.15,
+                    "tx_osnr": 45,
+                    "min_spacing": 50e9,
+                    "cost": 1
+                }, {
+                    "format": "mode 3",
+                    "baud_rate": 44e9,
+                    "OSNR": 18,
+                    "bit_rate": 300e9,
+                    "roll_off": 0.15,
+                    "tx_osnr": 45,
+                    "min_spacing": 62.5e9,
+                    "cost": 1
+                }, {
+                    "format": "mode 2",
+                    "baud_rate": 66e9,
+                    "OSNR": 21,
+                    "bit_rate": 400e9,
+                    "roll_off": 0.15,
+                    "tx_osnr": 45,
+                    "min_spacing": 75e9,
+                    "cost": 1
+                }, {
+                    "format": "mode 2 - fake",
+                    "baud_rate": 66e9,
+                    "OSNR": 21,
+                    "bit_rate": 400e9,
+                    "roll_off": 0.15,
+                    "tx_osnr": 45,
+                    "min_spacing": 75e9,
+                    "cost": 1
+                }, {
+                    "format": "mode 4",
+                    "baud_rate": 66e9,
+                    "OSNR": 16,
+                    "bit_rate": 200e9,
+                    "roll_off": 0.15,
+                    "tx_osnr": 45,
+                    "min_spacing": 75e9,
+                    "cost": 1
+                }
+            ]
+        }
+    ]
+
+}

tests/data/eqpt_config_psw.json

@@ -0,0 +1,220 @@
+{
+    "Edfa": [{
+            "type_variety": "CienaDB_medium_gain",
+            "type_def": "advanced_model",
+            "gain_flatmax": 25,
+            "gain_min": 15,
+            "p_max": 21,
+            "advanced_config_from_json": "std_medium_gain_advanced_config.json",
+            "out_voa_auto": false,
+            "allowed_for_design": true
+        }, {
+            "type_variety": "std_medium_gain",
+            "type_def": "variable_gain",
+            "gain_flatmax": 26,
+            "gain_min": 15,
+            "p_max": 21,
+            "nf_min": 6,
+            "nf_max": 10,
+            "out_voa_auto": false,
+            "allowed_for_design": true
+        }, {
+            "type_variety": "std_low_gain",
+            "type_def": "variable_gain",
+            "gain_flatmax": 16,
+            "gain_min": 8,
+            "p_max": 21,
+            "nf_min": 7,
+            "nf_max": 11,
+            "out_voa_auto": false,
+            "allowed_for_design": true
+        }, {
+            "type_variety": "test",
+            "type_def": "variable_gain",
+            "gain_flatmax": 25,
+            "gain_min": 15,
+            "p_max": 21,
+            "nf_min": 5.8,
+            "nf_max": 10,
+            "out_voa_auto": false,
+            "allowed_for_design": true
+        }, {
+            "type_variety": "test_fixed_gain",
+            "type_def": "fixed_gain",
+            "gain_flatmax": 21,
+            "gain_min": 20,
+            "p_max": 21,
+            "nf0": 5,
+            "allowed_for_design": true
+        }, {
+            "type_variety": "std_booster",
+            "type_def": "fixed_gain",
+            "gain_flatmax": 21,
+            "gain_min": 20,
+            "p_max": 21,
+            "nf0": 5,
+            "allowed_for_design": false
+        }
+    ],
+    "Fiber": [{
+            "type_variety": "SSMF",
+            "dispersion": 1.67e-05,
+            "effective_area": 83e-12,
+            "pmd_coef": 1.265e-15
+        }
+    ],
+    "Span": [{
+            "power_mode": true,
+            "delta_power_range_db": [0, 0, 0.5],
+            "max_fiber_lineic_loss_for_raman": 0.25,
+            "target_extended_gain": 2.5,
+            "max_length": 150,
+            "length_units": "km",
+            "max_loss": 28,
+            "padding": 10,
+            "EOL": 0,
+            "con_in": 0,
+            "con_out": 0
+        }
+    ],
+    "Roadm": [{
+            "target_out_mWperSlotWidth": 2.0e-4,
+            "add_drop_osnr": 38,
+            "pmd": 0,
+            "pdl": 0,
+            "restrictions": {
+                "preamp_variety_list": [],
+                "booster_variety_list": []
+            }
+        }
+    ],
+    "SI": [{
+            "f_min": 191.35e12,
+            "f_max": 196.1e12,
+            "baud_rate": 32e9,
+            "spacing": 50e9,
+            "power_dbm": 0,
+            "power_range_db": [0, 0, 0.5],
+            "roll_off": 0.15,
+            "tx_osnr": 100,
+            "sys_margins": 0
+        }
+    ],
+    "Transceiver": [{
+            "type_variety": "vendorA_trx-type1",
+            "frequency": {
+                "min": 191.4e12,
+                "max": 196.1e12
+            },
+            "mode": [{
+                    "format": "PS_SP64_1",
+                    "baud_rate": 32e9,
+                    "OSNR": 11,
+                    "bit_rate": 100e9,
+                    "roll_off": 0.15,
+                    "tx_osnr": 100,
+                    "min_spacing": 50e9,
+                    "cost": 1
+                }, {
+                    "format": "PS_SP64_2",
+                    "baud_rate": 64e9,
+                    "OSNR": 15,
+                    "bit_rate": 200e9,
+                    "roll_off": 0.15,
+                    "tx_osnr": 100,
+                    "min_spacing": 75e9,
+                    "cost": 1
+                }, {
+                    "format": "mode 1",
+                    "baud_rate": 32e9,
+                    "OSNR": 11,
+                    "bit_rate": 100e9,
+                    "roll_off": 0.15,
+                    "tx_osnr": 100,
+                    "min_spacing": 50e9,
+                    "cost": 1
+                }, {
+                    "format": "mode 2",
+                    "baud_rate": 64e9,
+                    "OSNR": 15,
+                    "bit_rate": 200e9,
+                    "roll_off": 0.15,
+                    "tx_osnr": 100,
+                    "min_spacing": 75e9,
+                    "cost": 1
+                }
+            ]
+        }, {
+            "type_variety": "Voyager_16QAM",
+            "frequency": {
+                "min": 191.4e12,
+                "max": 196.1e12
+            },
+            "mode": [{
+                    "format": "16QAM",
+                    "baud_rate": 32e9,
+                    "OSNR": 19,
+                    "bit_rate": 200e9,
+                    "roll_off": 0.15,
+                    "tx_osnr": 100,
+                    "min_spacing": 50e9,
+                    "cost": 1
+                }
+            ]
+        }, {
+            "type_variety": "Voyager",
+            "frequency": {
+                "min": 191.4e12,
+                "max": 196.1e12
+            },
+            "mode": [{
+                    "format": "mode 1",
+                    "baud_rate": 32e9,
+                    "OSNR": 12,
+                    "bit_rate": 100e9,
+                    "roll_off": 0.15,
+                    "tx_osnr": 45,
+                    "min_spacing": 50e9,
+                    "cost": 1
+                }, {
+                    "format": "mode 3",
+                    "baud_rate": 44e9,
+                    "OSNR": 18,
+                    "bit_rate": 300e9,
+                    "roll_off": 0.15,
+                    "tx_osnr": 45,
+                    "min_spacing": 62.5e9,
+                    "cost": 1
+                }, {
+                    "format": "mode 2",
+                    "baud_rate": 66e9,
+                    "OSNR": 21,
+                    "bit_rate": 400e9,
+                    "roll_off": 0.15,
+                    "tx_osnr": 45,
+                    "min_spacing": 75e9,
+                    "cost": 1
+                }, {
+                    "format": "mode 2 - fake",
+                    "baud_rate": 66e9,
+                    "OSNR": 21,
+                    "bit_rate": 400e9,
+                    "roll_off": 0.15,
+                    "tx_osnr": 45,
+                    "min_spacing": 75e9,
+                    "cost": 1
+                }, {
+                    "format": "mode 4",
+                    "baud_rate": 66e9,
+                    "OSNR": 16,
+                    "bit_rate": 200e9,
+                    "roll_off": 0.15,
+                    "tx_osnr": 45,
+                    "min_spacing": 75e9,
+                    "cost": 1
+                }
+            ]
+        }
+    ]
+
+}

tests/data/eqpt_config_sweep.json

@@ -0,0 +1,238 @@
+{
+      "Edfa": [{
+                  "type_variety": "CienaDB_medium_gain",
+                  "type_def": "advanced_model",
+                  "gain_flatmax": 25,
+                  "gain_min": 15,
+                  "p_max": 21,
+                  "advanced_config_from_json": "std_medium_gain_advanced_config.json",
+                  "out_voa_auto": false,
+                  "allowed_for_design": true
+            },
+            {
+                  "type_variety": "std_medium_gain",
+                  "type_def": "variable_gain",
+                  "gain_flatmax": 26,
+                  "gain_min": 15,
+                  "p_max": 21,
+                  "nf_min": 6,
+                  "nf_max": 10,
+                  "out_voa_auto": false,
+                  "allowed_for_design": true
+            },
+            {
+                  "type_variety": "std_low_gain",
+                  "type_def": "variable_gain",
+                  "gain_flatmax": 16,
+                  "gain_min": 8,
+                  "p_max": 21,
+                  "nf_min": 7,
+                  "nf_max": 11,
+                  "out_voa_auto": false,
+                  "allowed_for_design": true
+            },
+            {
+                  "type_variety": "test",
+                  "type_def": "variable_gain",
+                  "gain_flatmax": 25,
+                  "gain_min": 15,
+                  "p_max": 21,
+                  "nf_min": 5.8,
+                  "nf_max": 10,
+                  "out_voa_auto": false,
+                  "allowed_for_design": true
+            },
+            {
+                  "type_variety": "test_fixed_gain",
+                  "type_def": "fixed_gain",
+                  "gain_flatmax": 21,
+                  "gain_min": 20,
+                  "p_max": 21,
+                  "nf0": 5,
+                  "allowed_for_design": true
+            },
+            {
+                  "type_variety": "std_booster",
+                  "type_def": "fixed_gain",
+                  "gain_flatmax": 21,
+                  "gain_min": 20,
+                  "p_max": 21,
+                  "nf0": 5,
+                  "allowed_for_design": false
+            }
+      ],
+      "Fiber": [{
+                  "type_variety": "SSMF",
+                  "dispersion": 1.67e-05,
+                  "effective_area": 83e-12,
+                  "pmd_coef": 1.265e-15
+            }
+      ],
+      "Span": [{
+                  "power_mode":true,
+                  "delta_power_range_db": [0,0,0.5],
+                  "max_fiber_lineic_loss_for_raman": 0.25,
+                  "target_extended_gain": 2.5,
+                  "max_length": 150,
+                  "length_units": "km",
+                  "max_loss": 28,
+                  "padding": 10,
+                  "EOL": 0,
+                  "con_in": 0,
+                  "con_out": 0
+            }
+      ],
+      "Roadm": [{
+                  "target_pch_out_db": -20,
+                  "add_drop_osnr": 38,
+                  "pmd": 0,
+                  "pdl": 0,
+                  "restrictions": {
+                                  "preamp_variety_list":[],
+                                  "booster_variety_list":[]
+                  }
+            }
+      ],
+      "SI": [{
+                  "f_min": 191.35e12,
+                  "f_max": 196.1e12,
+                  "baud_rate": 32e9,
+                  "spacing": 50e9,
+                  "power_dbm": 0,
+                  "power_range_db": [-6,0,0.5],
+                  "roll_off": 0.15,
+                  "tx_osnr": 100,
+                  "sys_margins": 0
+            }
+      ],
+      "Transceiver":[
+            {
+            "type_variety": "vendorA_trx-type1",
+            "frequency":{
+                  "min": 191.4e12,
+                  "max": 196.1e12
+            },
+            "mode":[
+                       {
+                             "format": "PS_SP64_1",
+                             "baud_rate": 32e9,
+                             "OSNR": 11,
+                             "bit_rate": 100e9,
+                             "roll_off": 0.15,
+                             "tx_osnr": 100,
+                             "min_spacing": 50e9,
+                             "cost": 1
+                       },
+                       {
+                             "format": "PS_SP64_2",
+                             "baud_rate": 64e9,
+                             "OSNR": 15,
+                             "bit_rate": 200e9,
+                             "roll_off": 0.15,
+                             "tx_osnr": 100,
+                             "min_spacing": 75e9,
+                             "cost": 1
+                       },
+                       {
+                             "format": "mode 1",
+                             "baud_rate": 32e9,
+                             "OSNR": 11,
+                             "bit_rate": 100e9,
+                             "roll_off": 0.15,
+                             "tx_osnr": 100,
+                             "min_spacing": 50e9,
+                             "cost": 1
+                       },
+                       {
+                             "format": "mode 2",
+                             "baud_rate": 64e9,
+                             "OSNR": 15,
+                             "bit_rate": 200e9,
+                             "roll_off": 0.15,
+                             "tx_osnr": 100,
+                             "min_spacing": 75e9,
+                             "cost": 1
+                       }
+                  ]
+            },
+            {
+            "type_variety": "Voyager_16QAM",
+            "frequency": {
+                  "min": 191.4e12,
+                  "max": 196.1e12
+            },
+            "mode": [
+                       {
+                             "format": "16QAM",
+                             "baud_rate": 32e9,
+                             "OSNR": 19,
+                             "bit_rate": 200e9,
+                             "roll_off": 0.15,
+                             "tx_osnr": 100,
+                             "min_spacing": 50e9,
+                             "cost": 1
+                       }
+                  ]
+            },
+            {
+            "type_variety": "Voyager",
+            "frequency": {
+                  "min": 191.4e12,
+                  "max": 196.1e12
+            },
+            "mode": [
+                       {
+                             "format": "mode 1",
+                             "baud_rate": 32e9,
+                             "OSNR": 12,
+                             "bit_rate": 100e9,
+                             "roll_off": 0.15,
+                             "tx_osnr": 45,
+                             "min_spacing": 50e9,
+                             "cost": 1
+                       },
+                       {
+                             "format": "mode 3",
+                             "baud_rate": 44e9,
+                             "OSNR": 18,
+                             "bit_rate": 300e9,
+                             "roll_off": 0.15,
+                             "tx_osnr": 45,
+                             "min_spacing": 62.5e9,
+                             "cost": 1
+                       },
+                       {
+                             "format": "mode 2",
+                             "baud_rate": 66e9,
+                             "OSNR": 21,
+                             "bit_rate": 400e9,
+                             "roll_off": 0.15,
+                             "tx_osnr": 45,
+                             "min_spacing": 75e9,
+                             "cost": 1
+                       },
+                       {
+                             "format": "mode 2 - fake",
+                             "baud_rate": 66e9,
+                             "OSNR": 21,
+                             "bit_rate": 400e9,
+                             "roll_off": 0.15,
+                             "tx_osnr": 45,
+                             "min_spacing": 75e9,
+                             "cost": 1
+                       },
+                       {
+                             "format": "mode 4",
+                             "baud_rate": 66e9,
+                             "OSNR": 16,
+                             "bit_rate": 200e9,
+                             "roll_off": 0.15,
+                             "tx_osnr": 45,
+                             "min_spacing": 75e9,
+                             "cost": 1
+                       }
+                  ]
+            }
+      ]
+
+}

tests/data/perdegreemeshTopologyExampleV2_auto_design_expected.json

@@ -63,6 +63,7 @@
     {
       "uid": "roadm Lannion_CAS",
       "type": "Roadm",
+      "type_variety": "default",
       "params": {
         "target_pch_out_db": -18.6,
         "restrictions": {
@@ -87,6 +88,7 @@
     {
       "uid": "roadm Lorient_KMA",
       "type": "Roadm",
+      "type_variety": "default",
       "params": {
         "target_pch_out_db": -20,
         "restrictions": {
@@ -111,6 +113,7 @@
     {
       "uid": "roadm Vannes_KBE",
       "type": "Roadm",
+      "type_variety": "default",
       "params": {
         "target_pch_out_db": -20,
         "restrictions": {
@@ -134,6 +137,7 @@
     {
       "uid": "roadm Rennes_STA",
       "type": "Roadm",
+      "type_variety": "default",
       "params": {
         "target_pch_out_db": -20,
         "restrictions": {
@@ -157,6 +161,7 @@
     {
       "uid": "roadm Brest_KLA",
       "type": "Roadm",
+      "type_variety": "default",
       "params": {
         "target_pch_out_db": -20,
         "restrictions": {

tests/data/testTopology_auto_design_expected.json

@@ -159,6 +159,7 @@
     {
       "uid": "roadm Lannion_CAS",
       "type": "Roadm",
+      "type_variety": "default",
       "params": {
         "target_pch_out_db": -20,
         "restrictions": {
@@ -183,6 +184,7 @@
     {
       "uid": "roadm Lorient_KMA",
       "type": "Roadm",
+      "type_variety": "default",
       "params": {
         "target_pch_out_db": -20,
         "restrictions": {
@@ -207,6 +209,7 @@
     {
       "uid": "roadm Vannes_KBE",
       "type": "Roadm",
+      "type_variety": "default",
       "params": {
         "target_pch_out_db": -20,
         "restrictions": {
@@ -230,6 +233,7 @@
     {
       "uid": "roadm Rennes_STA",
       "type": "Roadm",
+      "type_variety": "default",
       "params": {
         "target_pch_out_db": -20,
         "restrictions": {
@@ -240,7 +244,6 @@
           "east edfa in Rennes_STA to Stbrieuc": -20,
           "east edfa in Rennes_STA to Ploermel": -20
         }
-
       },
       "metadata": {
         "location": {
@@ -254,6 +257,7 @@
     {
       "uid": "roadm Brest_KLA",
       "type": "Roadm",
+      "type_variety": "default",
       "params": {
         "target_pch_out_db": -20,
         "restrictions": {
@@ -277,6 +281,7 @@
     {
       "uid": "roadm a",
       "type": "Roadm",
+      "type_variety": "default",
       "params": {
         "target_pch_out_db": -20,
         "restrictions": {
@@ -302,6 +307,7 @@
     {
       "uid": "roadm b",
       "type": "Roadm",
+      "type_variety": "default",
       "params": {
         "target_pch_out_db": -20,
         "restrictions": {
@@ -310,7 +316,7 @@
           ],
           "booster_variety_list": []
         },
-        "per_degree_pch_out_db":{
+        "per_degree_pch_out_db": {
           "east edfa in b to a": -20,
           "east edfa in b to f": -20
         }
@@ -327,13 +333,14 @@
     {
       "uid": "roadm c",
       "type": "Roadm",
+      "type_variety": "default",
       "params": {
         "target_pch_out_db": -20,
         "restrictions": {
           "preamp_variety_list": [],
           "booster_variety_list": []
         },
-        "per_degree_pch_out_db":{
+        "per_degree_pch_out_db": {
           "east edfa in c to a": -20,
           "east edfa in c to d": -20,
           "east edfa in c to f": -20
@@ -351,6 +358,7 @@
     {
       "uid": "roadm d",
       "type": "Roadm",
+      "type_variety": "default",
       "params": {
         "target_pch_out_db": -20,
         "restrictions": {
@@ -374,6 +382,7 @@
     {
       "uid": "roadm e",
       "type": "Roadm",
+      "type_variety": "default",
       "params": {
         "target_pch_out_db": -20,
         "restrictions": {
@@ -397,6 +406,7 @@
     {
       "uid": "roadm f",
       "type": "Roadm",
+      "type_variety": "default",
       "params": {
         "target_pch_out_db": -20,
         "restrictions": {
@@ -421,6 +431,7 @@
     {
       "uid": "roadm g",
       "type": "Roadm",
+      "type_variety": "default",
       "params": {
         "target_pch_out_db": -20,
         "restrictions": {
@@ -444,6 +455,7 @@
     {
       "uid": "roadm h",
       "type": "Roadm",
+      "type_variety": "default",
       "params": {
         "target_pch_out_db": -20,
         "restrictions": {
@@ -1593,7 +1605,7 @@
       "type": "Edfa",
       "type_variety": "std_medium_gain",
       "operational": {
-        "gain_target": 18.5,
+        "gain_target": 13.177288,
         "delta_p": null,
         "tilt_target": 0,
         "out_voa": 0
@@ -2235,7 +2247,7 @@
       "type": "Edfa",
       "type_variety": "std_low_gain",
       "operational": {
-        "gain_target": 6.5,
+        "gain_target": 11.822712,
         "delta_p": null,
         "tilt_target": 0,
         "out_voa": 0
@@ -2292,7 +2304,7 @@
       "type": "Edfa",
       "type_variety": "std_low_gain",
       "operational": {
-        "gain_target": 13.82,
+        "gain_target": 13.822712,
         "delta_p": null,
         "tilt_target": 0,
         "out_voa": 0
@@ -2311,7 +2323,7 @@
       "type": "Edfa",
       "type_variety": "test_fixed_gain",
       "operational": {
-        "gain_target": 15.18,
+        "gain_target": 15.177288,
         "delta_p": null,
         "tilt_target": 0,
         "out_voa": 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": 28.77
+            "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",,,
-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",,,
-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",,,
-5,trx Rennes_STA,trx Lannion_CAS,20.0,True,1,1,vendorA_trx-type1,mode 2,30.79,28.77,21.68,64.0,3.0,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",,,
+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]",,,
+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 2,22.27,22.14,15.05,64.0,0.0,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 2,30.79,28.76,21.67,64.0,3.0,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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+            "type_variety": "test",
+            "operational": {
+                "gain_target": 16,
+                "tilt_target": 0
+            },
+            "metadata": {
+                "location": {
+                    "region": "",
+                    "latitude": 2,
+                    "longitude": 0
+                }
+            }
+        },
+        {
+          "uid": "roadm Site B",
+          "metadata": {
+            "location": {
+              "city": "Site B",
+              "region": "RLD",
+              "latitude": 0.0,
+              "longitude": 0.0
+            }
+          },
+          "type": "Roadm"
+        },
+        {
+            "uid": "Site_B",
+            "type": "Transceiver",
+            "metadata": {
+                "location": {
+                    "city": "Site B",
+                    "region": "",
+                    "latitude": 3,
+                    "longitude": 0
+                }
+            }
+        }
+
+    ],
+    "connections": [{
+            "from_node": "Site_A",
+            "to_node": "roadm Site A"
+        },
+        {
+            "from_node": "roadm Site A",
+            "to_node": "booster A"
+        },
+        {
+            "from_node": "booster A",
+            "to_node": "Span1"
+        },
+        {
+            "from_node": "Span1",
+            "to_node": "Edfa1"
+        },
+        {
+            "from_node": "Edfa1",
+            "to_node": "Span2"
+        },
+        {
+            "from_node": "Span2",
+            "to_node": "Edfa2"
+        },       
+        {
+            "from_node": "Edfa2",
+            "to_node": "Span3"
+        },
+        {
+            "from_node": "Span3",
+            "to_node": "Edfa3"
+        },       
+        {
+            "from_node": "Edfa3",
+            "to_node": "Span4"
+        },
+        {
+            "from_node": "Span4",
+            "to_node": "Edfa4"
+        },       
+        {
+            "from_node": "Edfa4",
+            "to_node": "Span5"
+        },
+        {
+            "from_node": "Span5",
+            "to_node": "Edfa5"
+        },       
+        {
+            "from_node": "Edfa5",
+            "to_node": "roadm Site C"
+        },
+        {
+            "from_node": "roadm Site C",
+            "to_node": "booster C"
+        },
+        {
+            "from_node": "booster C",
+            "to_node": "Span6"
+        },
+        {
+            "from_node": "Span6",
+            "to_node": "Edfa6"
+        },
+        {
+            "from_node": "Edfa6",
+            "to_node": "Span7"
+        },
+        {
+            "from_node": "Span7",
+            "to_node": "Edfa7"
+        },       
+        {
+            "from_node": "Edfa7",
+            "to_node": "Span8"
+        },
+        {
+            "from_node": "Span8",
+            "to_node": "Edfa8"
+        },       
+        {
+            "from_node": "Edfa8",
+            "to_node": "Span9"
+        },
+        {
+            "from_node": "Span9",
+            "to_node": "Edfa9"
+        },       
+        {
+            "from_node": "Edfa9",
+            "to_node": "Span10"
+        },
+        {
+            "from_node": "Span10",
+            "to_node": "Edfa10"
+        },       
+        {
+            "from_node": "Edfa10",
+            "to_node": "roadm Site D"
+        },
+        {
+            "from_node": "roadm Site D",
+            "to_node": "booster D"
+        },
+        {
+            "from_node": "booster D",
+            "to_node": "Span11"
+        },
+        {
+            "from_node": "Span11",
+            "to_node": "Edfa11"
+        },
+        {
+            "from_node": "Edfa11",
+            "to_node": "Span12"
+        },
+        {
+            "from_node": "Span12",
+            "to_node": "Edfa12"
+        },       
+        {
+            "from_node": "Edfa12",
+            "to_node": "roadm Site E"
+        },
+        {
+            "from_node": "roadm Site E",
+            "to_node": "booster E"
+        },
+        {
+            "from_node": "booster E",
+            "to_node": "Span13"
+        },
+        {
+            "from_node": "Span13",
+            "to_node": "Edfa13"
+        },       
+        {
+            "from_node": "Edfa13",
+            "to_node": "Span14"
+        },
+        {
+            "from_node": "Span14",
+            "to_node": "Edfa14"
+        },       
+        {
+            "from_node": "Edfa14",
+            "to_node": "Span15"
+        },
+        {
+            "from_node": "Span15",
+            "to_node": "Edfa15"
+        },       
+        {
+            "from_node": "Edfa15",
+            "to_node": "roadm Site B"
+        },
+        {
+            "from_node": "roadm Site B",
+            "to_node": "Site_B"
+        }
+    ]
+}

