22 Commits

Author SHA1 Message Date
Jan Kundrát
d201ec26bf OFC 2021 demo: config generators and their output
The original topology (`original-gnpy.json`) comes from the past demos
we've done. What's new is all that YANG work.

Change-Id: I9940a6a620ae9c6f0948d5c5ff7d788f66277571
2021-06-06 12:37:01 +02:00
Jan Kundrát
183639ba07 REST: change the layout
Include GNPy-level optical parameters, especially those which are
required for launch fiber into each fiber segment. That's what ONOS uses
when it configures the ROADMs. Add some extra bits ("GNPy element
type"); these were requested by Andrea during a call a long time ago,
and these were part of the previous demos.

Don't create separate entries for each parameter, just put them
together.

FIXME: the expected data needs regeneration, but my naive attempt
failed.

Change-Id: I39d9c6bdd869ff69e4ff5c3e8c2286b837526ea7
Co-authored-by: EstherLerouzic <esther.lerouzic@orange.com>
2021-06-06 12:36:23 +02:00
Jan Kundrát
20c6d5cf95 API: a REST server for GNPy
All data are provisioned via YANG.

Change-Id: I3efeccd6c8b13f8f76146779e18f6bc18c2807b0
2021-06-06 12:22:51 +02:00
Jan Kundrát
2b38e677b2 YANG: topology info for ONOS
These bits are irrelevant for GNPy, but required on the ONOS side. I'm
not particularly happy with the format of the links, or the fact that we
need them to be done manually. I really wanted to generate them from the
underlying GNPy topology, however, that's hard because ONOS needs port
information (so that it knows how to configure these ROADMs).

FIXME: It might be possible if everything is in the same network
instance. In that case, this model would just augment each link with
port IDs.  However, I'm not really happy with having "unrecognized"
elements in the GNPy-specific topology. Or perhaps that's actually OK?

Change-Id: I31be96c04f069ab797b9da82993633dc804180e2
2021-06-06 12:22:51 +02:00
Jan Kundrát
dab521a99e YANG: tests: re-reading the equipment and topology from JSON
Currently this is semi-broken. Some are genuine bugs, but others are due
to floating point math I'm afraid.

Change-Id: Ie29cca11ad9dc47db36c1fc79a5c6f85134a67c3
2021-06-06 12:22:51 +02:00
Jan Kundrát
6cc55b83e5 YANG: examples should produce exact-same results
Change-Id: I960a2d852603c7543201c4815ce6e788b41c682a
2021-06-06 12:22:51 +02:00
Jan Kundrát
ddbb9b5af7 YANG: Test conversion of equipment + settings + topology into YANG
Change-Id: I9cd5915417d3a667cfec63b0cf2220df9973ee6e
2021-06-06 12:22:51 +02:00
Jan Kundrát
dd3d2e1152 YANG: loading and storing topologies
GNPy's in-memory representation is closely modeled on the legacy JSON
files. Everything is a node, and the edges hold no data. In our YANG
models this is different, and all Fiber instances are stored as links.

Originally I wanted to be smart with Fused nodes and automatically
remove them "when they are not needed".  In legacy JSON, the `Fused`
thingy was sometimes placed as a magic clue to signify that no EDFA can
be put on that particular place. This is not needed in YANG, so I wanted
to remove these extra Fused nodes, but boy, was it a deep hole to dig
myself in.

FIXME: EDFAs are still placed even though the docs say otherwise!

Change-Id: I27bd9414e8237d94b980a200ce9f9792602b5430
2021-06-06 12:22:51 +02:00
Jan Kundrát
936b17c151 YANG: Network Topology
The topology model (`tip-photonic-topology`) uses `leafref`s for
"instantiating" actual nodes from models defined in the equipment
library. The topology is unidirectional.

At first, I used an ad-hoc, custom topology for simplicity. This was
changed in response to Jonas' comment; there's clearly no need to
reinvent this particular wheel. Now the model builds on top of RFC8345.

Both [`ietf-network-topology`](https://tools.ietf.org/html/rfc8345#section-4.2)
and the associated `ietf-network` are needed.  The augmentations make it
a bit harder to see the YANG rendering of the resulting modules, but
that's just how the IETF model was designed.  There's nothing to fix on
our side.

The `must` statements which ensure that a topology is well-connected
leaves much to be desired. I guess I just don't buy the reasoning about
`require-instance: false` given in the RFC. If you need to break
topology, use a datastore which is defined to have broken referential
integrity, e.g., `operational`. Oh well.

Unlike the previous JSON files, this puts the fiber data into `nt:link`.

This occurred to me when in Angers at the face-to-face meeting. I talked
with Esther about the way the
draft-ietf-ccamp-optical-impairment-topology-yang is structured.
Basically, they decided to stick the whole Optical Multiplex Section
(OMS) into a `te:link` instead of using topologies and layer adaptations
-- something which felt strange to me, given my software engineering
background and (especially) my lack of hands-on experience with building
and running of optical networks (it looks like CESNET's focus is quite
unusual after all). One of the reasons for not using a `nw:node` and
using an `nt:link` instead is that "there's no NETCONF end point to use
to talk to a fiber".

The situation is similar here; there's little point in using a
full-blown node when modeling something which just boils down to a link.
This doesn't mean that the GNPy code shall change -- it's just about
changing the representation in user-facing data, such as network
topologies.

This cuts quite a lot of boilerplate, so it's a good change, IMHO. On
the other hand, I wasn't really able to "optimize out" the extra `Fused`
nodes just yet.

Change-Id: I2208fa81e63df6e13cb502bd2c4b0cfbfdb0ed3b
2021-06-06 12:22:51 +02:00
Jan Kundrát
5f38db2d2f YANG: Reading and saving equipment catalog and simulation options from YANG files
To make sure that I get everything right, I built this code for
initializing the equipment library around the already existing JSON IO
loader. That is far from optimal because there is no type safety
whatsoever in these classes, and object properties are created in a
super ad-hoc manner at runtime. That is rather painful to work with
because there is no place anywhere in the code which would list all
properties that are *supposed* to be present.

Change-Id: Ibbfd97a5a949cf107fd98484b19b24bf9f4ca3e9
2021-06-06 12:22:51 +02:00
Jan Kundrát
7172ceab20 YANG: Global simulation parameters
It occurred to me that it's better to separate out "static data from
datasheets" (`tip-photonic-equipment`) and "how does my network look
like" (`tip-photonic-topology`) from the "simulation control and
settings".

Previously, some of these parameters (which are, essentially, policy
decisions) were kept in the equipment config (`SI` and `Span`, or the
transponder costs, or the EDFAs that were allowed for automatic
placement), and others were provisioned out-of-band via
`sim_params.json`. Let's put them all into a single model.

Change-Id: I159a0b5f331711d7bc88786ee3f1c1cb8c35454c
2021-06-06 12:22:51 +02:00
Jan Kundrát
7874ad61af YANG: Equipment Library
The first step in adding YANG description for GNPy's input is the
equipment library (`tip-photonic-equipment`). It contains data about all
defined EDFA and Fiber types. This is supposed to be functionally
equivalent to the `eqpt_config.json`, but the actual JSON structure is
different.

The core idea of this model is to describe capabilities of the
simulation engine as it exists, which means that the individual
choice/case statements mirror our different "simulation input
parameters". The user is not expected to do any augmentations of the
YANG model -- just describe the amplifiers, fiber, etc, with data. This
means that the user just *uses* the YANG model, which is unlike another
proposal that was floated around back in 2019 which used YANG-level
augmentations for the equipment library.

The pre-YANG code actually split stuff from `eqpt_config.json` into
additional JSON files for "fancy bits", such as the DGT LUT. That's
something that, IMHO, does not make sense when we're willing to ship
with machine-validation of the complete input set. So instead of
deferring to another JSON file for the NF-/gain-ripple/DGT, let's move
everything in-line into the input data. This has one obvious downside in
making the amplifier data a bit too verbose. There were several options:

- Ignore the human-friendliness and push everything into the amplifier
description. This is nice and self-contained, but the data are going to
be very, very long, and the majority of the WG was worried that it would
make human editing too difficult.

- Move everything to a side-loaded JSON file. This option separates out
some numerical parameters from the equipment library, and therefore
splits the configuration into two places. One of these places would be
exempt from the YANG validation, and loaded via unspecified means.
That's a no-go.

- Put stuff into a YANG model, but use one level of indirection between
the amplifier description and the numerical data.

This took us quite some time to decide, but ultimately on 2020-09-01 we
decided that the numbers that we have been shipping are *probably*
specific to a given EDFA model they were measured on. The actual *slope*
of the DGT looks very similar between, say, the Juniper/Lumentum
measurements and the data from Orange, but the multiplication factor is
different. So the outcome was that we will probably have to ship with
some sane default, *but* any measurements done by the user will apply
only to a specific amplifier model. The YANG model reflects that, and it
uses per-type lists. They are now indexed by frequency as agreed on the
2020-09-01 coders call.

In the real world, some "common fiber types" are well-defined by ITU,
such as the SSMF. Esther tried to model this via a set of identities and
YANG `identityref`s. I think that there's no disadvantage in shipping
these data as a default content of the YANG-formatted datastore,
similarly to how the equipment library used to be structured prior to
this patch. Once again, I'm following the pattern where the user can
change any *data* without augmenting the YANG model. The only reason for
editing/augmenting the (equipment) YANG model should be changes in our
simulation *engine*, such as when adding different input parameters for
NF calculations, or adding Raman amplification, etc.

The amplifier model has been reworked a bit. I've reduced the number of
available "simulation parameters" to a reasonable minimum as suggested
by Jean-Luc (cf. issue #227):

- a polynomial NF model
- a simplified model for operators with NF_min and NF_max
- a dual-stage amplifier comprising two individual sub-amplifiers that
  are each any of the above
- a faux-Raman
- three OpenROADM-specific models

In terms of correspondence to the previous code, the "polynomial NF" is
used for current `advanced_model` (which uses yet another external JSON
file) and the `fixed_gain` model. The simplified, min-max-NF is what
Jean-Luc called "operator model"; the wording is a compromise of various
suggestions done via GitHub. The OpenROADM models are, unfortunately,
magic, especially the preamp+booster simulation. But it reflects how
it's been implemented in GNPy.