tests/data/test_lumped_losses_fiber_no_pumps.csv

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tests/data/test_lumped_losses_raman_fiber.csv

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tests/data/test_parameters_fiber_config.json

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+8.634156228069215e-05,1.7266686393258476e-08,7.659672513140668e-08
+8.50043874741986e-05,1.7099693224424935e-08,7.541046895998541e-08
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+8.26484651987276e-05,1.682764479561346e-08,7.33204450340972e-08
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+7.389428911314724e-05,1.57970100612018e-08,6.555429856110159e-08
+7.268136514077581e-05,1.5628904744452727e-08,6.447826980203191e-08
+7.148784598320314e-05,1.5462487634551132e-08,6.341945575654982e-08

tests/invocation/logs_path_request

@@ -0,0 +1,41 @@
+INFO     gnpy.tools.cli_examples:cli_examples.py Computing path requests meshTopologyExampleV2.xls into JSON format
+WARNING  gnpy.tools.json_io:json_io.py 
+	WARNING missing type_variety attribute in eqpt_config.json[Roadm]
+	default value is type_variety = default
+
+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 +1,17 @@
+INFO     gnpy.tools.cli_examples:cli_examples.py Computing path requests CORONET_services.json into JSON format
+WARNING  gnpy.tools.json_io:json_io.py 
+	WARNING missing type_variety attribute in eqpt_config.json[Roadm]
+	default value is type_variety = default
+
+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_power_sweep_example

@@ -0,0 +1,311 @@
+WARNING  gnpy.tools.json_io:json_io.py 
+	WARNING missing type_variety attribute in eqpt_config.json[Roadm]
+	default value is type_variety = default
+
+INFO     gnpy.tools.cli_examples:cli_examples.py source = 'brest'
+INFO     gnpy.tools.cli_examples:cli_examples.py destination = 'rennes'
+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 -1.78 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: 21.22dB. 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 -1.78 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: 21.22dB. 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 -1.78 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 -1.78 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: 28.0dB. 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 -1.78 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 -1.78 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 -1.78 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 -1.78 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 -1.78 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 -1.78 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 -1.78 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 -1.78 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 -1.78 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 -1.78 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 -1.78 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 -1.78 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 -1.78 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 -1.78 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 -1.78 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 -1.78 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: 21.22dB. 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 -1.78 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 -1.78 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 -1.78 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 -1.78 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 -1.78 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 -1.78 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 -1.78 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 -1.78 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 -1.78 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 -1.78 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 -1.78 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 -1.78 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 -1.78 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 -1.78 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 -1.78 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 -1.78 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 -1.78 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 -1.78 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 -1.78 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 -1.78 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 -1.78 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 -1.78 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 -1.78 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 -1.78 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 -1.78 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 -1.78 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 -1.78 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 -1.78 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 -1.78 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 -1.78 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 -1.78 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 -1.78 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 -1.78 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 -1.78 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 -1.78 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 -1.78 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 -1.78 is applied
+

tests/invocation/logs_transmission_saturated

@@ -0,0 +1,311 @@
+WARNING  gnpy.tools.json_io:json_io.py 
+	WARNING missing type_variety attribute in eqpt_config.json[Roadm]
+	default value is type_variety = default
+
+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: 21.18dB. 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: 21.18dB. 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: 28.0dB. 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: 21.18dB. 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

@@ -15,9 +15,14 @@ Transceiver trx_Stockholm
   CD (ps/nm):                0.00
   PMD (ps):                  0.00
   PDL (dB):                  0.00
+  Latency (ms):              0.00
+  Actual pch out (dBm):      2.00
 Roadm roadm_Stockholm
-  effective loss (dB):  22.00
-  pch out (dBm):        -20.00
+  Type_variety:            default
+  Reference loss (dB):     22.00
+  Actual loss (dB):        22.00
+  Reference pch out (dBm): -20.00
+  Actual pch out (dBm):    -20.00
 Edfa Edfa_booster_roadm_Stockholm_to_fiber (Stockholm → Norrköping)_(1/2)
   type_variety:           openroadm_mw_mw_booster
   effective gain(dB):     22.00
@@ -29,7 +34,7 @@ Edfa Edfa_booster_roadm_Stockholm_to_fiber (Stockholm → Norrköping)_(1/2)
   Power Out (dBm):        21.82
   Delta_P (dB):           0.00
   target pch (dBm):       2.00
-  effective pch (dBm):    2.00
+  actual pch out (dBm):   2.00
   output VOA (dB):        0.00
 Fiber          fiber (Stockholm → Norrköping)_(1/2)
   type_variety:                SSMF
@@ -38,7 +43,8 @@ Fiber          fiber (Stockholm → Norrköping)_(1/2)
   total loss (dB):             16.33
   (includes conn loss (dB) in: 0.00 out: 0.00)
   (conn loss out includes EOL margin defined in eqpt_config.json)
-  pch out (dBm): -14.33
+  reference pch out (dBm):     -14.33
+  actual pch out (dBm):        -14.31
 Edfa Edfa_fiber (Stockholm → Norrköping)_(1/2)
   type_variety:           openroadm_ila_low_noise
   effective gain(dB):     16.33
@@ -50,7 +56,7 @@ Edfa Edfa_fiber (Stockholm → Norrköping)_(1/2)
   Power Out (dBm):        21.84
   Delta_P (dB):           0.00
   target pch (dBm):       2.00
-  effective pch (dBm):    2.00
+  actual pch out (dBm):   2.01
   output VOA (dB):        0.00
 Fiber          fiber (Stockholm → Norrköping)_(2/2)
   type_variety:                SSMF
@@ -59,7 +65,8 @@ Fiber          fiber (Stockholm → Norrköping)_(2/2)
   total loss (dB):             16.33
   (includes conn loss (dB) in: 0.00 out: 0.00)
   (conn loss out includes EOL margin defined in eqpt_config.json)
-  pch out (dBm): -14.33
+  reference pch out (dBm):     -14.33
+  actual pch out (dBm):        -14.30
 Edfa Edfa_preamp_roadm_Norrköping_from_fiber (Stockholm → Norrköping)_(2/2)
   type_variety:           openroadm_mw_mw_preamp
   effective gain(dB):     16.33
@@ -67,15 +74,18 @@ Edfa Edfa_preamp_roadm_Norrköping_from_fiber (Stockholm → Norrköping)_(2/2)
   noise figure (dB):      12.59
   (including att_in)
   pad att_in (dB):        0.00
-  Power In (dBm):         5.53
-  Power Out (dBm):        21.87
+  Power In (dBm):         5.52
+  Power Out (dBm):        21.86
   Delta_P (dB):           0.00
   target pch (dBm):       2.00
-  effective pch (dBm):    2.00
+  actual pch out (dBm):   2.03
   output VOA (dB):        0.00
 Roadm roadm_Norrköping
-  effective loss (dB):  22.00
-  pch out (dBm):        -20.00
+  Type_variety:            default
+  Reference loss (dB):     22.00
+  Actual loss (dB):        22.03
+  Reference pch out (dBm): -20.00
+  Actual pch out (dBm):    -20.00
 Edfa Edfa_booster_roadm_Norrköping_to_fiber (Norrköping → Linköping)
   type_variety:           openroadm_mw_mw_booster
   effective gain(dB):     22.00
@@ -87,7 +97,7 @@ Edfa Edfa_booster_roadm_Norrköping_to_fiber (Norrköping → Linköping)
   Power Out (dBm):        21.82
   Delta_P (dB):           0.00
   target pch (dBm):       2.00
-  effective pch (dBm):    2.00
+  actual pch out (dBm):   2.00
   output VOA (dB):        0.00
 Fiber          fiber (Norrköping → Linköping)
   type_variety:                SSMF
@@ -96,7 +106,8 @@ Fiber          fiber (Norrköping → Linköping)
   total loss (dB):             11.00
   (includes conn loss (dB) in: 0.00 out: 0.00)
   (conn loss out includes EOL margin defined in eqpt_config.json)
-  pch out (dBm): -9.00
+  reference pch out (dBm):     -9.00
+  actual pch out (dBm):        -9.00
 Edfa Edfa_preamp_roadm_Linköping_from_fiber (Norrköping → Linköping)
   type_variety:           openroadm_mw_mw_preamp
   effective gain(dB):     11.00
@@ -108,11 +119,14 @@ Edfa Edfa_preamp_roadm_Linköping_from_fiber (Norrköping → Linköping)
   Power Out (dBm):        21.83
   Delta_P (dB):           0.00
   target pch (dBm):       2.00
-  effective pch (dBm):    2.00
+  actual pch out (dBm):   2.01
   output VOA (dB):        0.00
 Roadm roadm_Linköping
-  effective loss (dB):  22.00
-  pch out (dBm):        -20.00
+  Type_variety:            default
+  Reference loss (dB):     22.00
+  Actual loss (dB):        22.01
+  Reference pch out (dBm): -20.00
+  Actual pch out (dBm):    -20.00
 Edfa Edfa_booster_roadm_Linköping_to_fiber (Linköping → Jönköping)
   type_variety:           openroadm_mw_mw_booster
   effective gain(dB):     22.00
@@ -124,7 +138,7 @@ Edfa Edfa_booster_roadm_Linköping_to_fiber (Linköping → Jönköping)
   Power Out (dBm):        21.82
   Delta_P (dB):           0.00
   target pch (dBm):       2.00
-  effective pch (dBm):    2.00
+  actual pch out (dBm):   2.00
   output VOA (dB):        0.00
 Fiber          fiber (Linköping → Jönköping)
   type_variety:                SSMF
@@ -133,7 +147,8 @@ Fiber          fiber (Linköping → Jönköping)
   total loss (dB):             26.80
   (includes conn loss (dB) in: 0.00 out: 0.00)
   (conn loss out includes EOL margin defined in eqpt_config.json)
-  pch out (dBm): -24.80
+  reference pch out (dBm):     -24.80
+  actual pch out (dBm):        -24.79
 Edfa Edfa_preamp_roadm_Jönköping_from_fiber (Linköping → Jönköping)
   type_variety:           openroadm_mw_mw_preamp
   effective gain(dB):     26.80
@@ -142,14 +157,17 @@ Edfa Edfa_preamp_roadm_Jönköping_from_fiber (Linköping → Jönköping)
   (including att_in)
   pad att_in (dB):        0.00
   Power In (dBm):         -4.97
-  Power Out (dBm):        21.86
+  Power Out (dBm):        21.87
   Delta_P (dB):           0.00
   target pch (dBm):       2.00
-  effective pch (dBm):    2.00
+  actual pch out (dBm):   2.05
   output VOA (dB):        0.00
 Roadm roadm_Jönköping
-  effective loss (dB):  22.00
-  pch out (dBm):        -20.00
+  Type_variety:            default
+  Reference loss (dB):     22.00
+  Actual loss (dB):        22.05
+  Reference pch out (dBm): -20.00
+  Actual pch out (dBm):    -20.00
 Edfa Edfa_booster_roadm_Jönköping_to_fiber (Jönköping → Borås)
   type_variety:           openroadm_mw_mw_booster
   effective gain(dB):     22.00
@@ -161,7 +179,7 @@ Edfa Edfa_booster_roadm_Jönköping_to_fiber (Jönköping → Borås)
   Power Out (dBm):        21.82
   Delta_P (dB):           0.00
   target pch (dBm):       2.00
-  effective pch (dBm):    2.00
+  actual pch out (dBm):   2.00
   output VOA (dB):        0.00
 Fiber          fiber (Jönköping → Borås)
   type_variety:                SSMF
@@ -170,7 +188,8 @@ Fiber          fiber (Jönköping → Borås)
   total loss (dB):             17.82
   (includes conn loss (dB) in: 0.00 out: 0.00)
   (conn loss out includes EOL margin defined in eqpt_config.json)
-  pch out (dBm): -15.82
+  reference pch out (dBm):     -15.82
+  actual pch out (dBm):        -15.81
 Edfa Edfa_preamp_roadm_Borås_from_fiber (Jönköping → Borås)
   type_variety:           openroadm_mw_mw_preamp
   effective gain(dB):     17.82
@@ -182,11 +201,14 @@ Edfa Edfa_preamp_roadm_Borås_from_fiber (Jönköping → Borås)
   Power Out (dBm):        21.84
   Delta_P (dB):           0.00
   target pch (dBm):       2.00
-  effective pch (dBm):    2.00
+  actual pch out (dBm):   2.02
   output VOA (dB):        0.00
 Roadm roadm_Borås
-  effective loss (dB):  22.00
-  pch out (dBm):        -20.00
+  Type_variety:            default
+  Reference loss (dB):     22.00
+  Actual loss (dB):        22.02
+  Reference pch out (dBm): -20.00
+  Actual pch out (dBm):    -20.00
 Edfa Edfa_booster_roadm_Borås_to_fiber (Borås → Gothenburg)
   type_variety:           openroadm_mw_mw_booster
   effective gain(dB):     22.00
@@ -198,7 +220,7 @@ Edfa Edfa_booster_roadm_Borås_to_fiber (Borås → Gothenburg)
   Power Out (dBm):        21.82
   Delta_P (dB):           0.00
   target pch (dBm):       2.00
-  effective pch (dBm):    2.00
+  actual pch out (dBm):   2.00
   output VOA (dB):        0.00
 Fiber          fiber (Borås → Gothenburg)
   type_variety:                SSMF
@@ -207,7 +229,8 @@ Fiber          fiber (Borås → Gothenburg)
   total loss (dB):             13.53
   (includes conn loss (dB) in: 0.00 out: 0.00)
   (conn loss out includes EOL margin defined in eqpt_config.json)
-  pch out (dBm): -11.53
+  reference pch out (dBm):     -11.53
+  actual pch out (dBm):        -11.52
 Edfa Edfa_preamp_roadm_Gothenburg_from_fiber (Borås → Gothenburg)
   type_variety:           openroadm_mw_mw_preamp
   effective gain(dB):     13.53
@@ -219,22 +242,27 @@ Edfa Edfa_preamp_roadm_Gothenburg_from_fiber (Borås → Gothenburg)
   Power Out (dBm):        21.84
   Delta_P (dB):           0.00
   target pch (dBm):       2.00
-  effective pch (dBm):    2.00
+  actual pch out (dBm):   2.02
   output VOA (dB):        0.00
 Roadm roadm_Gothenburg
-  effective loss (dB):  22.00
-  pch out (dBm):        -20.00
+  Type_variety:            default
+  Reference loss (dB):     22.00
+  Actual loss (dB):        22.02
+  Reference pch out (dBm): -20.00
+  Actual pch out (dBm):    -20.00
 Transceiver trx_Gothenburg
-  GSNR (0.1nm, dB):          18.90
-  GSNR (signal bw, dB):      14.88
+  GSNR (0.1nm, dB):          18.89
+  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
+  Actual pch out (dBm):      2.00
 