The values which are stored in the YANG-formatted JSON files have
different units than what was stored in the legacy JSON files. We are
now using the "customary units", such as ps/km, instead of s/m. This is
largely a matter of taste, but the technical reason behind this is that
YANG only defines a decimal64 data type with a limited precision, and we
were running out of fraction-digits for certain parameters where the SI
representation is "too low" (the pmd-coefficient is one example).

Other "subtle" changes have been done as well, such as clarifying that
the amplifier's band boundaries refer to the edges of the passband and
not the central frequencies, etc.

Change-Id: I449d66e952834011b3ec476023c9cc353dfca5c0
2021-06-06 12:22:51 +02:00
Jan Kundrát
cddebd55a1 YANG: tests: validate our sample data against the YANG model
I'm using the yagnson library for this, and that library needs two
pieces of data as its inputs:

- a "YANG Module Library", which is usually a JSON description of all
available and activated YANG modules along its enabled features, etc,

- actual YANG models, typically specified as a list of filesystem paths
which hold them.

I generated that ietf-yanglib file via something like:

 $ python path/to/yangson/tools/python/mkylib.py \
     gnpy/yang/ext \
     gnpy/yang/tip \
     > gnpy/yang/yanglib.json`

When this adds support for `ietf-geo-location` in future, make sure to
edit the output so that it does not accidentally enable all of the
geolocation features (but that's for later, anyway). And we might
actually not end up doing that.

Change-Id: I51e342cd556ecc381ff0bf35df2bfa70f5f83ba8
2021-06-06 12:22:51 +02:00
Jan Kundrát
aa96694c19 YANG: import: IETF models for network topologies
These will be used by our own topology. I've obtained them from
YangModels/yang@5b7ffd4e.

Change-Id: I90c8e3566293f4e747865a9739a0e5ce0cafea42
2021-06-06 12:22:51 +02:00
Jan Kundrát
1ed81a6fd9 YANG: import: basic stuff from IETF to make yangson happy
So, unlike pyang, yangson appears to choke on fewer constructs. As a
disadvantage, it apparently doesn't ship with some basic YANG stuff
(which I'm adding in this commit).

It also requires an explicit action for registering all YANG modules
into a library, and that action is performed by a script which doesn't
get installed when installing via `pip install`. That's something that
I'll fix upstream.

But hey, it's pure Python code which can perform JSON validation
according to a YANG schema. That awards the tool enough bonus points
over both pyang (ahem ahem no validation ahem ahem) and libyang (native
code plus a dependency on libredblack/libavl native library, which might
together be a bit too much to ask our users for I'm afraid).

Change-Id: I36fd742cc23ac8fe58ea34c37b15fec9aca54785
2021-06-06 12:22:51 +02:00
Jan Kundrát
f611f3d899 YANG: Prepare for distributing YANG modules
I'm using a second-level module namespace (gnpy.yang) for the same
reasons as when shipping the example data via gnpy/example-data/ --
these will be used in the subsequent commits when we actually start
adding YANG models. There is also some code (not much now, a lot more in
future) for working with these models, and in future also for loading
actual data. These *could* be put into gnpy.tools.*, but I think it's
more straightforward to just keep them in the YANG namespace.

Change-Id: Ic40738ddd8346429bde01e591d19fd2ce8cb687d
2021-06-06 12:22:51 +02:00
Jan Kundrát
f919bbea41 tests: requests: rely on pytest's own dict support
When `pytest` is run with `-vv`, it shows a diff of multiline strings
and dict just fine. The only drawback is that there's the raw string
with newlines shown as "\n", however, *then* the nice diff pretty
printing kicks in, and the result is:

 E                 Common items:
 E                 {'response-id': '5'}
 E                 Differing items:
 E                 {'path-properties': {'path-metric': [{'accumulative-value': 21.68, 'metric-type': 'SNR-bandwidth'}, {'accumulative-val...EDFA', 'link-tp-id': 'east edfa in Rennes_STA to Stbrieuc', 'node-id': 'east edfa in Rennes_STA to Stbrieuc'}}}, ...]}} != {'path-properties': {'path-metric': [{'accumulative-value': 21.68, 'metric-type': 'SNR-bandwidth'}, {'accumulative-val...EDFA', 'link-tp-id': 'east edfa in Rennes_STA to Stbrieuc', 'node-id': 'east edfa in Rennes_STA to Stbrieuc'}}}, ...]}}
 E                 Full diff:
 E                   {
 E                    'path-properties': {'path-metric': [{'accumulative-value': 21.68,
 E                                                         'metric-type': 'SNR-bandwidth'},
 E                                                        {'accumulative-value': 28.77,
 E                                                         'metric-type': 'SNR-0.1nm'},
 E                                                        {'accumulative-value': 23.7,
 E                                                         'metric-type': 'OSNR-bandwidth'},
 E                                                        {'accumulative-value': 30.79,
 E                                                         'metric-type': 'OSNR-0.1nm'},
 E                                                        {'accumulative-value': 0.0019952623149688794,
 E                                                         'metric-type': 'reference_power'},
 E                                                        {'accumulative-value': 20000000000.0,
 E                                                         'metric-type': 'path_bandwidth'}],
 ...
 ... now, it's a bit annoying that there's too much output, but
 ... that's just for context; the offending lines will be properly
 ... marked, see --\
 ...               |
 ...               v
 ...
 E                                                               {'path-route-object': {'index': 17,
 E                 -                                                                    'num-unnum-hop': {'gnpy-node-type': 'transceiver',
 E                 ?                                                                                       ^ ^^^^^^^  - ^      ^^^^^^^^^ -
 E                 +                                                                    'num-unnum-hop': {'link-tp-id': 'trx '
 E                 ?                                                                                       ^^ ^   ^^^      ^^
 E                 -                                                                                      'link-tp-id': 'trx '
 E                                                                                                                      'Lannion_CAS',
 E                                                                                                        'node-id': 'trx '
 E                                                                                                                   'Lannion_CAS'}}},
 E                                                               {'path-route-object': {'index': 18,
 E                                                                                      'label-hop': {'M': 6,
 E                                                                                                    'N': -274}}},
 E                                                               {'path-route-object': {'index': 19,
 E                                                                                      'transponder': {'transponder-mode': 'mode '
 E                                                                                                                          '2',
 E                                                                                                      'transponder-type': 'vendorA_trx-type1'}}}]},
 E                    'response-id': '5',
 E                   }

 tests/test_parser.py:312: AssertionError

Change-Id: I60b4e3bfa432a720a381bf2c0a9f0288e989dab2
2021-06-06 11:53:42 +02:00
Jan Kundrát
4202d85260 Bump the minimal required Python to 3.8
We discussed this at one of the recent coder calls; the motivation
includes better mypy type hint support, especially in numpy, but also in
the language core, and of course the dataclasses.

Change-Id: I8ffee28c33f167cbcba978c85486e58a1b8c99be
2021-06-05 01:05:24 +02:00
Jan Kundrát
d5ca3fe6f6 tests: enable pytest's builtin multiline diffing
...because it works on strings while doesn't work on byte arrays.

Change-Id: I2bb3b5a0a3d6ad965321c58fb90a02341db66d0f
2021-06-05 01:05:24 +02:00
Jan Kundrát
e5efdc0138 Do not load equipment['SI']['default'].power_range_db in the gain mode
It is not used, so don't check it.

Change-Id: I309638ac8e647ed9f507016a116d9c8d0342c32d
2021-06-04 23:11:51 +02:00
Jan Kundrát
4fe77b2519 utils: document round2float
Change-Id: I344c4a03e7d3e0614e0fc3307b12af359c61b882
2021-06-04 23:11:23 +02:00
Jan Kundrát
1c971dbaeb OpenROADM: add "some" TX roll-off for all modes
...because it is not optional in the YANG model.

Change-Id: I38025b504a34083c12dc67f86c285761b2b242c4
2021-06-04 23:10:58 +02:00
46 changed files with 16562 additions and 86 deletions

View File

@@ -3,8 +3,6 @@ os: linux
language: python
services: docker
python:
- "3.6"
- "3.7"
- "3.8"
- "3.9"
before_install:

View File

@@ -13,7 +13,6 @@
coverage_job_name_current: tox-py38-cover
- tox-linters-diff-n-report:
voting: false
- tox-py36-el8
- tox-docs-f32
- tox-py38-cover-previous
gate:

View File

@@ -1,3 +1,5 @@
.. _excel:
Excel (XLS, XLSX) input files
=============================

6
docs/gnpy-api-yang.rst Normal file
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@@ -0,0 +1,6 @@
``gnpy.yang``
-------------
.. automodule:: gnpy.yang
.. automodule:: gnpy.yang.conversion
.. automodule:: gnpy.yang.io

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@@ -12,3 +12,4 @@ API Reference Documentation
gnpy-api-core
gnpy-api-topology
gnpy-api-tools
gnpy-api-yang

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@@ -13,6 +13,7 @@ in real-world mesh optical networks. It is based on the Gaussian Noise Model.
install
json
excel
yang
extending
about-project
model

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@@ -38,7 +38,7 @@ Using Python on your computer
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
**Note**: `gnpy` supports Python 3 only. Python 2 is not supported.
`gnpy` requires Python ≥3.6
`gnpy` requires Python ≥3.8
**Note**: the `gnpy` maintainers strongly recommend the use of Anaconda for
managing dependencies.
@@ -84,7 +84,7 @@ exact version of Python you are using.
$ which python # check which Python executable is used
/path/to/anaconda/bin/python
$ python -V # check your Python version
Python 3.6.5 :: Anaconda, Inc.
Python 3.8.0 :: Anaconda, Inc.
.. _install-pip:

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@@ -1,3 +1,5 @@
.. _legacy-json:
JSON Input Files
================

598
docs/yang.md Normal file
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@@ -0,0 +1,598 @@
(yang)=
# YANG-formatted data
(yang-equipment)=
## Equipment Library
The [equipment library](concepts-equipment) is defined via the `tip-photonic-equipment` YANG model.
The database describes all [amplifier models](yang-equipment-amplifier), all [types of fiber](yang-equipment-fiber), all possible [ROADM models](yang-equipment-roadm), etc.
(yang-equipment-amplifier)=
### Amplifiers
Amplifiers introduce noise to the signal during amplification, and care must be taken to describe their performance correctly.
There are some common input parameters:
`type`
: A free-form name which must be unique within the whole equipment library.
It will be used in the network topology to specify which amplifier model is deployed at the given place in the network.
`frequency-min` and `frequency-max`
: Operating range of the amplifier.
`gain-flatmax`
: The optimal operating point of the amplifier.
This is the place where the gain tilt and the NF of the amplifier are at its best.
`gain-min`
: Minimal possible gain that can be set for the EDFA.
Any lower gain requires adding a physical attenuator.
`max-power-out`
: Total power cap at the output of the amplifier, measured across the whole spectrum.
`has-output-voa`
: Specifies if there's a Variable Optical Attenuator (VOA) at the EDFA's output port.
One of the key parameters of an amplifier is the method to use for [computing the Noise Figure (NF)](concepts-nf-model).
Here's how they are represented in YANG data:
(yang-equipment-amplifier-polynomial-NF)=
#### `polynomial-NF`
The [Polynomial NF model](ext-nf-model-polynomial-NF) requires four coefficients for the polynomial function: `a`, `b`, `c` and `d`.
```json
{
"type": "Juniper-BoosterHG",
"gain-min": "10",
"gain-flatmax": "25",
"max-power-out": "21",
"frequency-min": "191.35",
"frequency-max": "196.1",
"polynomial-NF": {
"a": "0.0008",
"b": "0.0272",
"c": "-0.2249",
"d": "6.4902"
}
}
```
(yang-equipment-amplifier-min-max-NF)=
#### `min-max-NF`
This is an operator-focused model.
Performance is defined by the [minimal and maximal NF](nf-model-min-max-NF).
`nf-min`
: Minimal Noise Figure.
This is achieved when the EDFA operates at its maximal flat gain (see the `gain-flatmax` parameter).
`nf-max`
: Maximal Noise Figure.
This worst-case scenario applies when the EDFA operates at its minimal gain (see the `gain-min` parameter).
(yang-equipment-amplifier-openroadm)=
#### OpenROADM
NF models for preamps, boosters and inline amplifiers as defined via the OpenROADM group.
(yang-equipment-amplifier-polynomial-OSNR-OpenROADM)=
##### `OpenROADM-ILA`
This model is useful for [amplifiers compliant to the OpenROADM specification for ILA](ext-nf-model-polynomial-OSNR-OpenROADM).
The input parameters to this model are once again four coefficients `a`. `b`, `c` and `d`:
```json
{
"type": "low-noise",
"gain-min": "12",
"gain-flatmax": "27",
"max-power-out": "22",
"frequency-min": "191.35",
"frequency-max": "196.1",
"OpenROADM-ILA": {
"a": "-8.104e-4",
"b": "-6.221e-2",
"c": "-5.889e-1",
"d": "37.62",
}
}
```
(yang-equipment-amplifier-OpenROADM-preamp-booster)=
##### `OpenROADM-preamp` and `OpenROADM-booster`
No extra parameters are defined for these NF models.
See the [model documentation](ext-nf-model-noise-mask-OpenROADM) for details.
(yang-equipment-amplifier-composite)=
#### `composite`
A [composite](ext-nf-model-dual-stage-amplifier) amplifier combines two distinct amplifiers.
The first amplifier will be always operated at its maximal gain (and therefore its best NF).
`preamp`
: Reference to the first amplifier model
`booster`
: Reference to the second amplifier model
(yang-equipment-amplifier-raman-approximation)=
#### `raman-approximation`
A fixed-NF amplifier, especially suitable for emulating Raman amplifiers
in scenarios where the Raman-aware engine cannot be used.
`nf`
: Noise Figure of the amplifier.
(yang-equipment-amplifier-fine-tuning)=
#### Advanced EDFA parameters
In addition to all parameters specified above, it is also possible to describe the EDFA\'s performance in higher detail.
All of the following parameters are given as measurement points at arbitrary frequencies.
The more data points provided, the more accurate is the simulation.
The underlying model uses piecewise linear approximation to estimate values which are laying in between the provided values.
`dynamic-gain-tilt`
: FIXME: document this
`gain-ripple`
: Difference of the amplifier gain for a specified frequency, as compared to the typical gain over the whole spectrum
`nf-ripple`
: Difference in the resulting Noise Figure (NF) as a function of a carrier frequency
```json
{
"type": "vg-15-26",
"gain-min": "15",
"gain-flatmax": "26",
"dynamic-gain-tilt": [
{
"frequency": "191.35",
"dynamic-gain-tilt": "0"
},
{
"frequency": "196.1",
"dynamic-gain-tilt": "2.4"
}
],
"max-power-out": "23",
"min-max-NF": {
"nf-min": "6.0",
"nf-max": "10.0"
}
}
```
These values are optional. If not provided, gain and NF is assumed to not vary with carrier frequency.
(yang-equipment-fiber)=
### Fiber
An optical fiber attenuates the signal and acts as a medium for non-linear interference (NLI) for all signals in the propagated spectrum.
When using the Raman-aware simulation engine, the Raman effect is also considered.
`type`
: A free-form name which must be unique within the whole equipment library, such as `G.652`.
`chromatic-dispersion`
: Chromatic dispersion, in $\frac{ps}{nm\times km}$.
`chromatic-dispersion-slope`
: Dispersion slope is related to the $\beta _3$ coefficient.
In $\frac{ps}{nm^{2}\times km}$.
`gamma`
: Fiber\'s $\gamma$ coefficient.
In $\frac{1}{W\times km}$.
`pmd-coefficient`
: Coefficient for the Polarization Mode Dispersion (PMD).
In $\frac{ps}{\sqrt{km}}$.
`raman-efficiency`
: Normalized efficiency of the Raman amplification per operating frequency.
This is a required parameter if using Rama-aware simulation engine.
The data type is a YANG list keyed by `delta-frequency` (in $\text{THz}$).
For each `delta-frequency`, provide the `cr` parameter which is a dimensionless number indicating how effective the Raman transfer of energy is at that particular frequency offset from the pumping signal.
```javascript
{
"type": "SSMF",
"dispersion": "16.7",
"gamma": "1.27",
"pmd-coefficient": "0.0400028124",
"raman-efficiency": [
{
"delta-frequency": "0",
"cr": "0"
},
{
"delta-frequency": "0.5",
"cr": "9.4e-06"
},
// more frequencies go here
{
"delta-frequency": "42.0",
"cr": "1e-07"
}
]
}
```
(yang-equipment-roadm)=
### ROADMs
Compared to EDFAs and fibers, ROADM descriptions are simpler.
In GNPy, ROADM mainly acts as a smart, spectrum-specific attenuator which equalizes carrier power to a specified power level.
The PMD contribution is also taken into account, and the Add and Drop stages affect signal\'s OSNR as well.
`type`
: Unique model identification, used when cross-referencing from the network topology.
`add-drop-osnr`
: OSNR penalty introduced by the Add stage or the Drop stage of this ROADM type.
`target-channel-out-power`
: 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.
`pmd`
: Polarization mode dispersion (PMD) penalty of the express path within this ROADM model.
In $\text{s}$.
`compatible-preamp` and `compatible-booster`
: List of all allowed booster/preamplifier types.
Useful for specifying constraints on what amplifier modules fit into ROADM chassis, and when using fully disaggregated ROADM topologies as well.
(yang-equipment-transponder)=
### Transponders
Transponders (or transceivers) are sources and detectors of optical signals.
There are a few parameters which apply to a transponder model:
`type`
: Unique name, for corss-referencing from the topology data.
`frequency-min` and `frequency-max`
: Minimal and maximal operating frequencies of the receiver and transmitter.
A lot of transponders can operate in a variety of modes, which are described via the `transceiver/mode` list:
`name`
: Identification of the transmission mode.
Free form, has to be unique within one transponder type.
`bit-rate`
: Data bit rate, in $\text{Gbits}\times s^{-1}$.
`baud-rate`
: Symbol modulation rate, in $\text{Gbaud}$.
`required-osnr`
: Minimal allowed OSNR for the receiver.
`in-band-tx-osnr`
: Worst-case guaranteed initial OSNR at the Tx port per 0.1nm of bandwidth
Only the in-band OSNR is considered.
`grid-spacing`
: Minimal grid spacing, i.e., an effective channel spectral bandwidth.
In $\text{Hz}$.
`tx-roll-off`
: Roll-off parameter ($\beta$) of the TX pulse shaping filter.
This assumes a raised-cosine filter.
(yang-simulation)=
## Simulation Parameters
The `tip-photonic-simulation` model holds options which control how a simulation behaves.
These include information such as the spectral allocation to work on, the initial launch power, or the desired precision of the Raman engine.
### Propagated spectrum
Channel allocation is controlled via `/tip-photonic-simulation:simulation/grid`.
This input structure does not support flexgrid (yet), and it assumes homogeneous channel allocation in a worst-case scenario (all channels allocated):
`frequency-min` and `frequency-max`
: Define the range of central channel frequencies.
`spacing`
: How far apart from each other to place channels.
`baud-rate`
: Modulation speed.
`power`
: Launch power, per-channel.
`tx-osnr`
: The initial OSNR of a signal at the transponder's TX port.
`tx-roll-off`
: Roll-off parameter (β) of the TX pulse shaping filter.
This assumes a raised-cosine filter.
### Autodesign
Autodesign is controlled via `/tip-photonic-simulation:autodesign`.
`power-adjustment-for-span-loss`
: This adjusts the launch power of each span depending on the span's loss.
When in effect, launch powers to spans are adjusted based on the total span loss.
The span loss is compared to a reference span of 20 dB, and the launch power is adjusted by about 0.3 * `loss_difference`, up to a provided maximal adjustment.
This adjustment is performed for all spans when running in the `power-mode` (see below).
When in `gain-mode`, it affects only EDFAs which do not have an explicitly assigned `delta-p`.
FIXME: there are more.
#### Power mode
FIXME: This is currently mostly undocumented.
Sorry.
In power mode, GNPy can try out several initial launch powers.
This is controlled via the `/tip-photonic-simulation:autodesign/power-mode/power-sweep`:
`start`
: Initial delta from the reference power when determining the best initial launch power.
`stop`
: Final delta from the reference power when determining the best initial launch power
`step-size`
: Step size when determining the best initial launch power
#### Gain mode
FIXME: This is currently mostly undocumented.
Sorry.
In the gain mode, EDFA gain is based on the previous span loss.
For all EDFAs whose gain has not been set manually, set the gain based on the following rules:
1) Set gain to the preceding span loss.
2) Offset the gains around the reference power (FIXME: what does it mean?
This will leave the gain of EDFAs which have their gains set manually in the network topology unchanged.
### Miscellaneous parameters
`/tip-photonic-simulation:system-margin`
: How many $\text{dB}$ of headroom to require.
This parameter is useful to account for component aging, fiber repairs, etc.
(yang-topology)=
## Network Topology
The *topology* acts as a "digital self" of the simulated network.
The topology builds upon the `ietf-network-topology` from [RFC8345](https://tools.ietf.org/html/rfc8345#section-4.2) and is implemented in the `tip-photonic-topology` YANG model.
In this network, the *nodes* correspond to [amplifiers](yang-topology-amplifier), [ROADMs](yang-topology-roadm), [transceivers](yang-topology-transceiver) and [attenuators](yang-topology-attenuator).
The *links* model [optical fiber](yang-topology-fiber) or [patchcords](yang-topology-patch)).
Additional elements are also available for modeling networks which have not been fully specified yet.
Where not every amplifier has been placed already, some links can be represented by a [tentative-link](yang-topology-tentative-link), and some amplifier nodes by [placeholders](yang-topology-amplifier-placeholder).
(yang-topology-common-node-props)=
### Common Node Properties
All *nodes* share a common set of properties for describing their physical location.
These are useful mainly for visualizing the network topology.
```javascript
{
"node-id": "123",
// ...more data go here...
"tip-photonic-topology:geo-location": {
"x": "0.5",
"y": "0.0"
}
}
```
Below is a reference as to how the individual elements are used.
(yang-topology-amplifier)=
### Amplifiers
A physical, unidirectional amplifier.
The amplifier *model* is specified via `tip-photonic-topology:amplifier/model` leafref.
#### Operational data
If not set, GNPy determines the optimal operating point of the amplifier for the specified simulation input parameters so that the total GSNR remains at its highest possible value.
`out-voa-target`
: Attenuation of the output VOA
`gain-target`
: Amplifier gain
`tilt-target`
: Amplifier tilt
#### Example
```json
{
"node-id": "edfa-A",
"tip-photonic-topology:amplifier": {
"model": "fixed-22",
"out-voa-target": "0.0",
"gain-target": "19.0",
"tilt-target": "10.0"
}
}
```
(yang-topology-transceiver)=
### Transceivers
Transceivers can be used as source and destination points of a path when requesting connectivity feasibility checks.
`model`
: Cross-reference to the equipment library, specifies the physical model of this transponder.
There are no transceiver-specific parameters.
Mode selection is done via global simulation parameters.
(yang-topology-roadm)=
### ROADMs
FIXME: topology
(yang-topology-attenuator)=
### Attenuators
This element (``attenuator``) is suitable for modeling a concentrated loss -- perhaps a real-world long-haul fiber with a splice that has a significant attenuation.
Only one attribute is defined:
`attenuation`
: Attenuation of the splice, in $\text{dB}$.
In the original data formed used by GNPy, the corresponding element, `Fused`, was often used as a cue which disabled automatic EDFA placement.
(yang-topology-amplifier-placeholder)=
### Amplifier Placeholders
In cases where the actual amplifier locations are already known, but a specific type of amplifier has not been decided yet, the `amplifier-placeholder` will be used.
This is typically put in place either as a preamp or booster at a ROADM site, or in between two `fiber` `nt::link` elements.
No properties are defined.
(yang-topology-fiber)=
### Fiber
An `nt:link` which contains a `fiber` represents a specific, tangible fiber which exists in the physical world.
It has a certain length, is made of a particular material, etc.
The following properties are defined:
`type`
: Class of the fiber.
Refers to the specified fiber material in the equipment library.
`length`
: Total length of the fiber, in :math:`\text{m}`.
`loss-per-km``
: Fiber attenuation per length.
In $\text{dB}/\text{km}$.
`attenuation-in``
: FIXME: can we remove this and go with a full-blown attenuator instead?
`conn-att-in` and `conn-att-out`
: Attenuation of the input and output connectors, respectively.
#### Raman properties
When using the Raman engine, additional properties are required:
`raman/temperature`
: This is the average temperature of the fiber, given in $\text{K}$.
### Raman amplification
Actual Raman amplification can be activated by adding several pump lasers below the `raman` container.
Use one list member per pump:
`raman/pump[]/frequency`
: Operating frequency of this pump.
In $\text{Hz}$.
`raman/pump[]/power`
: Pumping power, in $\text{dBm}$.
`raman/pump[]/direction`
: Direction in which the pumping power is being delivered into the fiber.
One of `co-propagating` (pumping in the same direction as the signal), or `counter-propagating` (pumping at the fiber end).
(yang-topology-patch)=
### Patch cords
An `nt:link` with a `patch` element inside corresponds to a short, direct link.
Typically, this is used for direct connections between equipment.
No non-linearities are considered.
(yang-topology-tentative-link)=
### Tentative links
An `nt:link` which contains a `tentative-link` is a placeholder for a link that will be constructed by GNPy.
Unlike either `patch` or `fiber`, this type of a link will never be used in a finalized, fully specified topology.
`type`
: Class of the fiber.
Refers to the specified fiber material in the equipment library.
`length`
: Total length of the fiber, in $\text{km}$.