 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

@@ -15,9 +15,14 @@ Transceiver trx_Stockholm
   CD (ps/nm):                0.00
   PMD (ps):                  0.00
   PDL (dB):                  0.00
+  Latency (ms):              0.00
+  Actual pch out (dBm):      2.00
 Roadm roadm_Stockholm
-  effective loss (dB):  22.00
-  pch out (dBm):        -20.00
+  Type_variety:            default
+  Reference loss (dB):     22.00
+  Actual loss (dB):        22.00
+  Reference pch out (dBm): -20.00
+  Actual pch out (dBm):    -20.00
 Edfa Edfa_booster_roadm_Stockholm_to_fiber (Stockholm → Norrköping)_(1/2)
   type_variety:           openroadm_mw_mw_booster
   effective gain(dB):     22.00
@@ -29,7 +34,7 @@ Edfa Edfa_booster_roadm_Stockholm_to_fiber (Stockholm → Norrköping)_(1/2)
   Power Out (dBm):        21.82
   Delta_P (dB):           0.00
   target pch (dBm):       2.00
-  effective pch (dBm):    2.00
+  actual pch out (dBm):   2.00
   output VOA (dB):        0.00
 Fiber          fiber (Stockholm → Norrköping)_(1/2)
   type_variety:                SSMF
@@ -38,7 +43,8 @@ Fiber          fiber (Stockholm → Norrköping)_(1/2)
   total loss (dB):             16.33
   (includes conn loss (dB) in: 0.00 out: 0.00)
   (conn loss out includes EOL margin defined in eqpt_config.json)
-  pch out (dBm): -14.33
+  reference pch out (dBm):     -14.33
+  actual pch out (dBm):        -14.31
 Edfa Edfa_fiber (Stockholm → Norrköping)_(1/2)
   type_variety:           openroadm_ila_low_noise
   effective gain(dB):     16.33
@@ -50,7 +56,7 @@ Edfa Edfa_fiber (Stockholm → Norrköping)_(1/2)
   Power Out (dBm):        21.84
   Delta_P (dB):           0.00
   target pch (dBm):       2.00
-  effective pch (dBm):    2.00
+  actual pch out (dBm):   2.01
   output VOA (dB):        0.00
 Fiber          fiber (Stockholm → Norrköping)_(2/2)
   type_variety:                SSMF
@@ -59,23 +65,27 @@ Fiber          fiber (Stockholm → Norrköping)_(2/2)
   total loss (dB):             16.33
   (includes conn loss (dB) in: 0.00 out: 0.00)
   (conn loss out includes EOL margin defined in eqpt_config.json)
-  pch out (dBm): -14.33
+  reference pch out (dBm):     -14.33
+  actual pch out (dBm):        -14.30
 Edfa Edfa_preamp_roadm_Norrköping_from_fiber (Stockholm → Norrköping)_(2/2)
   type_variety:           openroadm_mw_mw_preamp_worstcase_ver5
   effective gain(dB):     16.33
   (before att_in and before output VOA)
-  noise figure (dB):      11.44
+  noise figure (dB):      11.43
   (including att_in)
   pad att_in (dB):        0.00
-  Power In (dBm):         5.53
-  Power Out (dBm):        21.86
+  Power In (dBm):         5.52
+  Power Out (dBm):        21.85
   Delta_P (dB):           0.00
   target pch (dBm):       2.00
-  effective pch (dBm):    2.00
+  actual pch out (dBm):   2.03
   output VOA (dB):        0.00
 Roadm roadm_Norrköping
-  effective loss (dB):  22.00
-  pch out (dBm):        -20.00
+  Type_variety:            default
+  Reference loss (dB):     22.00
+  Actual loss (dB):        22.03
+  Reference pch out (dBm): -20.00
+  Actual pch out (dBm):    -20.00
 Edfa Edfa_booster_roadm_Norrköping_to_fiber (Norrköping → Linköping)
   type_variety:           openroadm_mw_mw_booster
   effective gain(dB):     22.00
@@ -87,7 +97,7 @@ Edfa Edfa_booster_roadm_Norrköping_to_fiber (Norrköping → Linköping)
   Power Out (dBm):        21.82
   Delta_P (dB):           0.00
   target pch (dBm):       2.00
-  effective pch (dBm):    2.00
+  actual pch out (dBm):   2.00
   output VOA (dB):        0.00
 Fiber          fiber (Norrköping → Linköping)
   type_variety:                SSMF
@@ -96,7 +106,8 @@ Fiber          fiber (Norrköping → Linköping)
   total loss (dB):             11.00
   (includes conn loss (dB) in: 0.00 out: 0.00)
   (conn loss out includes EOL margin defined in eqpt_config.json)
-  pch out (dBm): -9.00
+  reference pch out (dBm):     -9.00
+  actual pch out (dBm):        -9.00
 Edfa Edfa_preamp_roadm_Linköping_from_fiber (Norrköping → Linköping)
   type_variety:           openroadm_mw_mw_preamp_worstcase_ver5
   effective gain(dB):     11.00
@@ -108,11 +119,14 @@ Edfa Edfa_preamp_roadm_Linköping_from_fiber (Norrköping → Linköping)
   Power Out (dBm):        21.83
   Delta_P (dB):           0.00
   target pch (dBm):       2.00
-  effective pch (dBm):    2.00
+  actual pch out (dBm):   2.01
   output VOA (dB):        0.00
 Roadm roadm_Linköping
-  effective loss (dB):  22.00
-  pch out (dBm):        -20.00
+  Type_variety:            default
+  Reference loss (dB):     22.00
+  Actual loss (dB):        22.01
+  Reference pch out (dBm): -20.00
+  Actual pch out (dBm):    -20.00
 Edfa Edfa_booster_roadm_Linköping_to_fiber (Linköping → Jönköping)
   type_variety:           openroadm_mw_mw_booster
   effective gain(dB):     22.00
@@ -124,7 +138,7 @@ Edfa Edfa_booster_roadm_Linköping_to_fiber (Linköping → Jönköping)
   Power Out (dBm):        21.82
   Delta_P (dB):           0.00
   target pch (dBm):       2.00
-  effective pch (dBm):    2.00
+  actual pch out (dBm):   2.00
   output VOA (dB):        0.00
 Fiber          fiber (Linköping → Jönköping)
   type_variety:                SSMF
@@ -133,7 +147,8 @@ Fiber          fiber (Linköping → Jönköping)
   total loss (dB):             26.80
   (includes conn loss (dB) in: 0.00 out: 0.00)
   (conn loss out includes EOL margin defined in eqpt_config.json)
-  pch out (dBm): -24.80
+  reference pch out (dBm):     -24.80
+  actual pch out (dBm):        -24.79
 Edfa Edfa_preamp_roadm_Jönköping_from_fiber (Linköping → Jönköping)
   type_variety:           openroadm_mw_mw_preamp_worstcase_ver5
   effective gain(dB):     26.80
@@ -142,14 +157,17 @@ Edfa Edfa_preamp_roadm_Jönköping_from_fiber (Linköping → Jönköping)
   (including att_in)
   pad att_in (dB):        0.00
   Power In (dBm):         -4.97
-  Power Out (dBm):        21.86
+  Power Out (dBm):        21.87
   Delta_P (dB):           0.00
   target pch (dBm):       2.00
-  effective pch (dBm):    2.00
+  actual pch out (dBm):   2.04
   output VOA (dB):        0.00
 Roadm roadm_Jönköping
-  effective loss (dB):  22.00
-  pch out (dBm):        -20.00
+  Type_variety:            default
+  Reference loss (dB):     22.00
+  Actual loss (dB):        22.04
+  Reference pch out (dBm): -20.00
+  Actual pch out (dBm):    -20.00
 Edfa Edfa_booster_roadm_Jönköping_to_fiber (Jönköping → Borås)
   type_variety:           openroadm_mw_mw_booster
   effective gain(dB):     22.00
@@ -161,7 +179,7 @@ Edfa Edfa_booster_roadm_Jönköping_to_fiber (Jönköping → Borås)
   Power Out (dBm):        21.82
   Delta_P (dB):           0.00
   target pch (dBm):       2.00
-  effective pch (dBm):    2.00
+  actual pch out (dBm):   2.00
   output VOA (dB):        0.00
 Fiber          fiber (Jönköping → Borås)
   type_variety:                SSMF
@@ -170,7 +188,8 @@ Fiber          fiber (Jönköping → Borås)
   total loss (dB):             17.82
   (includes conn loss (dB) in: 0.00 out: 0.00)
   (conn loss out includes EOL margin defined in eqpt_config.json)
-  pch out (dBm): -15.82
+  reference pch out (dBm):     -15.82
+  actual pch out (dBm):        -15.81
 Edfa Edfa_preamp_roadm_Borås_from_fiber (Jönköping → Borås)
   type_variety:           openroadm_mw_mw_preamp_worstcase_ver5
   effective gain(dB):     17.82
@@ -182,11 +201,14 @@ Edfa Edfa_preamp_roadm_Borås_from_fiber (Jönköping → Borås)
   Power Out (dBm):        21.84
   Delta_P (dB):           0.00
   target pch (dBm):       2.00
-  effective pch (dBm):    2.00
+  actual pch out (dBm):   2.02
   output VOA (dB):        0.00
 Roadm roadm_Borås
-  effective loss (dB):  22.00
-  pch out (dBm):        -20.00
+  Type_variety:            default
+  Reference loss (dB):     22.00
+  Actual loss (dB):        22.02
+  Reference pch out (dBm): -20.00
+  Actual pch out (dBm):    -20.00
 Edfa Edfa_booster_roadm_Borås_to_fiber (Borås → Gothenburg)
   type_variety:           openroadm_mw_mw_booster
   effective gain(dB):     22.00
@@ -198,7 +220,7 @@ Edfa Edfa_booster_roadm_Borås_to_fiber (Borås → Gothenburg)
   Power Out (dBm):        21.82
   Delta_P (dB):           0.00
   target pch (dBm):       2.00
-  effective pch (dBm):    2.00
+  actual pch out (dBm):   2.00
   output VOA (dB):        0.00
 Fiber          fiber (Borås → Gothenburg)
   type_variety:                SSMF
@@ -207,7 +229,8 @@ Fiber          fiber (Borås → Gothenburg)
   total loss (dB):             13.53
   (includes conn loss (dB) in: 0.00 out: 0.00)
   (conn loss out includes EOL margin defined in eqpt_config.json)
-  pch out (dBm): -11.53
+  reference pch out (dBm):     -11.53
+  actual pch out (dBm):        -11.52
 Edfa Edfa_preamp_roadm_Gothenburg_from_fiber (Borås → Gothenburg)
   type_variety:           openroadm_mw_mw_preamp_worstcase_ver5
   effective gain(dB):     13.53
@@ -219,22 +242,27 @@ Edfa Edfa_preamp_roadm_Gothenburg_from_fiber (Borås → Gothenburg)
   Power Out (dBm):        21.84
   Delta_P (dB):           0.00
   target pch (dBm):       2.00
-  effective pch (dBm):    2.00
+  actual pch out (dBm):   2.02
   output VOA (dB):        0.00
 Roadm roadm_Gothenburg
-  effective loss (dB):  22.00
-  pch out (dBm):        -20.00
+  Type_variety:            default
+  Reference loss (dB):     22.00
+  Actual loss (dB):        22.02
+  Reference pch out (dBm): -20.00
+  Actual pch out (dBm):    -20.00
 Transceiver trx_Gothenburg
-  GSNR (0.1nm, dB):          19.27
-  GSNR (signal bw, dB):      15.24
+  GSNR (0.1nm, dB):          19.25
+  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
+  Actual pch out (dBm):      2.00
 
 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

@@ -21,6 +21,7 @@
 	bit_rate:	None Gb/s
 	spacing:	50.0 GHz
 	power:  	1.0 dBm
+	tx_power_dbm:  	0.0 dBm
 	nb channels: 	80
 	path_bandwidth: 	100.0 Gbit/s
 	nodes-list:	[]
@@ -34,6 +35,7 @@
 	bit_rate:	100.0 Gb/s
 	spacing:	50.0 GHz
 	power:  	1.0 dBm
+	tx_power_dbm:  	0.0 dBm
 	nb channels: 	95
 	path_bandwidth: 	200.0 Gbit/s
 	nodes-list:	['roadm Brest_KLA', 'roadm Lannion_CAS', 'roadm Lorient_KMA', 'roadm Vannes_KBE']
@@ -47,6 +49,7 @@
 	bit_rate:	100.0 Gb/s
 	spacing:	50.0 GHz
 	power:  	0.0 dBm
+	tx_power_dbm:  	0.0 dBm
 	nb channels: 	95
 	path_bandwidth: 	60.0 Gbit/s
 	nodes-list:	[]
@@ -60,6 +63,7 @@
 	bit_rate:	None Gb/s
 	spacing:	75.0 GHz
 	power:  	3.0 dBm
+	tx_power_dbm:  	0.0 dBm
 	nb channels: 	63
 	path_bandwidth: 	150.0 Gbit/s
 	nodes-list:	[]
@@ -73,6 +77,7 @@
 	bit_rate:	200.0 Gb/s
 	spacing:	75.0 GHz
 	power:  	3.0 dBm
+	tx_power_dbm:  	0.0 dBm
 	nb channels: 	63
 	path_bandwidth: 	20.0 Gbit/s
 	nodes-list:	[]
@@ -86,6 +91,7 @@
 	bit_rate:	100.0 Gb/s
 	spacing:	50.0 GHz
 	power:  	0.0 dBm
+	tx_power_dbm:  	0.0 dBm
 	nb channels: 	76
 	path_bandwidth: 	700.0 Gbit/s
 	nodes-list:	[]
@@ -99,6 +105,7 @@
 	bit_rate:	100.0 Gb/s
 	spacing:	75.0 GHz
 	power:  	0.0 dBm
+	tx_power_dbm:  	0.0 dBm
 	nb channels: 	50
 	path_bandwidth: 	400.0 Gbit/s
 	nodes-list:	[]
@@ -106,48 +113,13 @@
 ]
 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)        
-1       trx Brest_KLA to trx Vannes_KBE :               17.75                    21.83                      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)        
-4       trx Rennes_STA to trx Lannion_CAS :             16.07                    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)        
-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)        
+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 :               17.74                    21.82                      14                     mode 1                   200.0                      2                   ([-272],[8])      
+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])      
+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])      
+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 +1,25 @@
+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
+	tx_power_dbm:  	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/power_sweep_example

@@ -0,0 +1,167 @@
+There are 95 channels propagating
+Power mode is set to True
+=> it can be modified in eqpt_config.json - Span
+
+There are 4 fiber spans over 200 km between trx Brest_KLA and trx Rennes_STA
+
+Now propagating between trx Brest_KLA and trx Rennes_STA:
+
+Propagating with input power = -3.00 dBm:
+Transceiver trx Rennes_STA
+  GSNR (0.1nm, dB):          23.73
+  GSNR (signal bw, dB):      19.65
+  OSNR ASE (0.1nm, dB):      23.99
+  OSNR ASE (signal bw, dB):  19.91
+  CD (ps/nm):                3340.00
+  PMD (ps):                  0.57
+  PDL (dB):                  0.00
+  Latency (ms):              0.98
+  Actual pch out (dBm):      3.00
+
+Propagating with input power = -2.50 dBm:
+Transceiver trx Rennes_STA
+  GSNR (0.1nm, dB):          24.01
+  GSNR (signal bw, dB):      19.93
+  OSNR ASE (0.1nm, dB):      24.37
+  OSNR ASE (signal bw, dB):  20.29
+  CD (ps/nm):                3340.00
+  PMD (ps):                  0.57
+  PDL (dB):                  0.00
+  Latency (ms):              0.98
+  Actual pch out (dBm):      3.00
+
+Propagating with input power = -2.00 dBm:
+Transceiver trx Rennes_STA
+  GSNR (0.1nm, dB):          24.25
+  GSNR (signal bw, dB):      20.17
+  OSNR ASE (0.1nm, dB):      24.74
+  OSNR ASE (signal bw, dB):  20.66
+  CD (ps/nm):                3340.00
+  PMD (ps):                  0.57
+  PDL (dB):                  0.00
+  Latency (ms):              0.98
+  Actual pch out (dBm):      3.00
+
+Propagating with input power = -1.50 dBm:
+Transceiver trx Rennes_STA
+  GSNR (0.1nm, dB):          24.44
+  GSNR (signal bw, dB):      20.36
+  OSNR ASE (0.1nm, dB):      25.10
+  OSNR ASE (signal bw, dB):  21.01
+  CD (ps/nm):                3340.00
+  PMD (ps):                  0.57
+  PDL (dB):                  0.00
+  Latency (ms):              0.98
+  Actual pch out (dBm):      3.00
+
+Propagating with input power = -1.00 dBm:
+Transceiver trx Rennes_STA
+  GSNR (0.1nm, dB):          24.57
+  GSNR (signal bw, dB):      20.49
+  OSNR ASE (0.1nm, dB):      25.44
+  OSNR ASE (signal bw, dB):  21.36
+  CD (ps/nm):                3340.00
+  PMD (ps):                  0.57
+  PDL (dB):                  0.00
+  Latency (ms):              0.98
+  Actual pch out (dBm):      3.00
+
+Propagating with input power = -0.50 dBm:
+Transceiver trx Rennes_STA
+  GSNR (0.1nm, dB):          24.63
+  GSNR (signal bw, dB):      20.55
+  OSNR ASE (0.1nm, dB):      25.77
+  OSNR ASE (signal bw, dB):  21.69
+  CD (ps/nm):                3340.00
+  PMD (ps):                  0.57
+  PDL (dB):                  0.00
+  Latency (ms):              0.98
+  Actual pch out (dBm):      3.00
+
+Propagating with input power = -0.00 dBm:
+Transceiver trx Rennes_STA
+  GSNR (0.1nm, dB):          24.60
+  GSNR (signal bw, dB):      20.52
+  OSNR ASE (0.1nm, dB):      26.09
+  OSNR ASE (signal bw, dB):  22.00
+  CD (ps/nm):                3340.00
+  PMD (ps):                  0.57
+  PDL (dB):                  0.00
+  Latency (ms):              0.98
+  Actual pch out (dBm):      3.00
+
+Propagating with input power = 0.50 dBm:
+Transceiver trx Rennes_STA
+  GSNR (0.1nm, dB):          24.42
+  GSNR (signal bw, dB):      20.34
+  OSNR ASE (0.1nm, dB):      26.29
+  OSNR ASE (signal bw, dB):  22.20
+  CD (ps/nm):                3340.00
+  PMD (ps):                  0.57
+  PDL (dB):                  0.00
+  Latency (ms):              0.98
+  Actual pch out (dBm):      3.00
+
+Propagating with input power = 1.00 dBm:
+Transceiver trx Rennes_STA
+  GSNR (0.1nm, dB):          24.16
+  GSNR (signal bw, dB):      20.08
+  OSNR ASE (0.1nm, dB):      26.47
+  OSNR ASE (signal bw, dB):  22.39
+  CD (ps/nm):                3340.00
+  PMD (ps):                  0.57
+  PDL (dB):                  0.00
+  Latency (ms):              0.98
+  Actual pch out (dBm):      3.00
+
+Propagating with input power = 1.50 dBm:
+Transceiver trx Rennes_STA
+  GSNR (0.1nm, dB):          24.02
+  GSNR (signal bw, dB):      19.93
+  OSNR ASE (0.1nm, dB):      26.55
+  OSNR ASE (signal bw, dB):  22.47
+  CD (ps/nm):                3340.00
+  PMD (ps):                  0.57
+  PDL (dB):                  0.00
+  Latency (ms):              0.98
+  Actual pch out (dBm):      3.00
+
+Propagating with input power = 2.00 dBm:
+Transceiver trx Rennes_STA
+  GSNR (0.1nm, dB):          24.02
+  GSNR (signal bw, dB):      19.93
+  OSNR ASE (0.1nm, dB):      26.55
+  OSNR ASE (signal bw, dB):  22.47
+  CD (ps/nm):                3340.00
+  PMD (ps):                  0.57
+  PDL (dB):                  0.00
+  Latency (ms):              0.98
+  Actual pch out (dBm):      3.00
+
+Propagating with input power = 2.50 dBm:
+Transceiver trx Rennes_STA
+  GSNR (0.1nm, dB):          24.02
+  GSNR (signal bw, dB):      19.93
+  OSNR ASE (0.1nm, dB):      26.55
+  OSNR ASE (signal bw, dB):  22.47
+  CD (ps/nm):                3340.00
+  PMD (ps):                  0.57
+  PDL (dB):                  0.00
+  Latency (ms):              0.98
+  Actual pch out (dBm):      3.00
+
+Propagating with input power = 3.00 dBm:
+Transceiver trx Rennes_STA
+  GSNR (0.1nm, dB):          24.02
+  GSNR (signal bw, dB):      19.93
+  OSNR ASE (0.1nm, dB):      26.55
+  OSNR ASE (signal bw, dB):  22.47
+  CD (ps/nm):                3340.00
+  PMD (ps):                  0.57
+  PDL (dB):                  0.00
+  Latency (ms):              0.98
+  Actual pch out (dBm):      3.00
+
+(Invalid source node 'brest' replaced with trx Brest_KLA)
+
+(Invalid destination node 'rennes' replaced with trx Rennes_STA)

tests/invocation/spectrum1_transmission_main_example

@@ -0,0 +1,106 @@
+User input for spectrum used for propagation instead of SI
+There are 76 channels propagating
+Power mode is set to True
+=> it can be modified in eqpt_config.json - Span
+
+There are 3 fiber spans over 130 km between trx Lannion_CAS and trx Lorient_KMA
+
+Now propagating between trx Lannion_CAS and trx Lorient_KMA:
+
+Propagating with input power = 0.00 dBm:
+Transceiver trx Lannion_CAS
+  GSNR (0.1nm, dB):          40.00
+  GSNR (signal bw, dB):      35.92
+  OSNR ASE (0.1nm, dB):      40.00
+  OSNR ASE (signal bw, dB):  35.92
+  CD (ps/nm):                0.00
+  PMD (ps):                  0.00
+  PDL (dB):                  0.00
+  Latency (ms):              0.00
+  Actual pch out (dBm):      0.00
+Roadm roadm Lannion_CAS
+  Type_variety:            default
+  Reference loss (dB):     20.00
+  Actual loss (dB):        20.00
+  Reference pch out (dBm): -20.00
+  Actual pch out (dBm):    -20.00
+Edfa east edfa in Lannion_CAS to Corlay
+  type_variety:           std_medium_gain
+  effective gain(dB):     21.00
+  (before att_in and before output VOA)
+  noise figure (dB):      6.36
+  (including att_in)
+  pad att_in (dB):        0.00
+  Power In (dBm):         -1.19
+  Power Out (dBm):        19.82
+  Delta_P (dB):           1.00
+  target pch (dBm):       1.00
+  actual pch out (dBm):   1.01
+  output VOA (dB):        0.00
+Fiber          fiber (Lannion_CAS → Corlay)-F061
+  type_variety:                SSMF
+  length (km):                 20.00
+  pad att_in (dB):             0.00
+  total loss (dB):             4.00
+  (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):     -3.00
+  actual pch out (dBm):        -2.99
+Fused west fused spans in Corlay
+  loss (dB): 1.00
+Fiber          fiber (Corlay → Loudeac)-F010
+  type_variety:                SSMF
+  length (km):                 50.00
+  pad att_in (dB):             0.00
+  total loss (dB):             10.00
+  (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):     -14.00
+  actual pch out (dBm):        -13.99
+Fused west fused spans in Loudeac
+  loss (dB): 1.00
+Fiber          fiber (Loudeac → Lorient_KMA)-F054
+  type_variety:                SSMF
+  length (km):                 60.00
+  pad att_in (dB):             0.00
+  total loss (dB):             12.00
+  (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):     -27.00
+  actual pch out (dBm):        -26.99
+Edfa west edfa in Lorient_KMA to Loudeac
+  type_variety:           std_high_gain
+  effective gain(dB):     28.00
+  (before att_in and before output VOA)
+  noise figure (dB):      5.92
+  (including att_in)
+  pad att_in (dB):        0.00
+  Power In (dBm):         -8.18
+  Power Out (dBm):        19.85
+  Delta_P (dB):           1.00
+  target pch (dBm):       1.00
+  actual pch out (dBm):   1.05
+  output VOA (dB):        0.00
+Roadm roadm Lorient_KMA
+  Type_variety:            default
+  Reference loss (dB):     21.00
+  Actual loss (dB):        21.05
+  Reference pch out (dBm): -20.00
+  Actual pch out (dBm):    -20.00
+Transceiver trx Lorient_KMA
+  GSNR (0.1nm, dB):          23.61
+  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
+  Actual pch out (dBm):      0.00
+
+Transmission result for input power = 0.00 dBm:
+  Final GSNR (0.1 nm): 23.61 dB
+
+(No source node specified: picked trx Lannion_CAS)
+
+(No destination node specified: picked trx Lorient_KMA)