View File

@@ -107,6 +107,35 @@ def db2lin(value):
def round2float(number, step):
"""Round a floating point number so that its "resolution" is not bigger than 'step'
The finest step is fixed at 0.01; smaller values are silently changed to 0.01.
>>> round2float(123.456, 1000)
0.0
>>> round2float(123.456, 100)
100.0
>>> round2float(123.456, 10)
120.0
>>> round2float(123.456, 1)
123.0
>>> round2float(123.456, 0.1)
123.5
>>> round2float(123.456, 0.01)
123.46
>>> round2float(123.456, 0.001)
123.46
>>> round2float(123.249, 0.5)
123.0
>>> round2float(123.250, 0.5)
123.0
>>> round2float(123.251, 0.5)
123.5
>>> round2float(123.300, 0.2)
123.2
>>> round2float(123.301, 0.2)
123.4
"""
step = round(step, 1)
if step >= 0.01:
number = round(number / step, 0)

View File

@@ -0,0 +1,87 @@
# The GNPy YANG demo at OFC 2021
The demo needs one piece of YANG-formatted data which includes all settings for GNPy as well as the ONOS topology.
This is generated via:
```console-session
$ python gnpy/example-data/2021-demo/generate-demo.py
```
...which puts files into `gnpy/example-data/2021-demo/`.
```console-session
$ FLASK_APP=gnpy.tools.rest_server.app flask run
$ curl -v -X POST -H "Content-Type: application/json" -d @gnpy/example-data/2021-demo/yang.json http://localhost:5000/gnpy-experimental/topology
```
ONOS-formatted `devices.json` and `links.json` are available from the topology:
- `http://localhost:5000/gnpy-experimental/onos/devices`
- `http://localhost:5000/gnpy-experimental/onos/links`
## Misc notes
The version of ONOS I used cannot configure the TX power on our transponders:
```
19:06:08.347 INFO [GnpyManager] Configuring egress with power 0.0 for DefaultDevice{id=netconf:10.0.254.103:830, type=TERMINAL_DEVICE, manufacturer=Infinera, hwVersion=Groove, swVersion=4.0.3, serialNumber=, driver=groove}
19:06:08.348 INFO [TerminalDevicePowerConfig] Setting power <rpc xmlns="urn:ietf:params:xml:ns:netconf:base:1.0"><edit-config><target><running/></target><config><components xmlns="http://openconfig.net/yang/platform"><component><name>OCH-1-1-L1</name><optical-channel xmlns="http://openconfig.net/yang/terminal-device"><config><target-output-power>0.0</target-output-power></config></optical-channel></component></components></config></edit-config></rpc>
19:06:08.349 DEBUG [TerminalDevicePowerConfig] Request <?xml version="1.0" encoding="UTF-8" standalone="no"?>
<rpc xmlns="urn:ietf:params:xml:ns:netconf:base:1.0">
<edit-config>
<target>
<running/>
</target>
<config>
<components xmlns="http://openconfig.net/yang/platform">
<component>
<name>OCH-1-1-L1</name>
<optical-channel xmlns="http://openconfig.net/yang/terminal-device">
<config>
<target-output-power>0.0</target-output-power>
</config>
</optical-channel>
</component>
</components>
</config>
</edit-config>
</rpc>
19:06:08.701 DEBUG [TerminalDevicePowerConfig] Response <?xml version="1.0" encoding="UTF-8" standalone="no"?>
<rpc-reply xmlns="urn:ietf:params:xml:ns:netconf:base:1.0" message-id="18">
<ok/>
</rpc-reply>
19:06:08.705 WARN [NetconfSessionMinaImpl] Device netconf:administrator@10.0.254.103:830 has error in reply <?xml version="1.0" encoding="UTF-8"?>
<rpc-reply xmlns="urn:ietf:params:xml:ns:netconf:base:1.0" message-id="18">
<rpc-error>
<error-type>application</error-type>
<error-tag>operation-not-supported</error-tag>
<error-severity>error</error-severity>
<error-message>Request could not be completed because the requested operation is not supported by this implementation.</error-message>
</rpc-error>
</rpc-reply>
19:06:08.706 ERROR [TerminalDevicePowerConfig] error committing channel power
org.onosproject.netconf.NetconfException: Request not successful with device netconf:administrator@10.0.254.103:830 with reply <?xml version="1.0" encoding="UTF-8"?>
<rpc-reply xmlns="urn:ietf:params:xml:ns:netconf:base:1.0" message-id="18">
<rpc-error>
<error-type>application</error-type>
<error-tag>operation-not-supported</error-tag>
<error-severity>error</error-severity>
<error-message>Request could not be completed because the requested operation is not supported by this implementation.</error-message>
</rpc-error>
</rpc-reply>
at org.onosproject.netconf.ctl.impl.NetconfSessionMinaImpl.requestSync(NetconfSessionMinaImpl.java:516) ~[?:?]
at org.onosproject.netconf.ctl.impl.NetconfSessionMinaImpl.requestSync(NetconfSessionMinaImpl.java:509) ~[?:?]
at org.onosproject.netconf.AbstractNetconfSession.commit(AbstractNetconfSession.java:336) ~[?:?]
at org.onosproject.drivers.odtn.openconfig.TerminalDevicePowerConfig$ComponentType.setTargetPower(TerminalDevicePowerConfig.java:401) ~[?:?]
at org.onosproject.drivers.odtn.openconfig.TerminalDevicePowerConfig$ComponentType$1.setTargetPower(TerminalDevicePowerConfig.java:315) ~[?:?]
at org.onosproject.drivers.odtn.openconfig.TerminalDevicePowerConfig.setTargetPower(TerminalDevicePowerConfig.java:222) ~[?:?]
at org.onosproject.odtn.impl.GnpyManager.setPathPower(GnpyManager.java:562) ~[?:?]
at org.onosproject.odtn.impl.GnpyManager$InternalIntentListener.lambda$event$0(GnpyManager.java:509) ~[?:?]
at java.util.concurrent.CompletableFuture$AsyncRun.run(CompletableFuture.java:1736) [?:?]
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1128) [?:?]
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:628) [?:?]
at java.lang.Thread.run(Thread.java:834) [?:?]
```
Filter out launch power settings.
It's not needed anyway, the very first node after a transponder is a ROADM.

View File

@@ -0,0 +1,11 @@
{
"nf_ripple": [
0.0
],
"gain_ripple": [
0.0
],
"dgt": [
1.0
]
}

View File

@@ -0,0 +1,116 @@
{ "Edfa":[
{
"type_variety": "fixed27",
"type_def": "fixed_gain",
"gain_flatmax": 27,
"gain_min": 27,
"p_max": 21,
"nf0": 5.5,
"allowed_for_design": false
},
{
"type_variety": "fixed22",
"type_def": "fixed_gain",
"gain_flatmax": 22,
"gain_min": 22,
"p_max": 21,
"nf0": 5.5,
"allowed_for_design": false
}
],
"Fiber":[{
"type_variety": "SSMF",
"dispersion": 1.67e-05,
"gamma": 0.00127,
"pmd_coef": 1.265e-15
}
],
"Span":[{
"power_mode": false,
"delta_power_range_db": [-2,3,0.5],
"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": -25,
"add_drop_osnr": 30.00,
"pmd": 0,
"restrictions": {
"preamp_variety_list":[],
"booster_variety_list":[]
}
}],
"SI":[{
"f_min": 191.6e12,
"baud_rate": 32e9,
"f_max":195.1e12,
"spacing": 50e9,
"power_dbm": 0,
"power_range_db": [0,0,1],
"roll_off": 0.15,
"tx_osnr": 40,
"sys_margins": 2
}],
"Transceiver":[
{
"type_variety": "Cassini",
"frequency":{
"min": 191.35e12,
"max": 196.1e12
},
"mode":[
{
"format": "dp-qpsk",
"baud_rate": 32e9,
"OSNR": 11,
"bit_rate": 100e9,
"roll_off": 0.15,
"tx_osnr": 40,
"min_spacing": 37.5e9,
"cost":1
},
{
"format": "16-qam",
"baud_rate": 66e9,
"OSNR": 15,
"bit_rate": 200e9,
"roll_off": 0.15,
"tx_osnr": 40,
"min_spacing": 75e9,
"cost":1
}
]
},
{
"type_variety": "Voyager",
"frequency":{
"min": 191.35e12,
"max": 196.1e12
},
"mode":[
{
"format": "mode 1",
"baud_rate": 32e9,
"OSNR": 12,
"bit_rate": 100e9,
"roll_off": 0.15,
"tx_osnr": 40,
"min_spacing": 37.5e9,
"cost":1
}
]
}
]
}

View File

@@ -0,0 +1,291 @@
{
"result": {
"response": [
{
"path-properties": {
"path-metric": [
{
"accumulative-value": 19.38,
"metric-type": "SNR-bandwidth"
},
{
"accumulative-value": 23.46,
"metric-type": "SNR-0.1nm"
},
{
"accumulative-value": 19.38,
"metric-type": "OSNR-bandwidth"
},
{
"accumulative-value": 23.47,
"metric-type": "OSNR-0.1nm"
},
{
"accumulative-value": 100000000000,
"metric-type": "path_bandwidth"
}
],
"path-route-objects": [
{
"path-route-object": {
"index": 0,
"label-hop": {
"M": 4,
"N": -236
},
"num-unnum-hop": {
"gnpy-node-type": "transceiver",
"gnpy-nodes": [
"trx-Bremen"
],
"link-tp-id": "netconf:10.0.254.103:830",
"node-id": "netconf:10.0.254.103:830",
"transponder": {
"transponder-mode": "dp-qpsk",
"transponder-type": "Cassini"
}
}
}
},
{
"path-route-object": {
"index": 1,
"label-hop": {
"M": 4,
"N": -236
},
"num-unnum-hop": {
"gnpy-node-type": "ROADM",
"gnpy-nodes": [
"roadm-Bremen-AD"
],
"link-tp-id": "netconf:10.0.254.225:830",
"node-id": "netconf:10.0.254.225:830",
"target-channel-power": -12
}
}
},
{
"path-route-object": {
"index": 5,
"label-hop": {
"M": 4,
"N": -236
},
"num-unnum-hop": {
"gnpy-node-type": "ROADM",
"gnpy-nodes": [
"roadm-Bremen-L2"
],
"link-tp-id": "netconf:10.0.254.102:830",
"node-id": "netconf:10.0.254.102:830",
"target-channel-power": -23
}
}
},
{
"path-route-object": {
"index": 9,
"label-hop": {
"M": 4,
"N": -236
},
"num-unnum-hop": {
"gnpy-node-type": "ROADM",
"gnpy-nodes": [
"roadm-Amsterdam-L1"
],
"link-tp-id": "netconf:10.0.254.78:830",
"node-id": "netconf:10.0.254.78:830",
"target-channel-power": -12
}
}
},
{
"path-route-object": {
"index": 13,
"label-hop": {
"M": 4,
"N": -236
},
"num-unnum-hop": {
"gnpy-node-type": "ROADM",
"gnpy-nodes": [
"roadm-Amsterdam-AD"
],
"link-tp-id": "netconf:10.0.254.107:830",
"node-id": "netconf:10.0.254.107:830",
"target-channel-power": -13
}
}
},
{
"path-route-object": {
"index": 14,
"label-hop": {
"M": 4,
"N": -236
},
"num-unnum-hop": {
"gnpy-node-type": "transceiver",
"gnpy-nodes": [
"trx-Amsterdam"
],
"link-tp-id": "netconf:10.0.254.105:830",
"node-id": "netconf:10.0.254.105:830",
"transponder": {
"transponder-mode": "dp-qpsk",
"transponder-type": "Cassini"
}
}
}
}
],
"reversed-path-route-objects": [
{
"path-route-object": {
"index": 0,
"label-hop": {
"M": 4,
"N": -236
},
"num-unnum-hop": {
"gnpy-node-type": "transceiver",
"gnpy-nodes": [
"trx-Amsterdam"
],
"link-tp-id": "netconf:10.0.254.105:830",
"node-id": "netconf:10.0.254.105:830",
"transponder": {
"transponder-mode": "dp-qpsk",
"transponder-type": "Cassini"
}
}
}
},
{
"path-route-object": {
"index": 1,
"label-hop": {
"M": 4,
"N": -236
},
"num-unnum-hop": {
"gnpy-node-type": "ROADM",
"gnpy-nodes": [
"roadm-Amsterdam-AD"
],
"link-tp-id": "netconf:10.0.254.107:830",
"node-id": "netconf:10.0.254.107:830",
"target-channel-power": -12
}
}
},
{
"path-route-object": {
"index": 6,
"label-hop": {
"M": 4,
"N": -236
},
"num-unnum-hop": {
"gnpy-node-type": "EDFA",
"gnpy-nodes": [
"roadm-Amsterdam-L1-booster"
],
"link-tp-id": "netconf:10.0.254.78:830",
"node-id": "netconf:10.0.254.78:830",
"target-channel-power": -1
}
}
},
{
"path-route-object": {
"index": 9,
"label-hop": {
"M": 4,
"N": -236
},
"num-unnum-hop": {
"gnpy-node-type": "ROADM",
"gnpy-nodes": [
"roadm-Bremen-L2"
],
"link-tp-id": "netconf:10.0.254.102:830",
"node-id": "netconf:10.0.254.102:830",
"target-channel-power": -12
}
}
},
{
"path-route-object": {
"index": 13,
"label-hop": {
"M": 4,
"N": -236
},
"num-unnum-hop": {
"gnpy-node-type": "ROADM",
"gnpy-nodes": [
"roadm-Bremen-AD"
],
"link-tp-id": "netconf:10.0.254.225:830",
"node-id": "netconf:10.0.254.225:830",
"target-channel-power": -13
}
}
},
{
"path-route-object": {
"index": 14,
"label-hop": {
"M": 4,
"N": -236
},
"num-unnum-hop": {
"gnpy-node-type": "transceiver",
"gnpy-nodes": [
"trx-Bremen"
],
"link-tp-id": "netconf:10.0.254.103:830",
"node-id": "netconf:10.0.254.103:830",
"transponder": {
"transponder-mode": "dp-qpsk",
"transponder-type": "Cassini"
}
}
}
}
],
"z-a-path-metric": [
{
"accumulative-value": 19.38,
"metric-type": "SNR-bandwidth"
},
{
"accumulative-value": 23.46,
"metric-type": "SNR-0.1nm"
},
{
"accumulative-value": 19.38,
"metric-type": "OSNR-bandwidth"
},
{
"accumulative-value": 23.47,
"metric-type": "OSNR-0.1nm"
},
{
"accumulative-value": 0.001,
"metric-type": "reference_power"
},
{
"accumulative-value": 100000000000,
"metric-type": "path_bandwidth"
}
]
},
"response-id": "onos-3"
}
]
}
}