tests/invocation/spectrum2_transmission_main_example

@@ -0,0 +1,169 @@
+User input for spectrum used for propagation instead of SI
+There are 60 channels propagating
+Power mode is set to True
+=> it can be modified in eqpt_config.json - Span
+
+There are 3 fiber spans over 130 km between trx Lannion_CAS and trx Lorient_KMA
+
+Now propagating between trx Lannion_CAS and trx Lorient_KMA:
+
+Propagating with input power = 0.00 dBm:
+Transceiver trx Lannion_CAS
+  GSNR (0.1nm, dB):          mode_1: 40.00, mode_2: 40.00
+  GSNR (signal bw, dB):      mode_1: 35.92, mode_2: 32.91
+  OSNR ASE (0.1nm, dB):      mode_1: 40.00, mode_2: 40.00
+  OSNR ASE (signal bw, dB):  mode_1: 35.92, mode_2: 32.91
+  CD (ps/nm):                0.00
+  PMD (ps):                  0.00
+  PDL (dB):                  0.00
+  Latency (ms):              0.00
+  Actual pch out (dBm):      mode_1: 0.00, mode_2: 0.00
+Roadm roadm Lannion_CAS
+  Type_variety:            default
+  Reference loss (dB):     20.00
+  Actual loss (dB):        mode_1: 20.00, mode_2: 20.00
+  Reference pch out (dBm): -20.00
+  Actual pch out (dBm):    mode_1: -20.00, mode_2: -20.00
+Edfa east edfa in Lannion_CAS to Corlay
+  type_variety:           std_medium_gain
+  effective gain(dB):     21.00
+  (before att_in and before output VOA)
+  noise figure (dB):      6.36
+  (including att_in)
+  pad att_in (dB):        0.00
+  Power In (dBm):         -2.22
+  Power Out (dBm):        18.79
+  Delta_P (dB):           1.00
+  target pch (dBm):       1.00
+  actual pch out (dBm):   mode_1: 1.01, mode_2: 1.02
+  output VOA (dB):        0.00
+Fiber          fiber (Lannion_CAS → Corlay)-F061
+  type_variety:                SSMF
+  length (km):                 20.00
+  pad att_in (dB):             0.00
+  total loss (dB):             4.00
+  (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):     -3.00
+  actual pch out (dBm):        mode_1: -2.99, mode_2: -2.98
+Fused west fused spans in Corlay
+  loss (dB): 1.00
+Fiber          fiber (Corlay → Loudeac)-F010
+  type_variety:                SSMF
+  length (km):                 50.00
+  pad att_in (dB):             0.00
+  total loss (dB):             10.00
+  (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):     -14.00
+  actual pch out (dBm):        mode_1: -13.99, mode_2: -13.98
+Fused west fused spans in Loudeac
+  loss (dB): 1.00
+Fiber          fiber (Loudeac → Lorient_KMA)-F054
+  type_variety:                SSMF
+  length (km):                 60.00
+  pad att_in (dB):             0.00
+  total loss (dB):             12.00
+  (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):     -27.00
+  actual pch out (dBm):        mode_1: -26.99, mode_2: -26.98
+Edfa west edfa in Lorient_KMA to Loudeac
+  type_variety:           std_high_gain
+  effective gain(dB):     28.00
+  (before att_in and before output VOA)
+  noise figure (dB):      5.92
+  (including att_in)
+  pad att_in (dB):        0.00
+  Power In (dBm):         -9.21
+  Power Out (dBm):        18.84
+  Delta_P (dB):           1.00
+  target pch (dBm):       1.00
+  actual pch out (dBm):   mode_1: 1.04, mode_2: 1.09
+  output VOA (dB):        0.00
+Roadm roadm Lorient_KMA
+  Type_variety:            default
+  Reference loss (dB):     21.00
+  Actual loss (dB):        mode_1: 21.04, mode_2: 21.09
+  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: 23.66, mode_2: 23.81
+  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
+  Actual pch out (dBm):      mode_1: 0.00, mode_2: 0.00
+
+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                       33.52                       19.66
+    2                 191.45000                    -20.04                       19.85                       32.93                       19.64
+    3                 191.50000                    -20.04                       19.84                       32.67                       19.62
+    4                 191.55000                    -20.04                       19.84                       32.50                       19.61
+    5                 191.60000                    -20.04                       19.84                       32.39                       19.61
+    6                 191.65000                    -20.04                       19.84                       32.30                       19.60
+    7                 191.70000                    -20.04                       19.84                       32.22                       19.60
+    8                 191.75000                    -20.04                       19.84                       32.16                       19.59
+    9                 191.80000                    -20.04                       19.84                       32.11                       19.59
+   10                 191.85000                    -20.04                       19.84                       32.07                       19.59
+   11                 191.90000                    -20.04                       19.84                       32.04                       19.58
+   12                 191.95000                    -20.04                       19.84                       32.00                       19.58
+   13                 192.00000                    -20.04                       19.83                       31.98                       19.58
+   14                 192.05000                    -20.04                       19.83                       31.95                       19.57
+   15                 192.10000                    -20.04                       19.83                       31.93                       19.57
+   16                 192.15000                    -20.04                       19.83                       31.91                       19.57
+   17                 192.20000                    -20.04                       19.83                       31.90                       19.57
+   18                 192.25000                    -20.04                       19.83                       31.88                       19.57
+   19                 192.30000                    -20.04                       19.83                       31.87                       19.56
+   20                 192.35000                    -20.04                       19.83                       31.87                       19.56
+   21                 192.40000                    -20.04                       19.83                       31.86                       19.56
+   22                 192.45000                    -20.04                       19.82                       31.86                       19.56
+   23                 192.50000                    -20.04                       19.82                       31.86                       19.56
+   24                 192.55000                    -20.04                       19.82                       31.86                       19.56
+   25                 192.60000                    -20.04                       19.82                       31.87                       19.56
+   26                 192.65000                    -20.04                       19.82                       31.88                       19.56
+   27                 192.70000                    -20.04                       19.82                       31.89                       19.56
+   28                 192.75000                    -20.04                       19.82                       31.91                       19.56
+   29                 192.80000                    -20.04                       19.82                       31.93                       19.56
+   30                 192.85000                    -20.04                       19.82                       31.97                       19.56
+   31                 192.90000                    -20.04                       19.82                       32.01                       19.56
+   32                 192.95000                    -20.04                       19.81                       32.07                       19.56
+   33                 193.00000                    -20.04                       19.81                       32.16                       19.57
+   34                 193.05000                    -20.04                       19.81                       32.31                       19.57
+   35                 193.10000                    -20.04                       19.81                       32.65                       19.59
+   36                 193.16250                    -20.09                       16.80                       33.73                       16.71
+   37                 193.23750                    -20.09                       16.80                       34.22                       16.72
+   38                 193.31250                    -20.09                       16.80                       34.47                       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                       34.84                       16.72
+   42                 193.61250                    -20.09                       16.79                       34.92                       16.72
+   43                 193.68750                    -20.09                       16.79                       34.99                       16.72
+   44                 193.76250                    -20.09                       16.79                       35.04                       16.72
+   45                 193.83750                    -20.09                       16.78                       35.10                       16.72
+   46                 193.91250                    -20.09                       16.78                       35.15                       16.72
+   47                 193.98750                    -20.09                       16.78                       35.19                       16.72
+   48                 194.06250                    -20.09                       16.78                       35.24                       16.72
+   49                 194.13750                    -20.09                       16.78                       35.28                       16.72
+   50                 194.21250                    -20.09                       16.78                       35.33                       16.72
+   51                 194.28750                    -20.09                       16.78                       35.37                       16.72
+   52                 194.36250                    -20.09                       16.77                       35.42                       16.72
+   53                 194.43750                    -20.09                       16.77                       35.47                       16.71
+   54                 194.51250                    -20.09                       16.77                       35.53                       16.71
+   55                 194.58750                    -20.09                       16.77                       35.59                       16.71
+   56                 194.66250                    -20.09                       16.77                       35.67                       16.71
+   57                 194.73750                    -20.09                       16.77                       35.77                       16.71
+   58                 194.81250                    -20.09                       16.76                       35.90                       16.71
+   59                 194.88750                    -20.09                       16.76                       36.11                       16.71
+   60                 194.96250                    -20.09                       16.76                       36.58                       16.72
+
+(No source node specified: picked trx Lannion_CAS)
+
+(No destination node specified: picked trx Lorient_KMA)

tests/invocation/transmission_long_pow

@@ -0,0 +1,449 @@
+User input for spectrum used for propagation instead of SI
+There are 60 channels propagating
+Power mode is set to True
+=> it can be modified in eqpt_config.json - Span
+
+There are 15 fiber spans over 1200 km between Site_A and Site_B
+
+Now propagating between Site_A and Site_B:
+
+Propagating with input power = 0.00 dBm:
+Transceiver Site_A
+  GSNR (0.1nm, dB):          mode_1: 40.00, mode_2: 40.00
+  GSNR (signal bw, dB):      mode_1: 35.92, mode_2: 32.91
+  OSNR ASE (0.1nm, dB):      mode_1: 40.00, mode_2: 40.00
+  OSNR ASE (signal bw, dB):  mode_1: 35.92, mode_2: 32.91
+  CD (ps/nm):                0.00
+  PMD (ps):                  0.00
+  PDL (dB):                  0.00
+  Latency (ms):              0.00
+  Actual pch out (dBm):      mode_1: 0.00, mode_2: 0.00
+Roadm roadm Site A
+  Type_variety:            default
+  Reference loss (dB):     20.00
+  Actual loss (dB):        mode_1: 20.00, mode_2: 20.00
+  Reference pch out (dBm): -20.00
+  Actual pch out (dBm):    mode_1: -20.00, mode_2: -20.00
+Edfa booster A
+  type_variety:           std_medium_gain
+  effective gain(dB):     20.00
+  (before att_in and before output VOA)
+  noise figure (dB):      6.58
+  (including att_in)
+  pad att_in (dB):        0.00
+  Power In (dBm):         -2.22
+  Power Out (dBm):        17.79
+  Delta_P (dB):           0.00
+  target pch (dBm):       0.00
+  actual pch out (dBm):   mode_1: 0.01, mode_2: 0.02
+  output VOA (dB):        0.00
+Fiber          Span1
+  type_variety:                SSMF
+  length (km):                 80.00
+  pad att_in (dB):             0.00
+  total loss (dB):             16.00
+  (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):     -16.00
+  actual pch out (dBm):        mode_1: -15.99, mode_2: -15.98
+Edfa Edfa1
+  type_variety:           test
+  effective gain(dB):     16.00
+  (before att_in and before output VOA)
+  noise figure (dB):      8.86
+  (including att_in)
+  pad att_in (dB):        0.00
+  Power In (dBm):         1.80
+  Power Out (dBm):        17.80
+  Delta_P (dB):           0.00
+  target pch (dBm):       0.00
+  actual pch out (dBm):   mode_1: 0.02, mode_2: 0.03
+  output VOA (dB):        0.00
+Fiber          Span2
+  type_variety:                SSMF
+  length (km):                 80.00
+  pad att_in (dB):             0.00
+  total loss (dB):             16.00
+  (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):     -16.00
+  actual pch out (dBm):        mode_1: -15.98, mode_2: -15.97
+Edfa Edfa2
+  type_variety:           test_fixed_gain
+  effective gain(dB):     16.00
+  (before att_in and before output VOA)
+  noise figure (dB):      9.00
+  (including att_in)
+  pad att_in (dB):        4.00
+  Power In (dBm):         1.81
+  Power Out (dBm):        17.81
+  Delta_P (dB):           0.00
+  target pch (dBm):       0.00
+  actual pch out (dBm):   mode_1: 0.03, mode_2: 0.04
+  output VOA (dB):        0.00
+Fiber          Span3
+  type_variety:                SSMF
+  length (km):                 80.00
+  pad att_in (dB):             0.00
+  total loss (dB):             16.00
+  (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):     -16.00
+  actual pch out (dBm):        mode_1: -15.97, mode_2: -15.96
+Edfa Edfa3
+  type_variety:           test
+  effective gain(dB):     16.00
+  (before att_in and before output VOA)
+  noise figure (dB):      8.86
+  (including att_in)
+  pad att_in (dB):        0.00
+  Power In (dBm):         1.82
+  Power Out (dBm):        17.82
+  Delta_P (dB):           0.00
+  target pch (dBm):       0.00
+  actual pch out (dBm):   mode_1: 0.04, mode_2: 0.05
+  output VOA (dB):        0.00
+Fiber          Span4
+  type_variety:                SSMF
+  length (km):                 80.00
+  pad att_in (dB):             0.00
+  total loss (dB):             16.00
+  (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):     -16.00
+  actual pch out (dBm):        mode_1: -15.96, mode_2: -15.94
+Edfa Edfa4
+  type_variety:           test_fixed_gain
+  effective gain(dB):     16.00
+  (before att_in and before output VOA)
+  noise figure (dB):      9.00
+  (including att_in)
+  pad att_in (dB):        4.00
+  Power In (dBm):         1.83
+  Power Out (dBm):        17.84
+  Delta_P (dB):           0.00
+  target pch (dBm):       0.00
+  actual pch out (dBm):   mode_1: 0.04, mode_2: 0.07
+  output VOA (dB):        0.00
+Fiber          Span5
+  type_variety:                SSMF
+  length (km):                 80.00
+  pad att_in (dB):             0.00
+  total loss (dB):             16.00
+  (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):     -16.00
+  actual pch out (dBm):        mode_1: -15.95, mode_2: -15.93
+Edfa Edfa5
+  type_variety:           test
+  effective gain(dB):     16.00
+  (before att_in and before output VOA)
+  noise figure (dB):      8.86
+  (including att_in)
+  pad att_in (dB):        0.00
+  Power In (dBm):         1.84
+  Power Out (dBm):        17.85
+  Delta_P (dB):           0.00
+  target pch (dBm):       0.00
+  actual pch out (dBm):   mode_1: 0.05, mode_2: 0.08
+  output VOA (dB):        0.00
+Roadm roadm Site C
+  Type_variety:            default
+  Reference loss (dB):     20.00
+  Actual loss (dB):        mode_1: 20.05, mode_2: 20.08
+  Reference pch out (dBm): -20.00
+  Actual pch out (dBm):    mode_1: -20.00, mode_2: -20.00
+Edfa booster C
+  type_variety:           std_medium_gain
+  effective gain(dB):     20.00
+  (before att_in and before output VOA)
+  noise figure (dB):      6.58
+  (including att_in)
+  pad att_in (dB):        0.00
+  Power In (dBm):         -2.22
+  Power Out (dBm):        17.79
+  Delta_P (dB):           0.00
+  target pch (dBm):       0.00
+  actual pch out (dBm):   mode_1: 0.01, mode_2: 0.02
+  output VOA (dB):        0.00
+Fiber          Span6
+  type_variety:                SSMF
+  length (km):                 80.00
+  pad att_in (dB):             0.00
+  total loss (dB):             16.00
+  (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):     -16.00
+  actual pch out (dBm):        mode_1: -15.99, mode_2: -15.98
+Edfa Edfa6
+  type_variety:           test_fixed_gain
+  effective gain(dB):     16.00
+  (before att_in and before output VOA)
+  noise figure (dB):      9.00
+  (including att_in)
+  pad att_in (dB):        4.00
+  Power In (dBm):         1.80
+  Power Out (dBm):        17.80
+  Delta_P (dB):           0.00
+  target pch (dBm):       0.00
+  actual pch out (dBm):   mode_1: 0.02, mode_2: 0.03
+  output VOA (dB):        0.00
+Fiber          Span7
+  type_variety:                SSMF
+  length (km):                 80.00
+  pad att_in (dB):             0.00
+  total loss (dB):             16.00
+  (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):     -16.00
+  actual pch out (dBm):        mode_1: -15.98, mode_2: -15.97
+Edfa Edfa7
+  type_variety:           test
+  effective gain(dB):     16.00
+  (before att_in and before output VOA)
+  noise figure (dB):      8.86
+  (including att_in)
+  pad att_in (dB):        0.00
+  Power In (dBm):         1.81
+  Power Out (dBm):        17.81
+  Delta_P (dB):           0.00
+  target pch (dBm):       0.00
+  actual pch out (dBm):   mode_1: 0.03, mode_2: 0.04
+  output VOA (dB):        0.00
+Fiber          Span8
+  type_variety:                SSMF
+  length (km):                 80.00
+  pad att_in (dB):             0.00
+  total loss (dB):             16.00
+  (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):     -16.00
+  actual pch out (dBm):        mode_1: -15.97, mode_2: -15.96
+Edfa Edfa8
+  type_variety:           test_fixed_gain
+  effective gain(dB):     16.00
+  (before att_in and before output VOA)
+  noise figure (dB):      9.00
+  (including att_in)
+  pad att_in (dB):        4.00
+  Power In (dBm):         1.82
+  Power Out (dBm):        17.82
+  Delta_P (dB):           0.00
+  target pch (dBm):       0.00
+  actual pch out (dBm):   mode_1: 0.03, mode_2: 0.05
+  output VOA (dB):        0.00
+Fiber          Span9
+  type_variety:                SSMF
+  length (km):                 80.00
+  pad att_in (dB):             0.00
+  total loss (dB):             16.00
+  (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):     -16.00
+  actual pch out (dBm):        mode_1: -15.96, mode_2: -15.94
+Edfa Edfa9
+  type_variety:           test
+  effective gain(dB):     16.00
+  (before att_in and before output VOA)
+  noise figure (dB):      8.86
+  (including att_in)
+  pad att_in (dB):        0.00
+  Power In (dBm):         1.83
+  Power Out (dBm):        17.83
+  Delta_P (dB):           0.00
+  target pch (dBm):       0.00
+  actual pch out (dBm):   mode_1: 0.04, mode_2: 0.07
+  output VOA (dB):        0.00
+Fiber          Span10
+  type_variety:                SSMF
+  length (km):                 80.00
+  pad att_in (dB):             0.00
+  total loss (dB):             16.00
+  (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):     -16.00
+  actual pch out (dBm):        mode_1: -15.95, mode_2: -15.93
+Edfa Edfa10
+  type_variety:           test_fixed_gain
+  effective gain(dB):     16.00
+  (before att_in and before output VOA)
+  noise figure (dB):      9.00
+  (including att_in)
+  pad att_in (dB):        4.00
+  Power In (dBm):         1.84
+  Power Out (dBm):        17.85
+  Delta_P (dB):           0.00
+  target pch (dBm):       0.00
+  actual pch out (dBm):   mode_1: 0.05, mode_2: 0.08
+  output VOA (dB):        0.00
+Roadm roadm Site D
+  Type_variety:            default
+  Reference loss (dB):     20.00
+  Actual loss (dB):        mode_1: 20.05, mode_2: 20.08
+  Reference pch out (dBm): -20.00
+  Actual pch out (dBm):    mode_1: -20.00, mode_2: -20.00
+Edfa booster D
+  type_variety:           std_medium_gain
+  effective gain(dB):     20.00
+  (before att_in and before output VOA)
+  noise figure (dB):      6.58
+  (including att_in)
+  pad att_in (dB):        0.00
+  Power In (dBm):         -2.22
+  Power Out (dBm):        17.79
+  Delta_P (dB):           0.00
+  target pch (dBm):       0.00
+  actual pch out (dBm):   mode_1: 0.01, mode_2: 0.02
+  output VOA (dB):        0.00
+Fiber          Span11
+  type_variety:                SSMF
+  length (km):                 80.00
+  pad att_in (dB):             0.00
+  total loss (dB):             16.00
+  (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):     -16.00
+  actual pch out (dBm):        mode_1: -15.99, mode_2: -15.98
+Edfa Edfa11
+  type_variety:           test
+  effective gain(dB):     16.00
+  (before att_in and before output VOA)
+  noise figure (dB):      8.86
+  (including att_in)
+  pad att_in (dB):        0.00
+  Power In (dBm):         1.80
+  Power Out (dBm):        17.80
+  Delta_P (dB):           0.00
+  target pch (dBm):       0.00
+  actual pch out (dBm):   mode_1: 0.02, mode_2: 0.03
+  output VOA (dB):        0.00
+Fiber          Span12
+  type_variety:                SSMF
+  length (km):                 80.00
+  pad att_in (dB):             0.00
+  total loss (dB):             16.00
+  (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):     -16.00
+  actual pch out (dBm):        mode_1: -15.98, mode_2: -15.97
+Edfa Edfa12
+  type_variety:           test_fixed_gain
+  effective gain(dB):     16.00
+  (before att_in and before output VOA)
+  noise figure (dB):      9.00
+  (including att_in)
+  pad att_in (dB):        4.00
+  Power In (dBm):         1.81
+  Power Out (dBm):        17.81
+  Delta_P (dB):           0.00
+  target pch (dBm):       0.00
+  actual pch out (dBm):   mode_1: 0.03, mode_2: 0.04
+  output VOA (dB):        0.00
+Roadm roadm Site E
+  Type_variety:            default
+  Reference loss (dB):     20.00
+  Actual loss (dB):        mode_1: 20.03, mode_2: 20.04
+  Reference pch out (dBm): -20.00
+  Actual pch out (dBm):    mode_1: -20.00, mode_2: -20.00
+Edfa booster E
+  type_variety:           std_medium_gain
+  effective gain(dB):     20.00
+  (before att_in and before output VOA)
+  noise figure (dB):      6.58
+  (including att_in)
+  pad att_in (dB):        0.00
+  Power In (dBm):         -2.22
+  Power Out (dBm):        17.79
+  Delta_P (dB):           0.00
+  target pch (dBm):       0.00
+  actual pch out (dBm):   mode_1: 0.01, mode_2: 0.02
+  output VOA (dB):        0.00
+Fiber          Span13
+  type_variety:                SSMF
+  length (km):                 80.00
+  pad att_in (dB):             0.00
+  total loss (dB):             16.00
+  (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):     -16.00
+  actual pch out (dBm):        mode_1: -15.99, mode_2: -15.98
+Edfa Edfa13
+  type_variety:           test
+  effective gain(dB):     16.00
+  (before att_in and before output VOA)
+  noise figure (dB):      8.86
+  (including att_in)
+  pad att_in (dB):        0.00
+  Power In (dBm):         1.80
+  Power Out (dBm):        17.80
+  Delta_P (dB):           0.00
+  target pch (dBm):       0.00
+  actual pch out (dBm):   mode_1: 0.02, mode_2: 0.03
+  output VOA (dB):        0.00
+Fiber          Span14
+  type_variety:                SSMF
+  length (km):                 80.00
+  pad att_in (dB):             0.00
+  total loss (dB):             16.00
+  (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):     -16.00
+  actual pch out (dBm):        mode_1: -15.98, mode_2: -15.97
+Edfa Edfa14
+  type_variety:           test_fixed_gain
+  effective gain(dB):     16.00
+  (before att_in and before output VOA)
+  noise figure (dB):      9.00
+  (including att_in)
+  pad att_in (dB):        4.00
+  Power In (dBm):         1.81
+  Power Out (dBm):        17.81
+  Delta_P (dB):           0.00
+  target pch (dBm):       0.00
+  actual pch out (dBm):   mode_1: 0.03, mode_2: 0.04
+  output VOA (dB):        0.00
+Fiber          Span15
+  type_variety:                SSMF
+  length (km):                 80.00
+  pad att_in (dB):             0.00
+  total loss (dB):             16.00
+  (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):     -16.00
+  actual pch out (dBm):        mode_1: -15.97, mode_2: -15.96
+Edfa Edfa15
+  type_variety:           test
+  effective gain(dB):     16.00
+  (before att_in and before output VOA)
+  noise figure (dB):      8.86
+  (including att_in)
+  pad att_in (dB):        0.00
+  Power In (dBm):         1.82
+  Power Out (dBm):        17.82
+  Delta_P (dB):           0.00
+  target pch (dBm):       0.00
+  actual pch out (dBm):   mode_1: 0.03, mode_2: 0.05
+  output VOA (dB):        0.00
+Roadm roadm Site B
+  Type_variety:            default
+  Reference loss (dB):     20.00
+  Actual loss (dB):        mode_1: 20.03, mode_2: 20.05
+  Reference pch out (dBm): -20.00
+  Actual pch out (dBm):    mode_1: -20.00, mode_2: -20.00
+Transceiver Site_B
+  GSNR (0.1nm, dB):          mode_1: 18.11, mode_2: 19.18
+  GSNR (signal bw, dB):      mode_1: 14.02, mode_2: 12.09
+  OSNR ASE (0.1nm, dB):      mode_1: 19.69, mode_2: 19.62
+  OSNR ASE (signal bw, dB):  mode_1: 15.61, mode_2: 12.53
+  CD (ps/nm):                20040.00
+  PMD (ps):                  1.39
+  PDL (dB):                  0.00
+  Latency (ms):              5.88
+  Actual pch out (dBm):      mode_1: 0.00, mode_2: 0.00
+
+Transmission result for input power = 0.00 dBm:
+  Final GSNR (0.1 nm): 18.56 dB
+
+(No source node specified: picked Site_A)
+
+(No destination node specified: picked Site_B)

tests/invocation/transmission_long_psd

@@ -0,0 +1,449 @@
+User input for spectrum used for propagation instead of SI
+There are 60 channels propagating
+Power mode is set to True
+=> it can be modified in eqpt_config.json - Span
+
+There are 15 fiber spans over 1200 km between Site_A and Site_B
+
+Now propagating between Site_A and Site_B:
+
+Propagating with input power = 0.00 dBm:
+Transceiver Site_A
+  GSNR (0.1nm, dB):          mode_1: 40.00, mode_2: 40.00
+  GSNR (signal bw, dB):      mode_1: 35.92, mode_2: 32.91
+  OSNR ASE (0.1nm, dB):      mode_1: 40.00, mode_2: 40.00
+  OSNR ASE (signal bw, dB):  mode_1: 35.92, mode_2: 32.91
+  CD (ps/nm):                0.00
+  PMD (ps):                  0.00
+  PDL (dB):                  0.00
+  Latency (ms):              0.00
+  Actual pch out (dBm):      mode_1: 0.00, mode_2: 0.00
+Roadm roadm Site A
+  Type_variety:            default
+  Reference loss (dB):     20.00
+  Actual loss (dB):        mode_1: 20.00, mode_2: 16.99
+  Reference pch out (dBm): -20.00
+  Actual pch out (dBm):    mode_1: -20.00, mode_2: -16.99
+Edfa booster A
+  type_variety:           std_medium_gain
+  effective gain(dB):     20.00
+  (before att_in and before output VOA)
+  noise figure (dB):      6.58
+  (including att_in)
+  pad att_in (dB):        0.00
+  Power In (dBm):         -0.71
+  Power Out (dBm):        19.30
+  Delta_P (dB):           0.00
+  target pch (dBm):       0.00
+  actual pch out (dBm):   mode_1: 0.01, mode_2: 3.02
+  output VOA (dB):        0.00
+Fiber          Span1
+  type_variety:                SSMF
+  length (km):                 80.00
+  pad att_in (dB):             0.00
+  total loss (dB):             16.00
+  (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):     -16.00
+  actual pch out (dBm):        mode_1: -15.99, mode_2: -12.98
+Edfa Edfa1
+  type_variety:           test
+  effective gain(dB):     16.00
+  (before att_in and before output VOA)
+  noise figure (dB):      8.86
+  (including att_in)
+  pad att_in (dB):        0.00
+  Power In (dBm):         3.31
+  Power Out (dBm):        19.31
+  Delta_P (dB):           0.00
+  target pch (dBm):       0.00
+  actual pch out (dBm):   mode_1: 0.02, mode_2: 3.03
+  output VOA (dB):        0.00
+Fiber          Span2
+  type_variety:                SSMF
+  length (km):                 80.00
+  pad att_in (dB):             0.00
+  total loss (dB):             16.00
+  (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):     -16.00
+  actual pch out (dBm):        mode_1: -15.98, mode_2: -12.97
+Edfa Edfa2
+  type_variety:           test_fixed_gain
+  effective gain(dB):     16.00
+  (before att_in and before output VOA)
+  noise figure (dB):      9.00
+  (including att_in)
+  pad att_in (dB):        4.00
+  Power In (dBm):         3.32
+  Power Out (dBm):        19.32
+  Delta_P (dB):           0.00
+  target pch (dBm):       0.00
+  actual pch out (dBm):   mode_1: 0.03, mode_2: 3.04
+  output VOA (dB):        0.00
+Fiber          Span3
+  type_variety:                SSMF
+  length (km):                 80.00
+  pad att_in (dB):             0.00
+  total loss (dB):             16.00
+  (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):     -16.00
+  actual pch out (dBm):        mode_1: -15.97, mode_2: -12.95
+Edfa Edfa3
+  type_variety:           test
+  effective gain(dB):     16.00
+  (before att_in and before output VOA)
+  noise figure (dB):      8.86
+  (including att_in)
+  pad att_in (dB):        0.00
+  Power In (dBm):         3.33
+  Power Out (dBm):        19.33
+  Delta_P (dB):           0.00
+  target pch (dBm):       0.00
+  actual pch out (dBm):   mode_1: 0.04, mode_2: 3.05
+  output VOA (dB):        0.00
+Fiber          Span4
+  type_variety:                SSMF
+  length (km):                 80.00
+  pad att_in (dB):             0.00
+  total loss (dB):             16.00
+  (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):     -16.00
+  actual pch out (dBm):        mode_1: -15.96, mode_2: -12.94
+Edfa Edfa4
+  type_variety:           test_fixed_gain
+  effective gain(dB):     16.00
+  (before att_in and before output VOA)
+  noise figure (dB):      9.00
+  (including att_in)
+  pad att_in (dB):        4.00
+  Power In (dBm):         3.34
+  Power Out (dBm):        19.34
+  Delta_P (dB):           0.00
+  target pch (dBm):       0.00
+  actual pch out (dBm):   mode_1: 0.05, mode_2: 3.06
+  output VOA (dB):        0.00
+Fiber          Span5
+  type_variety:                SSMF
+  length (km):                 80.00
+  pad att_in (dB):             0.00
+  total loss (dB):             16.00
+  (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):     -16.00
+  actual pch out (dBm):        mode_1: -15.95, mode_2: -12.93
+Edfa Edfa5
+  type_variety:           test
+  effective gain(dB):     16.00
+  (before att_in and before output VOA)
+  noise figure (dB):      8.86
+  (including att_in)
+  pad att_in (dB):        0.00
+  Power In (dBm):         3.35
+  Power Out (dBm):        19.35
+  Delta_P (dB):           0.00
+  target pch (dBm):       0.00
+  actual pch out (dBm):   mode_1: 0.06, mode_2: 3.07
+  output VOA (dB):        0.00
+Roadm roadm Site C
+  Type_variety:            default
+  Reference loss (dB):     20.00
+  Actual loss (dB):        mode_1: 20.06, mode_2: 20.06
+  Reference pch out (dBm): -20.00
+  Actual pch out (dBm):    mode_1: -20.00, mode_2: -16.99
+Edfa booster C
+  type_variety:           std_medium_gain
+  effective gain(dB):     20.00
+  (before att_in and before output VOA)
+  noise figure (dB):      6.58
+  (including att_in)
+  pad att_in (dB):        0.00
+  Power In (dBm):         -0.71
+  Power Out (dBm):        19.30
+  Delta_P (dB):           0.00
+  target pch (dBm):       0.00
+  actual pch out (dBm):   mode_1: 0.01, mode_2: 3.02
+  output VOA (dB):        0.00
+Fiber          Span6
+  type_variety:                SSMF
+  length (km):                 80.00
+  pad att_in (dB):             0.00
+  total loss (dB):             16.00
+  (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):     -16.00
+  actual pch out (dBm):        mode_1: -15.99, mode_2: -12.98
+Edfa Edfa6
+  type_variety:           test_fixed_gain
+  effective gain(dB):     16.00
+  (before att_in and before output VOA)
+  noise figure (dB):      9.00
+  (including att_in)
+  pad att_in (dB):        4.00
+  Power In (dBm):         3.31
+  Power Out (dBm):        19.31
+  Delta_P (dB):           0.00
+  target pch (dBm):       0.00
+  actual pch out (dBm):   mode_1: 0.02, mode_2: 3.03
+  output VOA (dB):        0.00
+Fiber          Span7
+  type_variety:                SSMF
+  length (km):                 80.00
+  pad att_in (dB):             0.00
+  total loss (dB):             16.00
+  (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):     -16.00
+  actual pch out (dBm):        mode_1: -15.98, mode_2: -12.97
+Edfa Edfa7
+  type_variety:           test
+  effective gain(dB):     16.00
+  (before att_in and before output VOA)
+  noise figure (dB):      8.86
+  (including att_in)
+  pad att_in (dB):        0.00
+  Power In (dBm):         3.32
+  Power Out (dBm):        19.32
+  Delta_P (dB):           0.00
+  target pch (dBm):       0.00
+  actual pch out (dBm):   mode_1: 0.03, mode_2: 3.04
+  output VOA (dB):        0.00
+Fiber          Span8
+  type_variety:                SSMF
+  length (km):                 80.00
+  pad att_in (dB):             0.00
+  total loss (dB):             16.00
+  (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):     -16.00
+  actual pch out (dBm):        mode_1: -15.97, mode_2: -12.95
+Edfa Edfa8
+  type_variety:           test_fixed_gain
+  effective gain(dB):     16.00
+  (before att_in and before output VOA)
+  noise figure (dB):      9.00
+  (including att_in)
+  pad att_in (dB):        4.00
+  Power In (dBm):         3.33
+  Power Out (dBm):        19.33
+  Delta_P (dB):           0.00
+  target pch (dBm):       0.00
+  actual pch out (dBm):   mode_1: 0.04, mode_2: 3.05
+  output VOA (dB):        0.00
+Fiber          Span9
+  type_variety:                SSMF
+  length (km):                 80.00
+  pad att_in (dB):             0.00
+  total loss (dB):             16.00
+  (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):     -16.00
+  actual pch out (dBm):        mode_1: -15.96, mode_2: -12.94
+Edfa Edfa9
+  type_variety:           test
+  effective gain(dB):     16.00
+  (before att_in and before output VOA)
+  noise figure (dB):      8.86
+  (including att_in)
+  pad att_in (dB):        0.00
+  Power In (dBm):         3.34
+  Power Out (dBm):        19.34
+  Delta_P (dB):           0.00
+  target pch (dBm):       0.00
+  actual pch out (dBm):   mode_1: 0.05, mode_2: 3.06
+  output VOA (dB):        0.00
+Fiber          Span10
+  type_variety:                SSMF
+  length (km):                 80.00
+  pad att_in (dB):             0.00
+  total loss (dB):             16.00
+  (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):     -16.00
+  actual pch out (dBm):        mode_1: -15.95, mode_2: -12.93
+Edfa Edfa10
+  type_variety:           test_fixed_gain
+  effective gain(dB):     16.00
+  (before att_in and before output VOA)
+  noise figure (dB):      9.00
+  (including att_in)
+  pad att_in (dB):        4.00
+  Power In (dBm):         3.35
+  Power Out (dBm):        19.35
+  Delta_P (dB):           0.00
+  target pch (dBm):       0.00
+  actual pch out (dBm):   mode_1: 0.06, mode_2: 3.07
+  output VOA (dB):        0.00
+Roadm roadm Site D
+  Type_variety:            default
+  Reference loss (dB):     20.00
+  Actual loss (dB):        mode_1: 20.06, mode_2: 20.06
+  Reference pch out (dBm): -20.00
+  Actual pch out (dBm):    mode_1: -20.00, mode_2: -16.99
+Edfa booster D
+  type_variety:           std_medium_gain
+  effective gain(dB):     20.00
+  (before att_in and before output VOA)
+  noise figure (dB):      6.58
+  (including att_in)
+  pad att_in (dB):        0.00
+  Power In (dBm):         -0.71
+  Power Out (dBm):        19.30
+  Delta_P (dB):           0.00
+  target pch (dBm):       0.00
+  actual pch out (dBm):   mode_1: 0.01, mode_2: 3.02
+  output VOA (dB):        0.00
+Fiber          Span11
+  type_variety:                SSMF
+  length (km):                 80.00
+  pad att_in (dB):             0.00
+  total loss (dB):             16.00
+  (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):     -16.00
+  actual pch out (dBm):        mode_1: -15.99, mode_2: -12.98
+Edfa Edfa11
+  type_variety:           test
+  effective gain(dB):     16.00
+  (before att_in and before output VOA)
+  noise figure (dB):      8.86
+  (including att_in)
+  pad att_in (dB):        0.00
+  Power In (dBm):         3.31
+  Power Out (dBm):        19.31
+  Delta_P (dB):           0.00
+  target pch (dBm):       0.00
+  actual pch out (dBm):   mode_1: 0.02, mode_2: 3.03
+  output VOA (dB):        0.00
+Fiber          Span12
+  type_variety:                SSMF
+  length (km):                 80.00
+  pad att_in (dB):             0.00
+  total loss (dB):             16.00
+  (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):     -16.00
+  actual pch out (dBm):        mode_1: -15.98, mode_2: -12.97
+Edfa Edfa12
+  type_variety:           test_fixed_gain
+  effective gain(dB):     16.00
+  (before att_in and before output VOA)
+  noise figure (dB):      9.00
+  (including att_in)
+  pad att_in (dB):        4.00
+  Power In (dBm):         3.32
+  Power Out (dBm):        19.32
+  Delta_P (dB):           0.00
+  target pch (dBm):       0.00
+  actual pch out (dBm):   mode_1: 0.03, mode_2: 3.04
+  output VOA (dB):        0.00
+Roadm roadm Site E
+  Type_variety:            default
+  Reference loss (dB):     20.00
+  Actual loss (dB):        mode_1: 20.03, mode_2: 20.03
+  Reference pch out (dBm): -20.00
+  Actual pch out (dBm):    mode_1: -20.00, mode_2: -16.99
+Edfa booster E
+  type_variety:           std_medium_gain
+  effective gain(dB):     20.00
+  (before att_in and before output VOA)
+  noise figure (dB):      6.58
+  (including att_in)
+  pad att_in (dB):        0.00
+  Power In (dBm):         -0.71
+  Power Out (dBm):        19.30
+  Delta_P (dB):           0.00
+  target pch (dBm):       0.00
+  actual pch out (dBm):   mode_1: 0.01, mode_2: 3.02
+  output VOA (dB):        0.00
+Fiber          Span13
+  type_variety:                SSMF
+  length (km):                 80.00
+  pad att_in (dB):             0.00
+  total loss (dB):             16.00
+  (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):     -16.00
+  actual pch out (dBm):        mode_1: -15.99, mode_2: -12.98
+Edfa Edfa13
+  type_variety:           test
+  effective gain(dB):     16.00
+  (before att_in and before output VOA)
+  noise figure (dB):      8.86
+  (including att_in)
+  pad att_in (dB):        0.00
+  Power In (dBm):         3.31
+  Power Out (dBm):        19.31
+  Delta_P (dB):           0.00
+  target pch (dBm):       0.00
+  actual pch out (dBm):   mode_1: 0.02, mode_2: 3.03
+  output VOA (dB):        0.00
+Fiber          Span14
+  type_variety:                SSMF
+  length (km):                 80.00
+  pad att_in (dB):             0.00
+  total loss (dB):             16.00
+  (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):     -16.00
+  actual pch out (dBm):        mode_1: -15.98, mode_2: -12.97
+Edfa Edfa14
+  type_variety:           test_fixed_gain
+  effective gain(dB):     16.00
+  (before att_in and before output VOA)
+  noise figure (dB):      9.00
+  (including att_in)
+  pad att_in (dB):        4.00
+  Power In (dBm):         3.32
+  Power Out (dBm):        19.32
+  Delta_P (dB):           0.00
+  target pch (dBm):       0.00
+  actual pch out (dBm):   mode_1: 0.03, mode_2: 3.04
+  output VOA (dB):        0.00
+Fiber          Span15
+  type_variety:                SSMF
+  length (km):                 80.00
+  pad att_in (dB):             0.00
+  total loss (dB):             16.00
+  (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):     -16.00
+  actual pch out (dBm):        mode_1: -15.97, mode_2: -12.96
+Edfa Edfa15
+  type_variety:           test
+  effective gain(dB):     16.00
+  (before att_in and before output VOA)
+  noise figure (dB):      8.86
+  (including att_in)
+  pad att_in (dB):        0.00
+  Power In (dBm):         3.33
+  Power Out (dBm):        19.33
+  Delta_P (dB):           0.00
+  target pch (dBm):       0.00
+  actual pch out (dBm):   mode_1: 0.04, mode_2: 3.05
+  output VOA (dB):        0.00
+Roadm roadm Site B
+  Type_variety:            default
+  Reference loss (dB):     20.00
+  Actual loss (dB):        mode_1: 20.04, mode_2: 20.04
+  Reference pch out (dBm): -20.00
+  Actual pch out (dBm):    mode_1: -20.00, mode_2: -16.99
+Transceiver Site_B
+  GSNR (0.1nm, dB):          mode_1: 17.91, mode_2: 20.37
+  GSNR (signal bw, dB):      mode_1: 13.83, mode_2: 13.28
+  OSNR ASE (0.1nm, dB):      mode_1: 19.69, mode_2: 22.55
+  OSNR ASE (signal bw, dB):  mode_1: 15.61, mode_2: 15.46
+  CD (ps/nm):                20040.00
+  PMD (ps):                  1.39
+  PDL (dB):                  0.00
+  Latency (ms):              5.88
+  Actual pch out (dBm):      mode_1: 0.00, mode_2: 0.00
+
+Transmission result for input power = 0.00 dBm:
+  Final GSNR (0.1 nm): 18.94 dB
+
+(No source node specified: picked Site_A)
+
+(No destination node specified: picked Site_B)