View File

@@ -0,0 +1,447 @@
import json
from pathlib import Path
from gnpy.tools.json_io import load_equipment, load_network
from gnpy.yang.io import save_to_json
# How many nodes in the ring topology? Up to eight is supported, then I ran out of cities..
HOW_MANY = 3
# city names
ALL_CITIES = [
'Amsterdam',
'Bremen',
'Cologne',
'Dueseldorf',
'Eindhoven',
'Frankfurt',
'Ghent',
'Hague',
]
# end of configurable parameters
J = {
"elements": [],
"connections": [],
}
def unidir_join(a, b):
global J
J["connections"].append(
{"from_node": a, "to_node": b}
)
def mk_edfa(name, gain, voa=0.0):
global J
J["elements"].append(
{"uid": name, "type": "Edfa", "type_variety": f"fixed{gain}", "operational": {"gain_target": gain, "out_voa": voa}}
)
def add_att(a, b, att):
global J
if att > 0:
uid = f"att-({a})-({b})"
else:
uid = f"splice-({a})-({b})"
J["elements"].append(
{"uid": uid, "type": "Fused", "params": {"loss": att}},
)
unidir_join(a, uid)
unidir_join(uid, b)
return uid
def build_fiber(city1, city2):
global J
J["elements"].append(
{
"uid": f"fiber-{city1}-{city2}",
"type": "Fiber",
"type_variety": "SSMF",
"params": {
"length": 50,
"length_units": "km",
"loss_coef": 0.2,
"con_in": 1.5,
"con_out": 1.5,
}
}
)
def unidir_patch(a, b):
global J
uid = f"patch-({a})-({b})"
J["elements"].append(
{
"uid": uid,
"type": "Fiber",
"type_variety": "SSMF",
"params": {
"length": 0,
"length_units": "km",
"loss_coef": 0.2,
"con_in": 0.5,
"con_out": 0.5,
}
}
)
add_att(a, uid, 0.0)
add_att(uid, b, 0.0)
for CITY in (ALL_CITIES[x] for x in range(0, HOW_MANY)):
J["elements"].append(
{"uid": f"trx-{CITY}", "type_variety": "Cassini", "type": "Transceiver"}
)
target_pwr = {
f"trx-{CITY}": -8,
f"splice-(roadm-{CITY}-AD)-(patch-(roadm-{CITY}-AD)-(roadm-{CITY}-L1))": -12,
f"splice-(roadm-{CITY}-AD)-(patch-(roadm-{CITY}-AD)-(roadm-{CITY}-L2))": -12,
}
J["elements"].append(
{"uid": f"roadm-{CITY}-AD", "type": "Roadm", "params": {"target_pch_out_db": -2.0, "per_degree_pch_out_db": target_pwr}}
)
unidir_join(f"trx-{CITY}", f"roadm-{CITY}-AD")
unidir_join(f"roadm-{CITY}-AD", f"trx-{CITY}")
for n in (1,2):
target_pwr = {
f"roadm-{CITY}-L{n}-booster": -23,
f"splice-(roadm-{CITY}-L{n})-(patch-(roadm-{CITY}-L{n})-(roadm-{CITY}-AD))": -12,
}
for m in (1,2):
if m == n:
continue
target_pwr[f"splice-(roadm-{CITY}-L{n})-(patch-(roadm-{CITY}-L{n})-(roadm-{CITY}-L{m}))"] = -12
J["elements"].append(
{"uid": f"roadm-{CITY}-L{n}", "type": "Roadm", "params": {"target_pch_out_db": -23.0, "per_degree_pch_out_db": target_pwr}}
)
mk_edfa(f"roadm-{CITY}-L{n}-booster", 22)
mk_edfa(f"roadm-{CITY}-L{n}-preamp", 27)
unidir_join(f"roadm-{CITY}-L{n}", f"roadm-{CITY}-L{n}-booster")
unidir_join(f"roadm-{CITY}-L{n}-preamp", f"roadm-{CITY}-L{n}")
unidir_patch(f"roadm-{CITY}-AD", f"roadm-{CITY}-L{n}")
unidir_patch(f"roadm-{CITY}-L{n}", f"roadm-{CITY}-AD")
for m in (1,2):
if m == n:
continue
unidir_patch(f"roadm-{CITY}-L{n}", f"roadm-{CITY}-L{m}")
for city1, city2 in ((ALL_CITIES[i], ALL_CITIES[i + 1] if i < HOW_MANY - 1 else ALL_CITIES[0]) for i in range(0, HOW_MANY)):
build_fiber(city1, city2)
unidir_join(f"roadm-{city1}-L1-booster", f"fiber-{city1}-{city2}")
unidir_join(f"fiber-{city1}-{city2}", f"roadm-{city2}-L2-preamp")
build_fiber(city2, city1)
unidir_join(f"roadm-{city2}-L2-booster", f"fiber-{city2}-{city1}")
unidir_join(f"fiber-{city2}-{city1}", f"roadm-{city1}-L1-preamp")
for _, E in enumerate(J["elements"]):
uid = E["uid"]
if uid.startswith("roadm-") and (uid.endswith("-L1-booster") or uid.endswith("-L2-booster")):
E["operational"]["out_voa"] = 12.0
with open('gnpy/example-data/2021-demo/original-gnpy.json', 'w') as f:
json.dump(J, f, indent=2)
equipment = load_equipment('gnpy/example-data/2021-demo/equipment.json')
network = load_network(Path('gnpy/example-data/2021-demo/original-gnpy.json'), equipment)
yang_bundle = save_to_json(equipment, network)
with open('gnpy/example-data/2021-demo/yang-without-onos.json', 'w') as f:
json.dump(yang_bundle, f, indent=2)
yang_bundle['ietf-network:networks']['network'].append({
"network-id": "ONOS",
"network-types": {
"tip-onos-topology:onos-topology": {
}
},
"node": [
{
"node-id": "netconf:10.0.254.105:830",
"supporting-node": [
{
"network-ref": "GNPy",
"node-ref": "trx-Amsterdam"
}
],
"tip-onos-topology:device": {
"name": "Amsterdam TXP (g30-horni)",
"driver": "groove",
"grid-x": -150,
"grid-y": 350,
"netconf": {
"username": "administrator",
"password": "e2e!Net4u#"
}
}
},
{
"node-id": "netconf:10.0.254.78:830",
"supporting-node": [
{
"network-ref": "GNPy",
"node-ref": "roadm-Amsterdam-L1"
},
{
"network-ref": "GNPy",
"node-ref": "roadm-Amsterdam-L1-preamp"
},
{
"network-ref": "GNPy",
"node-ref": "roadm-Amsterdam-L1-booster"
}
],
"tip-onos-topology:device": {
"name": "Amsterdam L1 to Bremen (line-QR79)",
"driver": "czechlight-roadm",
"grid-x": 225,
"grid-y": 320,
"netconf": {
"idle-timeout": 0,
"username": "dwdm",
"password": "dwdm"
}
}
},
{
"node-id": "netconf:10.0.254.79:830",
"supporting-node": [
{
"network-ref": "GNPy",
"node-ref": "roadm-Amsterdam-L2"
},
{
"network-ref": "GNPy",
"node-ref": "roadm-Amsterdam-L2-boster"
},
{
"network-ref": "GNPy",
"node-ref": "roadm-Amsterdam-L2-preamp"
}
],
"tip-onos-topology:device": {
"name": "Amsterdam L2 to Cologne (line-Q7JS)",
"driver": "czechlight-roadm",
"grid-x": 225,
"grid-y": 380,
"netconf": {
"idle-timeout": 0,
"username": "dwdm",
"password": "dwdm"
}
}
},
{
"node-id": "netconf:10.0.254.107:830",
"supporting-node": [
{
"network-ref": "GNPy",
"node-ref": "roadm-Amsterdam-AD"
}
],
"tip-onos-topology:device": {
"name": "Amsterdam Add/Drop (coh-a-d-v9u)",
"driver": "czechlight-roadm",
"grid-x": 175,
"grid-y": 350,
"netconf": {
"idle-timeout": 0,
"username": "dwdm",
"password": "dwdm"
}
}
},
{
"node-id": "netconf:10.0.254.99:830",
"supporting-node": [
{
"network-ref": "GNPy",
"node-ref": "roadm-Cologne-L1"
},
{
"network-ref": "GNPy",
"node-ref": "roadm-Cologne-L1-preamp"
},
{
"network-ref": "GNPy",
"node-ref": "roadm-Cologne-L1-booster"
}
],
"tip-onos-topology:device": {
"name": "Cologne L1 to Amsterdam (line-TQQ)",
"driver": "czechlight-roadm",
"grid-x": 420,
"grid-y": 550,
"netconf": {
"idle-timeout": 0,
"username": "dwdm",
"password": "dwdm"
}
}
},
{
"node-id": "netconf:10.0.254.104:830",
"supporting-node": [
{
"network-ref": "GNPy",
"node-ref": "roadm-Cologne-L2"
},
{
"network-ref": "GNPy",
"node-ref": "roadm-Cologne-L2-boster"
},
{
"network-ref": "GNPy",
"node-ref": "roadm-Cologne-L2-preamp"
}
],
"tip-onos-topology:device": {
"name": "Cologne L2 to Bremen (line-QLK6)",
"driver": "czechlight-roadm",
"grid-x": 480,
"grid-y": 550,
"netconf": {
"idle-timeout": 0,
"username": "dwdm",
"password": "dwdm"
}
}
},
{
"node-id": "netconf:10.0.254.100:830",
"supporting-node": [
{
"network-ref": "GNPy",
"node-ref": "roadm-Bremen-L1"
},
{
"network-ref": "GNPy",
"node-ref": "roadm-Bremen-L1-preamp"
},
{
"network-ref": "GNPy",
"node-ref": "roadm-Bremen-L1-booster"
}
],
"tip-onos-topology:device": {
"name": "Bremen L1 to Cologne (line-WKP)",
"driver": "czechlight-roadm",
"grid-x": 700,
"grid-y": 380,
"netconf": {
"idle-timeout": 0,
"username": "dwdm",
"password": "dwdm"
}
}
},
{
"node-id": "netconf:10.0.254.102:830",
"supporting-node": [
{
"network-ref": "GNPy",
"node-ref": "roadm-Bremen-L2"
},
# try removing the following section to see how a wrong power config affects the results
{
"network-ref": "GNPy",
"node-ref": "roadm-Bremen-L2-booster"
},
{
"network-ref": "GNPy",
"node-ref": "roadm-Bremen-L2-preamp"
}
],
"tip-onos-topology:device": {
"name": "Bremen L2 to Amsterdam (line-QCP9)",
"driver": "czechlight-roadm",
"grid-x": 700,
"grid-y": 320,
"netconf": {
"idle-timeout": 0,
"username": "dwdm",
"password": "dwdm"
}
}
},
{
"node-id": "netconf:10.0.254.225:830",
"supporting-node": [
{
"network-ref": "GNPy",
"node-ref": "roadm-Bremen-AD"
}
],
"tip-onos-topology:device": {
"name": "Bremen Add/Drop (add-drop-SPI)",
"driver": "czechlight-roadm",
"grid-x": 750,
"grid-y": 350,
"netconf": {
"idle-timeout": 0,
"username": "dwdm",
"password": "dwdm"
}
}
},
{
"node-id": "netconf:10.0.254.103:830",
"supporting-node": [
{
"network-ref": "GNPy",
"node-ref": "trx-Bremen"
}
],
"tip-onos-topology:device": {
"name": "Amsterdam TXP (g30-spodni)",
"driver": "groove",
"grid-x": 1050,
"grid-y": 350,
"netconf": {
"username": "administrator",
"password": "e2e!Net4u#"
}
}
}
],
"ietf-network-topology:link": [
{
"link-id": "netconf:10.0.254.105:830/10101-netconf:10.0.254.107:830/1"
},
{
"link-id": "netconf:10.0.254.107:830/100-netconf:10.0.254.78:830/1"
},
{
"link-id": "netconf:10.0.254.107:830/100-netconf:10.0.254.79:830/2"
},
{
"link-id": "netconf:10.0.254.79:830/1-netconf:10.0.254.78:830/2"
},
{
"link-id": "netconf:10.0.254.99:830/1-netconf:10.0.254.104:830/1"
},
{
"link-id": "netconf:10.0.254.79:830/100-netconf:10.0.254.99:830/100"
},
{
"link-id": "netconf:10.0.254.104:830/100-netconf:10.0.254.100:830/100"
},
{
"link-id": "netconf:10.0.254.102:830/100-netconf:10.0.254.78:830/100"
},
{
"link-id": "netconf:10.0.254.100:830/1-netconf:10.0.254.225:830/100"
},
{
"link-id": "netconf:10.0.254.102:830/2-netconf:10.0.254.225:830/100"
},
{
"link-id": "netconf:10.0.254.102:830/1-netconf:10.0.254.100:830/2"
},
{
"link-id": "netconf:10.0.254.103:830/10101-netconf:10.0.254.225:830/1"
}
]
}
)
with open('gnpy/example-data/2021-demo/yang.json', 'w') as f:
json.dump(yang_bundle, f, indent=2)