tests/invocation/transmission_long_psw

@@ -0,0 +1,449 @@
+User input for spectrum used for propagation instead of SI
+There are 60 channels propagating
+Power mode is set to True
+=> it can be modified in eqpt_config.json - Span
+
+There are 15 fiber spans over 1200 km between Site_A and Site_B
+
+Now propagating between Site_A and Site_B:
+
+Propagating with input power = 0.00 dBm:
+Transceiver Site_A
+  GSNR (0.1nm, dB):          mode_1: 40.00, mode_2: 40.00
+  GSNR (signal bw, dB):      mode_1: 35.92, mode_2: 32.91
+  OSNR ASE (0.1nm, dB):      mode_1: 40.00, mode_2: 40.00
+  OSNR ASE (signal bw, dB):  mode_1: 35.92, mode_2: 32.91
+  CD (ps/nm):                0.00
+  PMD (ps):                  0.00
+  PDL (dB):                  0.00
+  Latency (ms):              0.00
+  Actual pch out (dBm):      mode_1: 0.00, mode_2: 0.00
+Roadm roadm Site A
+  Type_variety:            default
+  Reference loss (dB):     20.00
+  Actual loss (dB):        mode_1: 20.00, mode_2: 18.24
+  Reference pch out (dBm): -20.00
+  Actual pch out (dBm):    mode_1: -20.00, mode_2: -18.24
+Edfa booster A
+  type_variety:           std_medium_gain
+  effective gain(dB):     20.00
+  (before att_in and before output VOA)
+  noise figure (dB):      6.58
+  (including att_in)
+  pad att_in (dB):        0.00
+  Power In (dBm):         -1.40
+  Power Out (dBm):        18.61
+  Delta_P (dB):           0.00
+  target pch (dBm):       0.00
+  actual pch out (dBm):   mode_1: 0.01, mode_2: 1.77
+  output VOA (dB):        0.00
+Fiber          Span1
+  type_variety:                SSMF
+  length (km):                 80.00
+  pad att_in (dB):             0.00
+  total loss (dB):             16.00
+  (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):     -16.00
+  actual pch out (dBm):        mode_1: -15.99, mode_2: -14.22
+Edfa Edfa1
+  type_variety:           test
+  effective gain(dB):     16.00
+  (before att_in and before output VOA)
+  noise figure (dB):      8.86
+  (including att_in)
+  pad att_in (dB):        0.00
+  Power In (dBm):         2.62
+  Power Out (dBm):        18.62
+  Delta_P (dB):           0.00
+  target pch (dBm):       0.00
+  actual pch out (dBm):   mode_1: 0.02, mode_2: 1.78
+  output VOA (dB):        0.00
+Fiber          Span2
+  type_variety:                SSMF
+  length (km):                 80.00
+  pad att_in (dB):             0.00
+  total loss (dB):             16.00
+  (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):     -16.00
+  actual pch out (dBm):        mode_1: -15.98, mode_2: -14.21
+Edfa Edfa2
+  type_variety:           test_fixed_gain
+  effective gain(dB):     16.00
+  (before att_in and before output VOA)
+  noise figure (dB):      9.00
+  (including att_in)
+  pad att_in (dB):        4.00
+  Power In (dBm):         2.63
+  Power Out (dBm):        18.63
+  Delta_P (dB):           0.00
+  target pch (dBm):       0.00
+  actual pch out (dBm):   mode_1: 0.03, mode_2: 1.79
+  output VOA (dB):        0.00
+Fiber          Span3
+  type_variety:                SSMF
+  length (km):                 80.00
+  pad att_in (dB):             0.00
+  total loss (dB):             16.00
+  (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):     -16.00
+  actual pch out (dBm):        mode_1: -15.97, mode_2: -14.20
+Edfa Edfa3
+  type_variety:           test
+  effective gain(dB):     16.00
+  (before att_in and before output VOA)
+  noise figure (dB):      8.86
+  (including att_in)
+  pad att_in (dB):        0.00
+  Power In (dBm):         2.64
+  Power Out (dBm):        18.64
+  Delta_P (dB):           0.00
+  target pch (dBm):       0.00
+  actual pch out (dBm):   mode_1: 0.04, mode_2: 1.80
+  output VOA (dB):        0.00
+Fiber          Span4
+  type_variety:                SSMF
+  length (km):                 80.00
+  pad att_in (dB):             0.00
+  total loss (dB):             16.00
+  (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):     -16.00
+  actual pch out (dBm):        mode_1: -15.96, mode_2: -14.19
+Edfa Edfa4
+  type_variety:           test_fixed_gain
+  effective gain(dB):     16.00
+  (before att_in and before output VOA)
+  noise figure (dB):      9.00
+  (including att_in)
+  pad att_in (dB):        4.00
+  Power In (dBm):         2.65
+  Power Out (dBm):        18.65
+  Delta_P (dB):           0.00
+  target pch (dBm):       0.00
+  actual pch out (dBm):   mode_1: 0.05, mode_2: 1.81
+  output VOA (dB):        0.00
+Fiber          Span5
+  type_variety:                SSMF
+  length (km):                 80.00
+  pad att_in (dB):             0.00
+  total loss (dB):             16.00
+  (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):     -16.00
+  actual pch out (dBm):        mode_1: -15.95, mode_2: -14.18
+Edfa Edfa5
+  type_variety:           test
+  effective gain(dB):     16.00
+  (before att_in and before output VOA)
+  noise figure (dB):      8.86
+  (including att_in)
+  pad att_in (dB):        0.00
+  Power In (dBm):         2.66
+  Power Out (dBm):        18.66
+  Delta_P (dB):           0.00
+  target pch (dBm):       0.00
+  actual pch out (dBm):   mode_1: 0.05, mode_2: 1.82
+  output VOA (dB):        0.00
+Roadm roadm Site C
+  Type_variety:            default
+  Reference loss (dB):     20.00
+  Actual loss (dB):        mode_1: 20.05, mode_2: 20.06
+  Reference pch out (dBm): -20.00
+  Actual pch out (dBm):    mode_1: -20.00, mode_2: -18.24
+Edfa booster C
+  type_variety:           std_medium_gain
+  effective gain(dB):     20.00
+  (before att_in and before output VOA)
+  noise figure (dB):      6.58
+  (including att_in)
+  pad att_in (dB):        0.00
+  Power In (dBm):         -1.40
+  Power Out (dBm):        18.61
+  Delta_P (dB):           0.00
+  target pch (dBm):       0.00
+  actual pch out (dBm):   mode_1: 0.01, mode_2: 1.77
+  output VOA (dB):        0.00
+Fiber          Span6
+  type_variety:                SSMF
+  length (km):                 80.00
+  pad att_in (dB):             0.00
+  total loss (dB):             16.00
+  (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):     -16.00
+  actual pch out (dBm):        mode_1: -15.99, mode_2: -14.23
+Edfa Edfa6
+  type_variety:           test_fixed_gain
+  effective gain(dB):     16.00
+  (before att_in and before output VOA)
+  noise figure (dB):      9.00
+  (including att_in)
+  pad att_in (dB):        4.00
+  Power In (dBm):         2.62
+  Power Out (dBm):        18.62
+  Delta_P (dB):           0.00
+  target pch (dBm):       0.00
+  actual pch out (dBm):   mode_1: 0.02, mode_2: 1.78
+  output VOA (dB):        0.00
+Fiber          Span7
+  type_variety:                SSMF
+  length (km):                 80.00
+  pad att_in (dB):             0.00
+  total loss (dB):             16.00
+  (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):     -16.00
+  actual pch out (dBm):        mode_1: -15.98, mode_2: -14.21
+Edfa Edfa7
+  type_variety:           test
+  effective gain(dB):     16.00
+  (before att_in and before output VOA)
+  noise figure (dB):      8.86
+  (including att_in)
+  pad att_in (dB):        0.00
+  Power In (dBm):         2.63
+  Power Out (dBm):        18.63
+  Delta_P (dB):           0.00
+  target pch (dBm):       0.00
+  actual pch out (dBm):   mode_1: 0.03, mode_2: 1.79
+  output VOA (dB):        0.00
+Fiber          Span8
+  type_variety:                SSMF
+  length (km):                 80.00
+  pad att_in (dB):             0.00
+  total loss (dB):             16.00
+  (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):     -16.00
+  actual pch out (dBm):        mode_1: -15.97, mode_2: -14.20
+Edfa Edfa8
+  type_variety:           test_fixed_gain
+  effective gain(dB):     16.00
+  (before att_in and before output VOA)
+  noise figure (dB):      9.00
+  (including att_in)
+  pad att_in (dB):        4.00
+  Power In (dBm):         2.64
+  Power Out (dBm):        18.64
+  Delta_P (dB):           0.00
+  target pch (dBm):       0.00
+  actual pch out (dBm):   mode_1: 0.04, mode_2: 1.80
+  output VOA (dB):        0.00
+Fiber          Span9
+  type_variety:                SSMF
+  length (km):                 80.00
+  pad att_in (dB):             0.00
+  total loss (dB):             16.00
+  (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):     -16.00
+  actual pch out (dBm):        mode_1: -15.96, mode_2: -14.19
+Edfa Edfa9
+  type_variety:           test
+  effective gain(dB):     16.00
+  (before att_in and before output VOA)
+  noise figure (dB):      8.86
+  (including att_in)
+  pad att_in (dB):        0.00
+  Power In (dBm):         2.65
+  Power Out (dBm):        18.65
+  Delta_P (dB):           0.00
+  target pch (dBm):       0.00
+  actual pch out (dBm):   mode_1: 0.04, mode_2: 1.81
+  output VOA (dB):        0.00
+Fiber          Span10
+  type_variety:                SSMF
+  length (km):                 80.00
+  pad att_in (dB):             0.00
+  total loss (dB):             16.00
+  (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):     -16.00
+  actual pch out (dBm):        mode_1: -15.95, mode_2: -14.18
+Edfa Edfa10
+  type_variety:           test_fixed_gain
+  effective gain(dB):     16.00
+  (before att_in and before output VOA)
+  noise figure (dB):      9.00
+  (including att_in)
+  pad att_in (dB):        4.00
+  Power In (dBm):         2.66
+  Power Out (dBm):        18.66
+  Delta_P (dB):           0.00
+  target pch (dBm):       0.00
+  actual pch out (dBm):   mode_1: 0.05, mode_2: 1.82
+  output VOA (dB):        0.00
+Roadm roadm Site D
+  Type_variety:            default
+  Reference loss (dB):     20.00
+  Actual loss (dB):        mode_1: 20.05, mode_2: 20.06
+  Reference pch out (dBm): -20.00
+  Actual pch out (dBm):    mode_1: -20.00, mode_2: -18.24
+Edfa booster D
+  type_variety:           std_medium_gain
+  effective gain(dB):     20.00
+  (before att_in and before output VOA)
+  noise figure (dB):      6.58
+  (including att_in)
+  pad att_in (dB):        0.00
+  Power In (dBm):         -1.40
+  Power Out (dBm):        18.61
+  Delta_P (dB):           0.00
+  target pch (dBm):       0.00
+  actual pch out (dBm):   mode_1: 0.01, mode_2: 1.77
+  output VOA (dB):        0.00
+Fiber          Span11
+  type_variety:                SSMF
+  length (km):                 80.00
+  pad att_in (dB):             0.00
+  total loss (dB):             16.00
+  (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):     -16.00
+  actual pch out (dBm):        mode_1: -15.99, mode_2: -14.23
+Edfa Edfa11
+  type_variety:           test
+  effective gain(dB):     16.00
+  (before att_in and before output VOA)
+  noise figure (dB):      8.86
+  (including att_in)
+  pad att_in (dB):        0.00
+  Power In (dBm):         2.62
+  Power Out (dBm):        18.62
+  Delta_P (dB):           0.00
+  target pch (dBm):       0.00
+  actual pch out (dBm):   mode_1: 0.02, mode_2: 1.78
+  output VOA (dB):        0.00
+Fiber          Span12
+  type_variety:                SSMF
+  length (km):                 80.00
+  pad att_in (dB):             0.00
+  total loss (dB):             16.00
+  (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):     -16.00
+  actual pch out (dBm):        mode_1: -15.98, mode_2: -14.21
+Edfa Edfa12
+  type_variety:           test_fixed_gain
+  effective gain(dB):     16.00
+  (before att_in and before output VOA)
+  noise figure (dB):      9.00
+  (including att_in)
+  pad att_in (dB):        4.00
+  Power In (dBm):         2.63
+  Power Out (dBm):        18.63
+  Delta_P (dB):           0.00
+  target pch (dBm):       0.00
+  actual pch out (dBm):   mode_1: 0.03, mode_2: 1.79
+  output VOA (dB):        0.00
+Roadm roadm Site E
+  Type_variety:            default
+  Reference loss (dB):     20.00
+  Actual loss (dB):        mode_1: 20.03, mode_2: 20.03
+  Reference pch out (dBm): -20.00
+  Actual pch out (dBm):    mode_1: -20.00, mode_2: -18.24
+Edfa booster E
+  type_variety:           std_medium_gain
+  effective gain(dB):     20.00
+  (before att_in and before output VOA)
+  noise figure (dB):      6.58
+  (including att_in)
+  pad att_in (dB):        0.00
+  Power In (dBm):         -1.40
+  Power Out (dBm):        18.61
+  Delta_P (dB):           0.00
+  target pch (dBm):       0.00
+  actual pch out (dBm):   mode_1: 0.01, mode_2: 1.77
+  output VOA (dB):        0.00
+Fiber          Span13
+  type_variety:                SSMF
+  length (km):                 80.00
+  pad att_in (dB):             0.00
+  total loss (dB):             16.00
+  (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):     -16.00
+  actual pch out (dBm):        mode_1: -15.99, mode_2: -14.23
+Edfa Edfa13
+  type_variety:           test
+  effective gain(dB):     16.00
+  (before att_in and before output VOA)
+  noise figure (dB):      8.86
+  (including att_in)
+  pad att_in (dB):        0.00
+  Power In (dBm):         2.62
+  Power Out (dBm):        18.62
+  Delta_P (dB):           0.00
+  target pch (dBm):       0.00
+  actual pch out (dBm):   mode_1: 0.02, mode_2: 1.78
+  output VOA (dB):        0.00
+Fiber          Span14
+  type_variety:                SSMF
+  length (km):                 80.00
+  pad att_in (dB):             0.00
+  total loss (dB):             16.00
+  (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):     -16.00
+  actual pch out (dBm):        mode_1: -15.98, mode_2: -14.22
+Edfa Edfa14
+  type_variety:           test_fixed_gain
+  effective gain(dB):     16.00
+  (before att_in and before output VOA)
+  noise figure (dB):      9.00
+  (including att_in)
+  pad att_in (dB):        4.00
+  Power In (dBm):         2.63
+  Power Out (dBm):        18.63
+  Delta_P (dB):           0.00
+  target pch (dBm):       0.00
+  actual pch out (dBm):   mode_1: 0.03, mode_2: 1.79
+  output VOA (dB):        0.00
+Fiber          Span15
+  type_variety:                SSMF
+  length (km):                 80.00
+  pad att_in (dB):             0.00
+  total loss (dB):             16.00
+  (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):     -16.00
+  actual pch out (dBm):        mode_1: -15.97, mode_2: -14.20
+Edfa Edfa15
+  type_variety:           test
+  effective gain(dB):     16.00
+  (before att_in and before output VOA)
+  noise figure (dB):      8.86
+  (including att_in)
+  pad att_in (dB):        0.00
+  Power In (dBm):         2.64
+  Power Out (dBm):        18.64
+  Delta_P (dB):           0.00
+  target pch (dBm):       0.00
+  actual pch out (dBm):   mode_1: 0.03, mode_2: 1.80
+  output VOA (dB):        0.00
+Roadm roadm Site B
+  Type_variety:            default
+  Reference loss (dB):     20.00
+  Actual loss (dB):        mode_1: 20.03, mode_2: 20.04
+  Reference pch out (dBm): -20.00
+  Actual pch out (dBm):    mode_1: -20.00, mode_2: -18.24
+Transceiver Site_B
+  GSNR (0.1nm, dB):          mode_1: 18.02, mode_2: 20.22
+  GSNR (signal bw, dB):      mode_1: 13.94, mode_2: 13.12
+  OSNR ASE (0.1nm, dB):      mode_1: 19.69, mode_2: 21.35
+  OSNR ASE (signal bw, dB):  mode_1: 15.61, mode_2: 14.26
+  CD (ps/nm):                20040.00
+  PMD (ps):                  1.39
+  PDL (dB):                  0.00
+  Latency (ms):              5.88
+  Actual pch out (dBm):      mode_1: 0.00, mode_2: 0.00
+
+Transmission result for input power = 0.00 dBm:
+  Final GSNR (0.1 nm): 18.94 dB
+
+(No source node specified: picked Site_A)
+
+(No destination node specified: picked Site_B)

tests/invocation/transmission_main_example

@@ -15,6 +15,8 @@ Transceiver Site_A
   CD (ps/nm):                0.00
   PMD (ps):                  0.00
   PDL (dB):                  0.00
+  Latency (ms):              0.00
+  Actual pch out (dBm):      0.00
 Fiber          Span1
   type_variety:                SSMF
   length (km):                 80.00
@@ -22,7 +24,8 @@ Fiber          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)
-  pch out (dBm): -17.00
+  reference pch out (dBm):     -17.00
+  actual pch out (dBm):        -17.00
 Edfa Edfa1
   type_variety:           std_low_gain
   effective gain(dB):     15.00
@@ -34,19 +37,21 @@ Edfa Edfa1
   Power Out (dBm):        16.82
   Delta_P (dB):           -2.00
   target pch (dBm):       -2.00
-  effective pch (dBm):    -2.00
+  actual pch out (dBm):   -1.99
   output VOA (dB):        0.00
 Transceiver Site_B
-  GSNR (0.1nm, dB):          31.17
-  GSNR (signal bw, dB):      27.09
+  GSNR (0.1nm, dB):          31.18
+  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
+  Actual pch out (dBm):      0.00
 
 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 +15,8 @@ Transceiver Site_A
   CD (ps/nm):                0.00
   PMD (ps):                  0.00
   PDL (dB):                  0.00
+  Latency (ms):              0.00
+  Actual pch out (dBm):      0.00
 RamanFiber          Span1
   type_variety:                SSMF
   length (km):                 80.00
@@ -22,112 +24,117 @@ 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)
-  pch out (dBm): -7.71
+  reference pch out (dBm):     -7.20
+  actual pch out (dBm):        -7.47
+  reference gain (dB):         9.74
+  actual gain (dB):            9.8
 Fused Fused1
   loss (dB): 0.00
 Edfa Edfa1
   type_variety:           std_low_gain
-  effective gain(dB):     5.71
+  effective gain(dB):     5.26
   (before att_in and before output VOA)
-  noise figure (dB):      13.29
+  noise figure (dB):      13.74
   (including att_in)
-  pad att_in (dB):        2.29
-  Power In (dBm):         11.11
-  Power Out (dBm):        16.82
+  pad att_in (dB):        2.74
+  Power In (dBm):         11.61
+  Power Out (dBm):        16.87
   Delta_P (dB):           -2.00
   target pch (dBm):       -2.00
-  effective pch (dBm):    -2.00
+  actual pch out (dBm):   -2.21
   output VOA (dB):        0.00
 Transceiver Site_B
   GSNR (0.1nm, dB):          31.44
-  GSNR (signal bw, dB):      27.36
-  OSNR ASE (0.1nm, dB):      34.22
-  OSNR ASE (signal bw, dB):  30.14
+  GSNR (signal bw, dB):      27.35
+  OSNR ASE (0.1nm, dB):      34.24
+  OSNR ASE (signal bw, dB):  30.16
   CD (ps/nm):                1336.00
   PMD (ps):                  0.36
   PDL (dB):                  0.00
+  Latency (ms):              0.39
+  Actual pch out (dBm):      0.00
 
 Transmission result for input power = 0.00 dBm:
   Final GSNR (0.1 nm): 31.44 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                    191.35                      0.18                       31.61                       31.43                       28.51
-    2                    191.40                      0.14                       31.59                       31.34                       28.45
-    3                    191.45                      0.11                       31.57                       31.26                       28.40
-    4                    191.50                      0.07                       31.55                       31.17                       28.35
-    5                    191.55                      0.02                       31.52                       31.09                       28.29
-    6                    191.60                     -0.04                       31.49                       31.02                       28.24
-    7                    191.65                     -0.10                       31.46                       30.94                       28.18
-    8                    191.70                     -0.16                       31.43                       30.86                       28.13
-    9                    191.75                     -0.21                       31.40                       30.79                       28.07
-   10                    191.80                     -0.28                       31.36                       30.71                       28.02
-   11                    191.85                     -0.34                       31.33                       30.64                       27.96
-   12                    191.90                     -0.40                       31.29                       30.57                       27.91
-   13                    191.95                     -0.47                       31.26                       30.50                       27.85
-   14                    192.00                     -0.53                       31.22                       30.43                       27.80
-   15                    192.05                     -0.60                       31.18                       30.36                       27.74
-   16                    192.10                     -0.66                       31.15                       30.30                       27.69
-   17                    192.15                     -0.73                       31.11                       30.23                       27.64
-   18                    192.20                     -0.79                       31.07                       30.16                       27.58
-   19                    192.25                     -0.86                       31.04                       30.17                       27.57
-   20                    192.30                     -0.94                       30.99                       30.18                       27.56
-   21                    192.35                     -1.01                       30.95                       30.19                       27.54
-   22                    192.40                     -1.08                       30.91                       30.20                       27.53
-   23                    192.45                     -1.16                       30.86                       30.20                       27.51
-   24                    192.50                     -1.23                       30.82                       30.21                       27.49
-   25                    192.55                     -1.30                       30.78                       30.22                       27.48
-   26                    192.60                     -1.37                       30.74                       30.23                       27.46
-   27                    192.65                     -1.44                       30.70                       30.23                       27.45
-   28                    192.70                     -1.51                       30.65                       30.24                       27.43
-   29                    192.75                     -1.58                       30.61                       30.25                       27.42
-   30                    192.80                     -1.65                       30.57                       30.26                       27.40
-   31                    192.85                     -1.72                       30.53                       30.27                       27.38
-   32                    192.90                     -1.79                       30.48                       30.27                       27.37
-   33                    192.95                     -1.86                       30.44                       30.28                       27.35
-   34                    193.00                     -1.93                       30.40                       30.29                       27.33
-   35                    193.05                     -2.00                       30.35                       30.30                       27.32
-   36                    193.10                     -2.07                       30.31                       30.30                       27.30
-   37                    193.15                     -2.14                       30.27                       30.31                       27.28
-   38                    193.20                     -2.20                       30.22                       30.33                       27.27
-   39                    193.25                     -2.27                       30.18                       30.35                       27.25
-   40                    193.30                     -2.34                       30.14                       30.37                       27.24
-   41                    193.35                     -2.41                       30.09                       30.38                       27.23
-   42                    193.40                     -2.48                       30.05                       30.40                       27.21
-   43                    193.45                     -2.55                       30.00                       30.42                       27.20
-   44                    193.50                     -2.61                       29.96                       30.44                       27.18
-   45                    193.55                     -2.69                       29.91                       30.46                       27.16
-   46                    193.60                     -2.76                       29.86                       30.47                       27.15
-   47                    193.65                     -2.83                       29.82                       30.49                       27.13
-   48                    193.70                     -2.90                       29.77                       30.51                       27.11
-   49                    193.75                     -2.98                       29.72                       30.53                       27.10
-   50                    193.80                     -3.05                       29.67                       30.55                       27.08
-   51                    193.85                     -3.12                       29.62                       30.57                       27.06
-   52                    193.90                     -3.19                       29.58                       30.58                       27.04
-   53                    193.95                     -3.26                       29.53                       30.60                       27.02
-   54                    194.00                     -3.33                       29.48                       30.62                       27.00
-   55                    194.05                     -3.41                       29.43                       30.64                       26.98
-   56                    194.10                     -3.48                       29.38                       30.66                       26.96
-   57                    194.15                     -3.55                       29.33                       30.72                       26.96
-   58                    194.20                     -3.63                       29.28                       30.78                       26.95
-   59                    194.25                     -3.70                       29.23                       30.83                       26.95
-   60                    194.30                     -3.77                       29.18                       30.89                       26.94
-   61                    194.35                     -3.85                       29.12                       30.96                       26.93
-   62                    194.40                     -3.92                       29.07                       31.02                       26.93
-   63                    194.45                     -3.99                       29.02                       31.08                       26.92
-   64                    194.50                     -4.06                       28.97                       31.14                       26.91
-   65                    194.55                     -4.13                       28.92                       31.21                       26.91
-   66                    194.60                     -4.19                       28.88                       31.27                       26.90
-   67                    194.65                     -4.26                       28.83                       31.34                       26.89
-   68                    194.70                     -4.33                       28.78                       31.41                       26.89
-   69                    194.75                     -4.39                       28.73                       31.47                       26.88
-   70                    194.80                     -4.46                       28.68                       31.54                       26.87
-   71                    194.85                     -4.52                       28.64                       31.61                       26.86
-   72                    194.90                     -4.59                       28.59                       31.68                       26.86
-   73                    194.95                     -4.65                       28.54                       31.76                       26.85
-   74                    195.00                     -4.72                       28.49                       31.83                       26.84
-   75                    195.05                     -4.78                       28.44                       31.91                       26.83
-   76                    195.10                     -4.85                       28.39                       31.91                       26.79
+    1                 191.35000                      0.27                       31.66                       31.55                       28.60
+    2                 191.40000                      0.24                       31.64                       31.46                       28.54
+    3                 191.45000                      0.20                       31.62                       31.37                       28.48
+    4                 191.50000                      0.17                       31.60                       31.28                       28.43
+    5                 191.55000                      0.11                       31.57                       31.20                       28.37
+    6                 191.60000                      0.05                       31.54                       31.11                       28.31
+    7                 191.65000                     -0.01                       31.51                       31.03                       28.25
+    8                 191.70000                     -0.07                       31.47                       30.95                       28.20
+    9                 191.75000                     -0.13                       31.44                       30.87                       28.14
+   10                 191.80000                     -0.19                       31.41                       30.79                       28.08
+   11                 191.85000                     -0.26                       31.37                       30.72                       28.02
+   12                 191.90000                     -0.32                       31.34                       30.64                       27.97
+   13                 191.95000                     -0.39                       31.30                       30.57                       27.91
+   14                 192.00000                     -0.45                       31.26                       30.50                       27.85
+   15                 192.05000                     -0.52                       31.23                       30.42                       27.80
+   16                 192.10000                     -0.59                       31.19                       30.35                       27.74
+   17                 192.15000                     -0.66                       31.15                       30.29                       27.69
+   18                 192.20000                     -0.72                       31.11                       30.22                       27.63
+   19                 192.25000                     -0.79                       31.07                       30.22                       27.62
+   20                 192.30000                     -0.87                       31.03                       30.22                       27.60
+   21                 192.35000                     -0.95                       30.99                       30.23                       27.58
+   22                 192.40000                     -1.02                       30.94                       30.23                       27.56
+   23                 192.45000                     -1.10                       30.90                       30.23                       27.54
+   24                 192.50000                     -1.18                       30.85                       30.24                       27.52
+   25                 192.55000                     -1.25                       30.81                       30.24                       27.51
+   26                 192.60000                     -1.32                       30.77                       30.24                       27.49
+   27                 192.65000                     -1.39                       30.73                       30.25                       27.47
+   28                 192.70000                     -1.46                       30.68                       30.25                       27.45
+   29                 192.75000                     -1.53                       30.64                       30.25                       27.43
+   30                 192.80000                     -1.60                       30.60                       30.26                       27.41
+   31                 192.85000                     -1.67                       30.55                       30.26                       27.39
+   32                 192.90000                     -1.74                       30.51                       30.26                       27.37
+   33                 192.95000                     -1.81                       30.47                       30.27                       27.35
+   34                 193.00000                     -1.89                       30.42                       30.27                       27.33
+   35                 193.05000                     -1.95                       30.38                       30.27                       27.32
+   36                 193.10000                     -2.02                       30.34                       30.28                       27.30
+   37                 193.15000                     -2.09                       30.29                       30.28                       27.28
+   38                 193.20000                     -2.16                       30.25                       30.29                       27.26
+   39                 193.25000                     -2.23                       30.20                       30.31                       27.24
+   40                 193.30000                     -2.30                       30.16                       30.32                       27.23
+   41                 193.35000                     -2.37                       30.11                       30.33                       27.21
+   42                 193.40000                     -2.44                       30.07                       30.35                       27.20
+   43                 193.45000                     -2.51                       30.02                       30.36                       27.18
+   44                 193.50000                     -2.58                       29.98                       30.37                       27.16
+   45                 193.55000                     -2.65                       29.93                       30.39                       27.14
+   46                 193.60000                     -2.72                       29.88                       30.40                       27.12
+   47                 193.65000                     -2.80                       29.83                       30.41                       27.10
+   48                 193.70000                     -2.87                       29.79                       30.43                       27.08
+   49                 193.75000                     -2.94                       29.74                       30.44                       27.06
+   50                 193.80000                     -3.02                       29.69                       30.45                       27.04
+   51                 193.85000                     -3.09                       29.64                       30.47                       27.02
+   52                 193.90000                     -3.16                       29.59                       30.48                       27.00
+   53                 193.95000                     -3.24                       29.54                       30.50                       26.98
+   54                 194.00000                     -3.31                       29.49                       30.51                       26.96
+   55                 194.05000                     -3.38                       29.44                       30.52                       26.94
+   56                 194.10000                     -3.46                       29.39                       30.54                       26.91
+   57                 194.15000                     -3.53                       29.33                       30.59                       26.91
+   58                 194.20000                     -3.61                       29.28                       30.64                       26.90
+   59                 194.25000                     -3.68                       29.23                       30.70                       26.89
+   60                 194.30000                     -3.76                       29.18                       30.75                       26.89
+   61                 194.35000                     -3.83                       29.13                       30.81                       26.88
+   62                 194.40000                     -3.91                       29.07                       30.87                       26.87
+   63                 194.45000                     -3.98                       29.02                       30.93                       26.86
+   64                 194.50000                     -4.05                       28.97                       30.98                       26.85
+   65                 194.55000                     -4.12                       28.92                       31.04                       26.84
+   66                 194.60000                     -4.19                       28.87                       31.10                       26.84
+   67                 194.65000                     -4.26                       28.82                       31.17                       26.83
+   68                 194.70000                     -4.32                       28.77                       31.23                       26.82
+   69                 194.75000                     -4.39                       28.72                       31.29                       26.81
+   70                 194.80000                     -4.46                       28.68                       31.35                       26.80
+   71                 194.85000                     -4.52                       28.63                       31.42                       26.79
+   72                 194.90000                     -4.59                       28.58                       31.48                       26.78
+   73                 194.95000                     -4.66                       28.53                       31.55                       26.77
+   74                 195.00000                     -4.72                       28.48                       31.62                       26.76
+   75                 195.05000                     -4.79                       28.43                       31.69                       26.75
+   76                 195.10000                     -4.86                       28.38                       31.69                       26.71
 
 (No source node specified: picked Site_A)
 

tests/invocation/transmission_main_example_long

@@ -0,0 +1,448 @@
+There are 96 channels propagating
+Power mode is set to True
+=> it can be modified in eqpt_config.json - Span
+
+There are 15 fiber spans over 1200 km between Site_A and Site_B
+
+Now propagating between Site_A and Site_B:
+
+Propagating with input power = 0.00 dBm:
+Transceiver Site_A
+  GSNR (0.1nm, dB):          100.00
+  GSNR (signal bw, dB):      95.92
+  OSNR ASE (0.1nm, dB):      100.00
+  OSNR ASE (signal bw, dB):  95.92
+  CD (ps/nm):                0.00
+  PMD (ps):                  0.00
+  PDL (dB):                  0.00
+  Latency (ms):              0.00
+  Actual pch out (dBm):      0.00
+Roadm roadm Site A
+  Type_variety:            default
+  Reference loss (dB):     20.00
+  Actual loss (dB):        20.00
+  Reference pch out (dBm): -20.00
+  Actual pch out (dBm):    -20.00
+Edfa booster A
+  type_variety:           std_medium_gain
+  effective gain(dB):     20.00
+  (before att_in and before output VOA)
+  noise figure (dB):      6.58
+  (including att_in)
+  pad att_in (dB):        0.00
+  Power In (dBm):         -0.18
+  Power Out (dBm):        19.83
+  Delta_P (dB):           0.00
+  target pch (dBm):       0.00
+  actual pch out (dBm):   0.01
+  output VOA (dB):        0.00
+Fiber          Span1
+  type_variety:                SSMF
+  length (km):                 80.00
+  pad att_in (dB):             0.00
+  total loss (dB):             16.00
+  (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):     -16.00
+  actual pch out (dBm):        -15.99
+Edfa Edfa1
+  type_variety:           test
+  effective gain(dB):     16.00
+  (before att_in and before output VOA)
+  noise figure (dB):      8.86
+  (including att_in)
+  pad att_in (dB):        0.00
+  Power In (dBm):         3.84
+  Power Out (dBm):        19.84
+  Delta_P (dB):           0.00
+  target pch (dBm):       0.00
+  actual pch out (dBm):   0.02
+  output VOA (dB):        0.00
+Fiber          Span2
+  type_variety:                SSMF
+  length (km):                 80.00
+  pad att_in (dB):             0.00
+  total loss (dB):             16.00
+  (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):     -16.00
+  actual pch out (dBm):        -15.98
+Edfa Edfa2
+  type_variety:           test_fixed_gain
+  effective gain(dB):     16.00
+  (before att_in and before output VOA)
+  noise figure (dB):      9.00
+  (including att_in)
+  pad att_in (dB):        4.00
+  Power In (dBm):         3.84
+  Power Out (dBm):        19.85
+  Delta_P (dB):           0.00
+  target pch (dBm):       0.00
+  actual pch out (dBm):   0.03
+  output VOA (dB):        0.00
+Fiber          Span3
+  type_variety:                SSMF
+  length (km):                 80.00
+  pad att_in (dB):             0.00
+  total loss (dB):             16.00
+  (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):     -16.00
+  actual pch out (dBm):        -15.97
+Edfa Edfa3
+  type_variety:           test
+  effective gain(dB):     16.00
+  (before att_in and before output VOA)
+  noise figure (dB):      8.86
+  (including att_in)
+  pad att_in (dB):        0.00
+  Power In (dBm):         3.85
+  Power Out (dBm):        19.86
+  Delta_P (dB):           0.00
+  target pch (dBm):       0.00
+  actual pch out (dBm):   0.04
+  output VOA (dB):        0.00
+Fiber          Span4
+  type_variety:                SSMF
+  length (km):                 80.00
+  pad att_in (dB):             0.00
+  total loss (dB):             16.00
+  (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):     -16.00
+  actual pch out (dBm):        -15.96
+Edfa Edfa4
+  type_variety:           test_fixed_gain
+  effective gain(dB):     16.00
+  (before att_in and before output VOA)
+  noise figure (dB):      9.00
+  (including att_in)
+  pad att_in (dB):        4.00
+  Power In (dBm):         3.86
+  Power Out (dBm):        19.87
+  Delta_P (dB):           0.00
+  target pch (dBm):       0.00
+  actual pch out (dBm):   0.05
+  output VOA (dB):        0.00
+Fiber          Span5
+  type_variety:                SSMF
+  length (km):                 80.00
+  pad att_in (dB):             0.00
+  total loss (dB):             16.00
+  (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):     -16.00
+  actual pch out (dBm):        -15.95
+Edfa Edfa5
+  type_variety:           test
+  effective gain(dB):     16.00
+  (before att_in and before output VOA)
+  noise figure (dB):      8.86
+  (including att_in)
+  pad att_in (dB):        0.00
+  Power In (dBm):         3.87
+  Power Out (dBm):        19.88
+  Delta_P (dB):           0.00
+  target pch (dBm):       0.00
+  actual pch out (dBm):   0.06
+  output VOA (dB):        0.00
+Roadm roadm Site C
+  Type_variety:            default
+  Reference loss (dB):     20.00
+  Actual loss (dB):        20.06
+  Reference pch out (dBm): -20.00
+  Actual pch out (dBm):    -20.00
+Edfa booster C
+  type_variety:           std_medium_gain
+  effective gain(dB):     20.00
+  (before att_in and before output VOA)
+  noise figure (dB):      6.58
+  (including att_in)
+  pad att_in (dB):        0.00
+  Power In (dBm):         -0.18
+  Power Out (dBm):        19.83
+  Delta_P (dB):           0.00
+  target pch (dBm):       0.00
+  actual pch out (dBm):   0.01
+  output VOA (dB):        0.00
+Fiber          Span6
+  type_variety:                SSMF
+  length (km):                 80.00
+  pad att_in (dB):             0.00
+  total loss (dB):             16.00
+  (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):     -16.00
+  actual pch out (dBm):        -15.99
+Edfa Edfa6
+  type_variety:           test_fixed_gain
+  effective gain(dB):     16.00
+  (before att_in and before output VOA)
+  noise figure (dB):      9.00
+  (including att_in)
+  pad att_in (dB):        4.00
+  Power In (dBm):         3.84
+  Power Out (dBm):        19.84
+  Delta_P (dB):           0.00
+  target pch (dBm):       0.00
+  actual pch out (dBm):   0.02
+  output VOA (dB):        0.00
+Fiber          Span7
+  type_variety:                SSMF
+  length (km):                 80.00
+  pad att_in (dB):             0.00
+  total loss (dB):             16.00
+  (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):     -16.00
+  actual pch out (dBm):        -15.98
+Edfa Edfa7
+  type_variety:           test
+  effective gain(dB):     16.00
+  (before att_in and before output VOA)
+  noise figure (dB):      8.86
+  (including att_in)
+  pad att_in (dB):        0.00
+  Power In (dBm):         3.84
+  Power Out (dBm):        19.85
+  Delta_P (dB):           0.00
+  target pch (dBm):       0.00
+  actual pch out (dBm):   0.03
+  output VOA (dB):        0.00
+Fiber          Span8
+  type_variety:                SSMF
+  length (km):                 80.00
+  pad att_in (dB):             0.00
+  total loss (dB):             16.00
+  (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):     -16.00
+  actual pch out (dBm):        -15.97
+Edfa Edfa8
+  type_variety:           test_fixed_gain
+  effective gain(dB):     16.00
+  (before att_in and before output VOA)
+  noise figure (dB):      9.00
+  (including att_in)
+  pad att_in (dB):        4.00
+  Power In (dBm):         3.85
+  Power Out (dBm):        19.86
+  Delta_P (dB):           0.00
+  target pch (dBm):       0.00
+  actual pch out (dBm):   0.04
+  output VOA (dB):        0.00
+Fiber          Span9
+  type_variety:                SSMF
+  length (km):                 80.00
+  pad att_in (dB):             0.00
+  total loss (dB):             16.00
+  (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):     -16.00
+  actual pch out (dBm):        -15.96
+Edfa Edfa9
+  type_variety:           test
+  effective gain(dB):     16.00
+  (before att_in and before output VOA)
+  noise figure (dB):      8.86
+  (including att_in)
+  pad att_in (dB):        0.00
+  Power In (dBm):         3.86
+  Power Out (dBm):        19.87
+  Delta_P (dB):           0.00
+  target pch (dBm):       0.00
+  actual pch out (dBm):   0.05
+  output VOA (dB):        0.00
+Fiber          Span10
+  type_variety:                SSMF
+  length (km):                 80.00
+  pad att_in (dB):             0.00
+  total loss (dB):             16.00
+  (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):     -16.00
+  actual pch out (dBm):        -15.95
+Edfa Edfa10
+  type_variety:           test_fixed_gain
+  effective gain(dB):     16.00
+  (before att_in and before output VOA)
+  noise figure (dB):      9.00
+  (including att_in)
+  pad att_in (dB):        4.00
+  Power In (dBm):         3.87
+  Power Out (dBm):        19.88
+  Delta_P (dB):           0.00
+  target pch (dBm):       0.00
+  actual pch out (dBm):   0.06
+  output VOA (dB):        0.00
+Roadm roadm Site D
+  Type_variety:            default
+  Reference loss (dB):     20.00
+  Actual loss (dB):        20.06
+  Reference pch out (dBm): -20.00
+  Actual pch out (dBm):    -20.00
+Edfa booster D
+  type_variety:           std_medium_gain
+  effective gain(dB):     20.00
+  (before att_in and before output VOA)
+  noise figure (dB):      6.58
+  (including att_in)
+  pad att_in (dB):        0.00
+  Power In (dBm):         -0.18
+  Power Out (dBm):        19.83
+  Delta_P (dB):           0.00
+  target pch (dBm):       0.00
+  actual pch out (dBm):   0.01
+  output VOA (dB):        0.00
+Fiber          Span11
+  type_variety:                SSMF
+  length (km):                 80.00
+  pad att_in (dB):             0.00
+  total loss (dB):             16.00
+  (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):     -16.00
+  actual pch out (dBm):        -15.99
+Edfa Edfa11
+  type_variety:           test
+  effective gain(dB):     16.00
+  (before att_in and before output VOA)
+  noise figure (dB):      8.86
+  (including att_in)
+  pad att_in (dB):        0.00
+  Power In (dBm):         3.83
+  Power Out (dBm):        19.84
+  Delta_P (dB):           0.00
+  target pch (dBm):       0.00
+  actual pch out (dBm):   0.02
+  output VOA (dB):        0.00
+Fiber          Span12
+  type_variety:                SSMF
+  length (km):                 80.00
+  pad att_in (dB):             0.00
+  total loss (dB):             16.00
+  (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):     -16.00
+  actual pch out (dBm):        -15.98
+Edfa Edfa12
+  type_variety:           test_fixed_gain
+  effective gain(dB):     16.00
+  (before att_in and before output VOA)
+  noise figure (dB):      9.00
+  (including att_in)
+  pad att_in (dB):        4.00
+  Power In (dBm):         3.84
+  Power Out (dBm):        19.85
+  Delta_P (dB):           0.00
+  target pch (dBm):       0.00
+  actual pch out (dBm):   0.03
+  output VOA (dB):        0.00
+Roadm roadm Site E
+  Type_variety:            default
+  Reference loss (dB):     20.00
+  Actual loss (dB):        20.03
+  Reference pch out (dBm): -20.00
+  Actual pch out (dBm):    -20.00
+Edfa booster E
+  type_variety:           std_medium_gain
+  effective gain(dB):     20.00
+  (before att_in and before output VOA)
+  noise figure (dB):      6.58
+  (including att_in)
+  pad att_in (dB):        0.00
+  Power In (dBm):         -0.18
+  Power Out (dBm):        19.83
+  Delta_P (dB):           0.00
+  target pch (dBm):       0.00
+  actual pch out (dBm):   0.01
+  output VOA (dB):        0.00
+Fiber          Span13
+  type_variety:                SSMF
+  length (km):                 80.00
+  pad att_in (dB):             0.00
+  total loss (dB):             16.00
+  (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):     -16.00
+  actual pch out (dBm):        -15.99
+Edfa Edfa13
+  type_variety:           test
+  effective gain(dB):     16.00
+  (before att_in and before output VOA)
+  noise figure (dB):      8.86
+  (including att_in)
+  pad att_in (dB):        0.00
+  Power In (dBm):         3.83
+  Power Out (dBm):        19.84
+  Delta_P (dB):           0.00
+  target pch (dBm):       0.00
+  actual pch out (dBm):   0.02
+  output VOA (dB):        0.00
+Fiber          Span14
+  type_variety:                SSMF
+  length (km):                 80.00
+  pad att_in (dB):             0.00
+  total loss (dB):             16.00
+  (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):     -16.00
+  actual pch out (dBm):        -15.98
+Edfa Edfa14
+  type_variety:           test_fixed_gain
+  effective gain(dB):     16.00
+  (before att_in and before output VOA)
+  noise figure (dB):      9.00
+  (including att_in)
+  pad att_in (dB):        4.00
+  Power In (dBm):         3.84
+  Power Out (dBm):        19.85
+  Delta_P (dB):           0.00
+  target pch (dBm):       0.00
+  actual pch out (dBm):   0.03
+  output VOA (dB):        0.00
+Fiber          Span15
+  type_variety:                SSMF
+  length (km):                 80.00
+  pad att_in (dB):             0.00
+  total loss (dB):             16.00
+  (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):     -16.00
+  actual pch out (dBm):        -15.97
+Edfa Edfa15
+  type_variety:           test
+  effective gain(dB):     16.00
+  (before att_in and before output VOA)
+  noise figure (dB):      8.86
+  (including att_in)
+  pad att_in (dB):        0.00
+  Power In (dBm):         3.85
+  Power Out (dBm):        19.86
+  Delta_P (dB):           0.00
+  target pch (dBm):       0.00
+  actual pch out (dBm):   0.04
+  output VOA (dB):        0.00
+Roadm roadm Site B
+  Type_variety:            default
+  Reference loss (dB):     20.00
+  Actual loss (dB):        20.04
+  Reference pch out (dBm): -20.00
+  Actual pch out (dBm):    -20.00
+Transceiver Site_B
+  GSNR (0.1nm, dB):          17.84
+  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
+  Actual pch out (dBm):      0.00
+
+Transmission result for input power = 0.00 dBm:
+  Final GSNR (0.1 nm): 17.84 dB
+
+(No source node specified: picked Site_A)
+
+(No destination node specified: picked Site_B)