View File

@@ -0,0 +1 @@
{"path-request":[{"request-id":"onos-3","source":"netconf:10.0.254.103:830","destination":"netconf:10.0.254.105:830","src-tp-id":"netconf:10.0.254.103:830","dst-tp-id":"netconf:10.0.254.105:830","bidirectional":true,"path-constraints":{"te-bandwidth":{"technology":"flexi-grid","trx_type":"Cassini","trx_mode":null,"effective-freq-slot":[{"N":"null","M":"null"}],"spacing":5.0E10,"max-nb-of-channel":null,"output-power":null,"path_bandwidth":1.0E11}}}]}

File diff suppressed because it is too large Load Diff

File diff suppressed because it is too large Load Diff

File diff suppressed because it is too large Load Diff

View File

@@ -138,7 +138,7 @@
"baud_rate": 27.95e9,
"OSNR": 17,
"bit_rate": 100e9,
"roll_off": null,
"roll_off": 0.15,
"tx_osnr": 33,
"min_spacing": 50e9,
"cost":1

View File

@@ -9,6 +9,7 @@ Common code for CLI examples
'''
import argparse
import json
import logging
import os.path
import sys
@@ -31,6 +32,7 @@ from gnpy.topology.spectrum_assignment import build_oms_list, pth_assign_spectru
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.plots import plot_baseline, plot_results
from gnpy.yang.io import load_from_yang, save_to_json
_logger = logging.getLogger(__name__)
_examples_dir = Path(__file__).parent.parent / 'example-data'
@@ -42,22 +44,28 @@ Learn more at https://gnpy.readthedocs.io/
'''
_help_fname_json = 'FILE.json'
_help_fname_json_csv = 'FILE.(json|csv)'
_help_fname_yangjson = 'FILE-with-YANG.json'
def show_example_data_dir():
print(f'{_examples_dir}/')
def _load_network_legacy(topology_filename, equipment, save_raw_network_filename):
network = load_network(topology_filename, equipment)
if save_raw_network_filename is not None:
save_network(network, save_raw_network_filename)
print(f'{ansi_escapes.blue}Raw network (no optimizations) saved to {save_raw_network_filename}{ansi_escapes.reset}')
return network
def load_common_data(equipment_filename, topology_filename, simulation_filename, save_raw_network_filename):
'''Load common configuration from JSON files'''
try:
equipment = load_equipment(equipment_filename)
network = load_network(topology_filename, equipment)
if save_raw_network_filename is not None:
save_network(network, save_raw_network_filename)
print(f'{ansi_escapes.blue}Raw network (no optimizations) saved to {save_raw_network_filename}{ansi_escapes.reset}')
sim_params = SimParams(**load_json(simulation_filename)) if simulation_filename is not None else None
network = _load_network_legacy(topology_filename, equipment, save_raw_network_filename)
if not sim_params:
if next((node for node in network if isinstance(node, RamanFiber)), None) is not None:
print(f'{ansi_escapes.red}Invocation error:{ansi_escapes.reset} '
@@ -88,14 +96,17 @@ def _setup_logging(args):
logging.basicConfig(level={2: logging.DEBUG, 1: logging.INFO, 0: logging.CRITICAL}.get(args.verbose, logging.DEBUG))
def _parser_add_equipment(parser: argparse.ArgumentParser):
parser.add_argument('-e', '--equipment', type=Path, metavar=_help_fname_json,
default=_examples_dir / 'eqpt_config.json', help='Equipment library')
def _add_common_options(parser: argparse.ArgumentParser, network_default: Path):
parser.add_argument('topology', nargs='?', type=Path, metavar='NETWORK-TOPOLOGY.(json|xls|xlsx)',
default=network_default,
help='Input network topology')
parser.add_argument('-v', '--verbose', action='count', default=0,
help='Increase verbosity (can be specified several times)')
parser.add_argument('-e', '--equipment', type=Path, metavar=_help_fname_json,
default=_examples_dir / 'eqpt_config.json', help='Equipment library')
_parser_add_equipment(parser)
parser.add_argument('--sim-params', type=Path, metavar=_help_fname_json,
default=None, help='Path to the JSON containing simulation parameters (required for Raman). '
f'Example: {_examples_dir / "sim_params.json"}')
@@ -103,6 +114,8 @@ def _add_common_options(parser: argparse.ArgumentParser, network_default: Path):
help='Save the final network as a JSON file')
parser.add_argument('--save-network-before-autodesign', type=Path, metavar=_help_fname_json,
help='Dump the network into a JSON file prior to autodesign')
parser.add_argument('--from-yang', type=Path, metavar=_help_fname_yangjson,
help='Load equipment, (in future also topology) and simulation parameters from a YANG-formatted JSON file')
def transmission_main_example(args=None):
@@ -122,7 +135,15 @@ def transmission_main_example(args=None):
args = parser.parse_args(args if args is not None else sys.argv[1:])
_setup_logging(args)
(equipment, network) = load_common_data(args.equipment, args.topology, args.sim_params, args.save_network_before_autodesign)
if args.from_yang:
# FIXME: move this into a better place, it does not belong to a CLI frontend
with open(args.from_yang, 'r') as f:
raw_json = json.load(f)
(equipment, network) = load_from_yang(raw_json)
if args.save_network_before_autodesign is not None:
save_network(network, args.save_network_before_autodesign)
else:
(equipment, network) = load_common_data(args.equipment, args.topology, args.sim_params, args.save_network_before_autodesign)
if args.plot:
plot_baseline(network)
@@ -214,17 +235,16 @@ def transmission_main_example(args=None):
f'and {destination.uid}')
print(f'\nNow propagating between {source.uid} and {destination.uid}:')
try:
p_start, p_stop, p_step = equipment['SI']['default'].power_range_db
p_num = abs(int(round((p_stop - p_start) / p_step))) + 1 if p_step != 0 else 1
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]')
power_range = [0]
if not power_mode:
power_range = [0]
if power_mode:
# power cannot be changed in gain mode
power_range = [0]
try:
p_start, p_stop, p_step = equipment['SI']['default'].power_range_db
p_num = abs(int(round((p_stop - p_start) / p_step))) + 1 if p_step != 0 else 1
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]')
for dp_db in power_range:
req.power = db2lin(pref_ch_db + dp_db) * 1e-3
if power_mode:
@@ -440,3 +460,22 @@ def path_requests_run(args=None):
else:
print(f'{ansi_escapes.red}Cannot save output: neither JSON nor CSV file{ansi_escapes.reset}')
sys.exit(1)
def convert_to_yang(args=None):
parser = argparse.ArgumentParser(
description='Convert data to the YANG+JSON data format',
epilog=_help_footer,
formatter_class=argparse.ArgumentDefaultsHelpFormatter,
)
_parser_add_equipment(parser)
parser.add_argument('--topology', type=Path, metavar='NETWORK-TOPOLOGY.(json|xls|xlsx)',
help='Input network topology')
args = parser.parse_args(args if args is not None else sys.argv[1:])
equipment = load_equipment(args.equipment)
network = load_network(args.topology, equipment) if args.topology is not None else None
data = save_to_json(equipment, network)
print(json.dumps(data, indent=2))