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
 
@@ -251,9 +15,14 @@ Transceiver trx Lannion_CAS
   CD (ps/nm):                0.00
   PMD (ps):                  0.00
   PDL (dB):                  0.00
+  Latency (ms):              0.00
+  Actual pch out (dBm):      3.00
 Roadm roadm Lannion_CAS
-  effective loss (dB):  23.00
-  pch out (dBm):        -20.00
+  Type_variety:            default
+  Reference loss (dB):     23.00
+  Actual loss (dB):        23.00
+  Reference pch out (dBm): -20.00
+  Actual pch out (dBm):    -20.00
 Edfa east edfa in Lannion_CAS to Corlay
   type_variety:           test
   effective gain(dB):     21.18
@@ -263,9 +32,9 @@ Edfa east edfa in Lannion_CAS to Corlay
   pad att_in (dB):        0.00
   Power In (dBm):         -0.18
   Power Out (dBm):        21.01
-  Delta_P (dB):           0.00
-  target pch (dBm):       3.00
-  effective pch (dBm):    1.18
+  Delta_P (dB):           -1.82
+  target pch (dBm):       1.18
+  actual pch out (dBm):   1.18
   output VOA (dB):        0.00
 Fiber          fiber (Lannion_CAS → Corlay)-F061
   type_variety:                SSMF
@@ -274,7 +43,8 @@ Fiber          fiber (Lannion_CAS → Corlay)-F061
   total loss (dB):             4.00
   (includes conn loss (dB) in: 0.00 out: 0.00)
   (conn loss out includes EOL margin defined in eqpt_config.json)
-  pch out (dBm): -2.82
+  reference pch out (dBm):     -2.82
+  actual pch out (dBm):        -2.81
 Fused west fused spans in Corlay
   loss (dB): 1.00
 Fiber          fiber (Corlay → Loudeac)-F010
@@ -284,7 +54,8 @@ Fiber          fiber (Corlay → Loudeac)-F010
   total loss (dB):             10.00
   (includes conn loss (dB) in: 0.00 out: 0.00)
   (conn loss out includes EOL margin defined in eqpt_config.json)
-  pch out (dBm): -13.82
+  reference pch out (dBm):     -13.82
+  actual pch out (dBm):        -13.81
 Fused west fused spans in Loudeac
   loss (dB): 1.00
 Fiber          fiber (Loudeac → Lorient_KMA)-F054
@@ -294,34 +65,40 @@ Fiber          fiber (Loudeac → Lorient_KMA)-F054
   total loss (dB):             12.00
   (includes conn loss (dB) in: 0.00 out: 0.00)
   (conn loss out includes EOL margin defined in eqpt_config.json)
-  pch out (dBm): -26.82
+  reference pch out (dBm):     -26.82
+  actual pch out (dBm):        -26.81
 Edfa west edfa in Lorient_KMA to Loudeac
-  type_variety:           test
-  effective gain(dB):     28.00
+  type_variety:           std_medium_gain
+  effective gain(dB):     27.99
   (before att_in and before output VOA)
-  noise figure (dB):      5.76
+  noise figure (dB):      5.98
   (including att_in)
   pad att_in (dB):        0.00
   Power In (dBm):         -6.99
-  Power Out (dBm):        21.04
+  Power Out (dBm):        21.03
   Delta_P (dB):           -1.82
   target pch (dBm):       1.18
-  effective pch (dBm):    1.18
+  actual pch out (dBm):   1.21
   output VOA (dB):        0.00
 Roadm roadm Lorient_KMA
-  effective loss (dB):  21.18
-  pch out (dBm):        -20.00
+  Type_variety:            default
+  Reference loss (dB):     21.18
+  Actual loss (dB):        21.21
+  Reference pch out (dBm): -20.00
+  Actual pch out (dBm):    -20.00
 Transceiver trx Lorient_KMA
-  GSNR (0.1nm, dB):          23.94
-  GSNR (signal bw, dB):      19.85
-  OSNR ASE (0.1nm, dB):      24.29
-  OSNR ASE (signal bw, dB):  20.20
+  GSNR (0.1nm, dB):          23.77
+  GSNR (signal bw, dB):      19.69
+  OSNR ASE (0.1nm, dB):      24.11
+  OSNR ASE (signal bw, dB):  20.03
   CD (ps/nm):                2171.00
   PMD (ps):                  0.46
   PDL (dB):                  0.00
+  Latency (ms):              0.64
+  Actual pch out (dBm):      3.00
 
 Transmission result for input power = 3.00 dBm:
-  Final GSNR (0.1 nm): 23.94 dB
+  Final GSNR (0.1 nm): 23.77 dB
 
 (Invalid source node 'lannion' replaced with trx Lannion_CAS)
 

tests/test_amplifier.py

@@ -4,11 +4,12 @@
 # @Date:   2018-02-02 14:06:55
 
 from numpy import zeros, array
-from gnpy.core.elements import Transceiver, Edfa
-from gnpy.core.utils import automatic_fmax, lin2db, db2lin, merge_amplifier_restrictions
-from gnpy.core.info import create_input_spectral_information, Pref
-from gnpy.core.network import build_network
-from gnpy.tools.json_io import load_network, load_equipment
+from numpy.testing import assert_allclose
+from gnpy.core.elements import Transceiver, Edfa, Fiber
+from gnpy.core.utils import automatic_fmax, lin2db, db2lin, merge_amplifier_restrictions, dbm2watt, watt2dbm
+from gnpy.core.info import create_input_spectral_information, create_arbitrary_spectral_information
+from gnpy.core.network import build_network, set_amplifier_voa
+from gnpy.tools.json_io import load_network, load_equipment, network_from_json
 from pathlib import Path
 import pytest
 
@@ -73,7 +74,8 @@ def si(nch_and_spacing, bw):
     nb_channel, spacing = nch_and_spacing
     f_min = 191.3e12
     f_max = automatic_fmax(f_min, spacing, nb_channel)
-    return create_input_spectral_information(f_min, f_max, 0.15, bw, 1e-3, spacing)
+    return create_input_spectral_information(f_min=f_min, f_max=f_max, roll_off=0.15, baud_rate=bw,
+                                             spacing=spacing, tx_osnr=40.0, tx_power=1e-3)
 
 
 @pytest.mark.parametrize("gain, nf_expected", [(10, 15), (15, 10), (25, 5.8)])
@@ -84,7 +86,7 @@ def test_variable_gain_nf(gain, nf_expected, setup_edfa_variable_gain, si):
     si.nli /= db2lin(gain)
     si.ase /= db2lin(gain)
     edfa.operational.gain_target = gain
-    si.pref = si.pref._replace(p_span0=0, p_spani=-gain, neq_ch=lin2db(si.number_of_channels))
+    edfa.effective_gain = gain
     edfa.interpol_params(si)
     result = edfa.nf
     assert pytest.approx(nf_expected, abs=0.01) == result[0]
@@ -98,7 +100,7 @@ def test_fixed_gain_nf(gain, nf_expected, setup_edfa_fixed_gain, si):
     si.nli /= db2lin(gain)
     si.ase /= db2lin(gain)
     edfa.operational.gain_target = gain
-    si.pref = si.pref._replace(p_span0=0, p_spani=-gain, neq_ch=lin2db(si.number_of_channels))
+    edfa.effective_gain = gain
     edfa.interpol_params(si)
     assert pytest.approx(nf_expected, abs=0.01) == edfa.nf[0]
 
@@ -113,7 +115,7 @@ def test_si(si, nch_and_spacing):
 
 @pytest.mark.parametrize("gain", [17, 19, 21, 23])
 def test_compare_nf_models(gain, setup_edfa_variable_gain, si):
-    """ compare the 2 amplifier models (polynomial and estimated from nf_min and max)
+    """compare the 2 amplifier models (polynomial and estimated from nf_min and max)
      => nf_model vs nf_poly_fit for intermediate gain values:
      between gain_min and gain_flatmax some discrepancy is expected but target < 0.5dB
      => unitary test for Edfa._calc_nf (and Edfa.interpol_params)"""
@@ -122,8 +124,8 @@ def test_compare_nf_models(gain, setup_edfa_variable_gain, si):
     si.nli /= db2lin(gain)
     si.ase /= db2lin(gain)
     edfa.operational.gain_target = gain
+    edfa.effective_gain = gain
     # edfa is variable gain type
-    si.pref = si.pref._replace(p_span0=0, p_spani=-gain, neq_ch=lin2db(si.number_of_channels))
     edfa.interpol_params(si)
     nf_model = edfa.nf[0]
 
@@ -178,7 +180,6 @@ def test_ase_noise(gain, si, setup_trx, bw):
     si = span(si)
     print(span)
 
-    si.pref = si.pref._replace(p_span0=0, p_spani=-gain, neq_ch=lin2db(si.number_of_channels))
     edfa.interpol_params(si)
     nf = edfa.nf
     print('nf', nf)
@@ -194,3 +195,173 @@ def test_ase_noise(gain, si, setup_trx, bw):
     si = trx(si)
     osnr = trx.osnr_ase_01nm[0]
     assert pytest.approx(osnr_expected, abs=0.01) == osnr
+
+
+@pytest.mark.parametrize('delta_p', [0, None, 2])
+@pytest.mark.parametrize('tilt_target', [0, -4])
+def test_amp_behaviour(tilt_target, delta_p):
+    """Check that amp correctly applies saturation, when there is tilt
+    """
+    json_data = {
+        "elements": [{
+            "uid": "Edfa1",
+            "type": "Edfa",
+            "type_variety": "test",
+            "operational": {
+                "delta_p": delta_p,
+                "gain_target": 20 + delta_p if delta_p else 20,
+                "tilt_target": tilt_target,
+                "out_voa": 0
+            }
+        }, {
+            "uid": "Span1",
+            "type": "Fiber",
+            "type_variety": "SSMF",
+            "params": {
+                "length": 100,
+                "loss_coef": 0.2,
+                "length_units": "km"
+            }
+        }],
+        "connections": []
+    }
+    equipment = load_equipment(eqpt_library)
+    network = network_from_json(json_data, equipment)
+    edfa = [n for n in network.nodes() if isinstance(n, Edfa)][0]
+    fiber = [n for n in network.nodes() if isinstance(n, Fiber)][0]
+    fiber.params.con_in = 0
+    fiber.params.con_out = 0
+    fiber.ref_pch_in_dbm = 0.0
+    si = create_input_spectral_information(f_min=191.3e12, f_max=196.05e12, roll_off=0.15, baud_rate=64e9,
+                                           spacing=75e9, tx_osnr=None, tx_power=1e-3)
+    si = fiber(si)
+    total_sig_powerin = sum(si.signal)
+    sig_in = lin2db(si.signal)
+    si = edfa(si)
+    sig_out = lin2db(si.signal)
+    total_sig_powerout = sum(si.signal)
+    gain = lin2db(total_sig_powerout / total_sig_powerin)
+    expected_total_power_out = total_sig_powerin * 100 * db2lin(delta_p) if delta_p else total_sig_powerin * 100
+    assert pytest.approx(total_sig_powerout, abs=1e-6) == min(expected_total_power_out, dbm2watt(21))
+    assert pytest.approx(edfa.effective_gain, 1e-5) == gain
+    assert watt2dbm(sum(si.signal + si.nli + si.ase)) <= 21.01
+    # If there is no tilt on the amp: the gain is identical for all carriers
+    if tilt_target == 0:
+        assert_allclose(sig_in + gain, sig_out, rtol=1e-13)
+    else:
+        if delta_p != 2:
+            expected_sig_out = [
+                -32.00529182, -31.93540907, -31.86554231, -31.79417979, -31.71903263,
+                -31.6424009, -31.56531159, -31.48775435, -31.41468382, -31.35973323,
+                -31.32286555, -31.28602346, -31.2472908, -31.20086569, -31.14671746,
+                -31.08702653, -31.01341963, -30.93430243, -30.87791656, -30.84413339,
+                -30.81605918, -30.78824936, -30.76071036, -30.73319161, -30.70494101,
+                -30.67368479, -30.63941012, -30.60178381, -30.55585766, -30.5066561,
+                -30.43426575, -30.33848379, -30.24471112, -30.18220815, -30.15076699,
+                -30.11934744, -30.08776718, -30.05548097, -30.02250068, -29.98954302,
+                -29.95661362, -29.92370274, -29.8854762, -29.84193785, -29.79238328,
+                -29.72452662, -29.6385071, -29.54788144, -29.44581202, -29.33924103,
+                -29.23276107, -29.10289365, -28.91425473, -28.70204648, -28.50670713,
+                -28.3282514, -28.15895225, -28.009065, -27.87864672, -27.76315964,
+                -27.68523133, -27.62260405, -27.58076622]
+
+        else:
+            expected_sig_out = [
+                -30.00529182, -29.93540907, -29.86554231, -29.79417979, -29.71903263,
+                -29.6424009, -29.56531159, -29.48775435, -29.41468382, -29.35973323,
+                -29.32286555, -29.28602346, -29.2472908, -29.20086569, -29.14671746,
+                -29.08702653, -29.01341963, -28.93430243, -28.87791656, -28.84413339,
+                -28.81605918, -28.78824936, -28.76071036, -28.73319161, -28.70494101,
+                -28.67368479, -28.63941012, -28.60178381, -28.55585766, -28.5066561,
+                -28.43426575, -28.33848379, -28.24471112, -28.18220815, -28.15076699,
+                -28.11934744, -28.08776718, -28.05548097, -28.02250068, -27.98954302,
+                -27.95661362, -27.92370274, -27.8854762, -27.84193785, -27.79238328,
+                -27.72452662, -27.6385071, -27.54788144, -27.44581202, -27.33924103,
+                -27.23276107, -27.10289365, -26.91425473, -26.70204648, -26.50670713,
+                -26.3282514, -26.15895225, -26.009065, -25.87864672, -25.76315964,
+                -25.68523133, -25.62260405, -25.58076622]
+
+        print(sig_out)
+        assert_allclose(sig_out, expected_sig_out, rtol=1e-9)
+
+
+@pytest.mark.parametrize('delta_p', [0, None, 20])
+@pytest.mark.parametrize('base_power', [0, 20])
+@pytest.mark.parametrize('delta_pdb_per_channel',
+                         [[0, 1, 3, 0.5, -2],
+                          [0, 0, 0, 0, 0],
+                          [-2, -2, -2, -2, -2],
+                          [0, 2, -2, -5, 4],
+                          [0, 1, 3, 0.5, -2], ])
+def test_amp_saturation(delta_pdb_per_channel, base_power, delta_p):
+    """Check that amp correctly applies saturation
+    """
+    json_data = {
+        "elements": [{
+            "uid": "Edfa1",
+            "type": "Edfa",
+            "type_variety": "test",
+            "operational": {
+                "delta_p": delta_p,
+                "gain_target": 20,
+                "tilt_target": 0,
+                "out_voa": 0
+            }
+        }],
+        "connections": []
+    }
+    equipment = load_equipment(eqpt_library)
+    network = network_from_json(json_data, equipment)
+    edfa = [n for n in network.nodes()][0]
+    frequency = 193e12 + array([0, 50e9, 150e9, 225e9, 275e9])
+    slot_width = array([37.5e9, 50e9, 75e9, 50e9, 37.5e9])
+    baud_rate = array([32e9, 42e9, 64e9, 42e9, 32e9])
+    signal = dbm2watt(array([-20.0, -18.0, -22.0, -25.0, -16.0]) + array(delta_pdb_per_channel) + base_power)
+    si = create_arbitrary_spectral_information(frequency=frequency, slot_width=slot_width,
+                                               signal=signal, baud_rate=baud_rate, roll_off=0.15,
+                                               delta_pdb_per_channel=delta_pdb_per_channel,
+                                               tx_osnr=None, tx_power=None)
+    total_sig_powerin = sum(si.signal)
+    sig_in = lin2db(si.signal)
+    si = edfa(si)
+    sig_out = lin2db(si.signal)
+    total_sig_powerout = sum(si.signal)
+    gain = lin2db(total_sig_powerout / total_sig_powerin)
+    assert watt2dbm(sum(si.signal + si.nli + si.ase)) <= 21.02
+    assert pytest.approx(edfa.effective_gain, 1e-13) == gain
+    assert_allclose(sig_in + gain, sig_out, rtol=1e-13)
+
+
+def test_set_out_voa():
+    """Check that out_voa is correctly set if out_voa_auto is true
+    gain is maximized to obtain better NF:
+    if optimum input power in next span is -3 + pref_ch_db then total power at optimum is 19 -3 = 16dBm.
+    since amp has 21 dBm p_max, power out of amp can be set to 21dBm increasing out_voa by 5 to keep
+    same input power in the fiber. Since the optimisation contains a hard coded margin of 1 to account for
+    possible degradation on max power, the expected voa value is 4, and delta_p and gain are corrected
+    accordingly.
+    """
+    json_data = {
+        "elements": [{
+            "uid": "Edfa1",
+            "type": "Edfa",
+            "type_variety": "test",
+            "operational": {
+                "delta_p": -3,
+                "gain_target": 20,
+                "tilt_target": 0
+            }
+        }],
+        "connections": []
+    }
+    equipment = load_equipment(eqpt_library)
+    network = network_from_json(json_data, equipment)
+    amp = [n for n in network.nodes()][0]
+    print(amp.out_voa)
+    power_target = 19 + amp.delta_p
+    power_mode = True
+    amp.params.out_voa_auto = True
+    set_amplifier_voa(amp, power_target, power_mode)
+    assert amp.out_voa == 4.0
+    assert amp.effective_gain == 20.0 + 4.0
+    assert amp.delta_p == -3.0 + 4.0

tests/test_automaticmodefeature.py

@@ -14,12 +14,17 @@ checks that empty info on mode, power, nbchannel in service file are supported
 """
 
 from pathlib import Path
+from logging import INFO
+from numpy.testing import assert_allclose
 import pytest
+
 from gnpy.core.network import build_network
-from gnpy.core.utils import automatic_nch, lin2db
+from gnpy.core.utils import automatic_nch, lin2db, watt2dbm
 from gnpy.core.elements import Roadm
 from gnpy.topology.request import compute_path_dsjctn, propagate, propagate_and_optimize_mode, correct_json_route_list
-from gnpy.tools.json_io import load_network, load_equipment, requests_from_json, load_requests
+from gnpy.tools.json_io import load_network, load_equipment, requests_from_json, load_requests, load_json, \
+    _equipment_from_json
+
 
 network_file_name = Path(__file__).parent.parent / 'tests/data/testTopology_expected.json'
 service_file_name = Path(__file__).parent.parent / 'tests/data/testTopology_testservices.json'
@@ -30,7 +35,9 @@ eqpt_library_name = Path(__file__).parent.parent / 'tests/data/eqpt_config.json'
 @pytest.mark.parametrize("net", [network_file_name])
 @pytest.mark.parametrize("eqpt", [eqpt_library_name])
 @pytest.mark.parametrize("serv", [service_file_name])
-@pytest.mark.parametrize("expected_mode", [['16QAM', 'PS_SP64_1', 'PS_SP64_1', 'PS_SP64_1', 'mode 2 - fake', 'mode 2', 'PS_SP64_1', 'mode 3', 'PS_SP64_1', 'PS_SP64_1', '16QAM', 'mode 1', 'PS_SP64_1', 'PS_SP64_1', 'mode 1', 'mode 2', 'mode 1', 'mode 2', 'nok']])
+@pytest.mark.parametrize("expected_mode", [['16QAM', 'PS_SP64_1', 'PS_SP64_1', 'PS_SP64_1', 'mode 2 - fake', 'mode 2',
+                                            'PS_SP64_1', 'mode 3', 'PS_SP64_1', 'PS_SP64_1', '16QAM', 'mode 1',
+                                            'PS_SP64_1', 'PS_SP64_1', 'mode 1', 'mode 2', 'mode 1', 'mode 2', 'nok']])
 def test_automaticmodefeature(net, eqpt, serv, expected_mode):
     equipment = load_equipment(eqpt)
     network = load_network(net, equipment)
@@ -83,3 +90,89 @@ def test_automaticmodefeature(net, eqpt, serv, expected_mode):
                 path_res_list.append('nok')
     print(path_res_list)
     assert path_res_list == expected_mode
+
+
+def test_propagate_and_optimize_mode(caplog):
+    """Checks that the automatic mode returns the last explored mode
+
+    Mode are explored with descending baud_rate order and descending bitrate, so the last explored mode must be mode 1
+    Mode 1 GSNR is OK but pdl penalty are not OK due to high ROADM PDL. so the last explored mode is not OK
+    Then the propagate_and_optimize_mode must return mode 1 and the blocking reason must be 'NO_FEASIBLE_MODE'
+    """
+    caplog.set_level(INFO)
+    json_data = load_json(eqpt_library_name)
+    voyager = next(e for e in json_data['Transceiver'] if e['type_variety'] == 'Voyager')
+    # expected path min GSNR is 22.11
+    # Change Voyager modes so that:
+    # - highest baud rate has min OSNR > path GSNR
+    # - lower baudrate with highest bitrate has min OSNR > path GSNR
+    # - lower baudrate with lower bitrate has has min OSNR < path GSNR but PDL penalty is infinite
+    voyager['mode'] = [
+        {
+            "format": "mode 1",
+            "baud_rate": 32e9,
+            "OSNR": 12,
+            "bit_rate": 100e9,
+            "roll_off": 0.15,
+            "tx_osnr": 45,
+            "min_spacing": 50e9,
+            "penalties": [
+                {
+                    "chromatic_dispersion": 4e3,
+                    "penalty_value": 0
+                }, {
+                    "chromatic_dispersion": 40e3,
+                    "penalty_value": 0
+                }, {
+                    "pdl": 0.5,
+                    "penalty_value": 1
+                }, {
+                    "pmd": 30,
+                    "penalty_value": 0
+                }],
+            "cost": 1
+        },
+        {
+            "format": "mode 3",
+            "baud_rate": 32e9,
+            "OSNR": 30,
+            "bit_rate": 300e9,
+            "roll_off": 0.15,
+            "tx_osnr": 45,
+            "min_spacing": 50e9,
+            "cost": 1
+        },
+        {
+            "format": "mode 2",
+            "baud_rate": 66e9,
+            "OSNR": 25,
+            "bit_rate": 400e9,
+            "roll_off": 0.15,
+            "tx_osnr": 45,
+            "min_spacing": 75e9,
+            "cost": 1
+        }]
+    # change default ROADM PDL so that crossing 2 ROADMs leasd to inifinte penalty for mode 1
+    eqpt_roadm = next(r for r in json_data['Roadm'] if 'type_variety' not in r)
+    eqpt_roadm['pdl'] = 0.5
+    equipment = _equipment_from_json(json_data, eqpt_library_name)
+    network = load_network(network_file_name, equipment)
+    data = load_requests(filename=Path(__file__).parent.parent / 'tests/data/testTopology_services_expected.json',
+                         eqpt=eqpt_library_name, bidir=False, network=network, network_filename=network_file_name)
+    # remove the mode from request, change it to larger spacing
+    data['path-request'][1]['path-constraints']['te-bandwidth']['trx_mode'] = None
+    data['path-request'][1]['path-constraints']['te-bandwidth']['spacing'] = 75e9
+    assert_allclose(watt2dbm(data['path-request'][1]['path-constraints']['te-bandwidth']['output-power']), 1, rtol=1e-9)
+    # use the request power for design, or there will be inconsistencies with the gain
+    build_network(network, equipment, 1, 21)
+
+    rqs = requests_from_json(data, equipment)
+    rqs = correct_json_route_list(network, rqs)
+    [path] = compute_path_dsjctn(network, equipment, [rqs[1]], [])
+    total_path, mode = propagate_and_optimize_mode(path, rqs[1], equipment)
+    assert round(min(path[-1].snr_01nm), 2) == 22.22
+    assert mode['format'] == 'mode 1'
+    assert rqs[1].blocking_reason == 'NO_FEASIBLE_MODE'
+    expected_mesg = '\tWarning! Request 1: no mode satisfies path SNR requirement.'
+    # Last log records mustcontain the message about the las explored mode
+    assert expected_mesg in caplog.records[-1].message