View File

@@ -0,0 +1,198 @@
# SPDX-License-Identifier: BSD-3-Clause
#
# Copyright (C) 2021 Telecom Infra Project and GNPy contributors
# see LICENSE.md for a list of contributors
#
from gnpy.yang.io import load_from_yang
from gnpy.core.network import build_network
from gnpy.core.utils import lin2db, automatic_nch
from gnpy.topology.request import deduplicate_disjunctions, requests_aggregation, \
compute_path_dsjctn, compute_path_with_disjunction, ResultElement
from gnpy.topology.spectrum_assignment import build_oms_list, pth_assign_spectrum
from gnpy.tools.json_io import disjunctions_from_json, requests_from_json
from flask import Flask, request, abort, Response
import copy
class YangRunner:
def __init__(self):
self.equipment = None
self.network = None
self.onos_devices = {}
self.onos_links = {}
mapping = {}
def parse_onos_network(self, data):
gnpy_network_name = None
for network in data['ietf-network:networks']['network']:
if 'tip-photonic-topology:photonic-topology' in network['network-types']:
gnpy_network_name = network['network-id']
break
if gnpy_network_name is None:
raise Exception('Cannot find that GNPy topology')
for network in data['ietf-network:networks']['network']:
if 'tip-onos-topology:onos-topology' not in network['network-types']:
continue
for node in network['node']:
device_id = node['node-id']
proto, ip, port = device_id.split(':') # no clue about IPv6
if port != '830':
raise Exception(f'Fishy DeviceID in ONOS topology: {device_id}')
for supporting_node in node['supporting-node']:
if supporting_node['network-ref'] != gnpy_network_name:
continue
self.mapping[supporting_node['node-ref']] = ip
if 'tip-onos-topology:device' not in node:
continue
onos_dev = node['tip-onos-topology:device']
dev = {
'basic': {
'name': onos_dev['name'],
'driver': onos_dev['driver'],
'gridX': onos_dev['grid-x'],
'gridY': onos_dev['grid-y'],
},
'netconf': {
'username': onos_dev['netconf']['username'],
'password': onos_dev['netconf']['password'],
},
}
if 'idle-timeout' in onos_dev['netconf']:
dev['netconf']['idle-timeout'] = onos_dev['netconf']['idle-timeout']
self.onos_devices[device_id] = dev
for link in network['ietf-network-topology:link']:
link_id = link['link-id']
a, b = link_id.split('-')
for device_id in a, b:
proto, ip, port = device_id.split(':') # no clue about IPv6
if ip not in self.mapping.values():
raise Exception(f'Link {link_id} refers to an undefiend device address: {ip}')
self.onos_links[link_id] = {
'basic': {
'type': 'OPTICAL',
'durable': True,
'bidirectional': True,
}
}
def upload_equipment_and_network(self, data):
self.parse_onos_network(data)
self.equipment, self.network = load_from_yang(data)
p_db = self.equipment['SI']['default'].power_dbm
p_total_db = p_db + lin2db(automatic_nch(self.equipment['SI']['default'].f_min,
self.equipment['SI']['default'].f_max,
self.equipment['SI']['default'].spacing))
build_network(self.network, self.equipment, p_db, p_total_db)
self.oms_list = build_oms_list(self.network, self.equipment)
def handle_request(self, incoming):
backup_net = copy.deepcopy(self.network)
backup_oms_list = copy.deepcopy(self.oms_list)
try:
if self.equipment is None or self.network is None:
raise Exception('Missing equipment library or the network topology')
requests = requests_from_json(incoming, self.equipment)
disjunctions = disjunctions_from_json(requests)
disjunctions = deduplicate_disjunctions(disjunctions)
requests, disjunctions = requests_aggregation(requests, disjunctions)
paths = compute_path_dsjctn(self.network, self.equipment, requests, disjunctions)
propagated_paths, reversed_paths, reversed_propagated_paths = \
compute_path_with_disjunction(self.network, self.equipment, requests, paths)
pth_assign_spectrum(paths, requests, self.oms_list, reversed_paths)
return [ResultElement(requests[i], path, reversed_propagated_paths[i]).json
for i, path in enumerate(propagated_paths)]
finally:
self.network = backup_net
self.oms_list = backup_oms_list
def handle_request_with_translation(self, incoming):
fixed_input = {'path-request': []}
for item in incoming['path-request']:
for k in ('source', 'destination', 'src-tp-id', 'dst-tp-id'):
item[k] = self.incoming_name_for(item[k])
fixed_input['path-request'].append(item)
responses = self.handle_request(fixed_input)
for response in responses:
# Filter out 'reference_power' because ONOS uses that for TXP launch power and that's broken on my TXPs
response['path-properties']['path-metric'] = [
metric for metric in response['path-properties']['path-metric']
if metric['metric-type'] != 'reference_power'
]
# Filter GNPy-level NEs which do not apply to ONOS, and translate their names
for direction in ('path-route-objects', 'reversed-path-route-objects'):
i = 0
objects = response['path-properties'][direction]
resulting_pro = []
last_name = None
squashed_names = []
while i < len(objects):
orig_name = objects[i]['path-route-object']['num-unnum-hop']['node-id']
translated_name = self.name_for(orig_name)
if translated_name is None:
# not an ONOS-level element
i += 1
continue
squashed_names.append(orig_name)
if translated_name == last_name:
resulting_pro.pop()
last_name = translated_name
resulting_pro.append(objects[i])
resulting_pro[-1]['path-route-object']['num-unnum-hop']['gnpy-nodes'] = copy.copy(squashed_names)
resulting_pro[-1]['path-route-object']['num-unnum-hop']['node-id'] = translated_name
resulting_pro[-1]['path-route-object']['num-unnum-hop']['link-tp-id'] = translated_name
if len(squashed_names) > 1:
resulting_pro[-1]['path-route-object']['num-unnum-hop']['gnpy-node-type'] = 'ROADM'
i += 1
squashed_names.clear()
response['path-properties'][direction] = resulting_pro
return responses
def name_for(self, node_id):
return f'netconf:{self.mapping[node_id]}:830' if node_id in self.mapping else None
def incoming_name_for(self, onos_name):
onos_name = onos_name[len('netconf:'):]
onos_name = onos_name[:-len(':830')]
return next(k for k, v in self.mapping.items() if v == onos_name)
server = YangRunner()
app = Flask('GNPy')
@app.route('/gnpy-experimental/topology', methods=['POST'])
def upload_yang():
server.upload_equipment_and_network(request.json)
abort(Response(status=200))
@app.route('/gnpy-experimental', methods=['GET', 'POST'])
def simulation():
if server.network is None:
abort(Response(status=400, response='not provisioned yet'))
elif request.method == 'POST':
return {'result': {'response': server.handle_request_with_translation(request.json)}}
else:
return {'ping': True}
@app.route('/gnpy-experimental/onos/devices')
def show_onos_devices():
if server.network is None:
abort(Response(status=400, response='not provisioned yet'))
return {'devices': server.onos_devices}
@app.route('/gnpy-experimental/onos/links')
def show_onos_links():
if server.network is None:
abort(Response(status=400, response='not provisioned yet'))
return {'links': server.onos_links}

View File

@@ -21,7 +21,7 @@ from networkx import (dijkstra_path, NetworkXNoPath,
all_simple_paths, shortest_simple_paths)
from networkx.utils import pairwise
from numpy import mean
from gnpy.core.elements import Transceiver, Roadm
from gnpy.core.elements import Transceiver, Roadm, Edfa
from gnpy.core.utils import lin2db
from gnpy.core.info import create_input_spectral_information
from gnpy.core.exceptions import ServiceError, DisjunctionError
@@ -145,53 +145,55 @@ class ResultElement:
@property
def detailed_path_json(self):
return self.detailed_json_for_path(self.computed_path)
@property
def detailed_reversed_path_json(self):
return self.detailed_json_for_path(self.reversed_computed_path)
def detailed_json_for_path(self, path):
""" a function that builds path object for normal and blocking cases
"""
index = 0
pro_list = []
for element in self.computed_path:
for index, element in enumerate(path):
temp = {
'path-route-object': {
'index': index,
'num-unnum-hop': {
'node-id': element.uid,
'link-tp-id': element.uid,
# TODO change index in order to insert transponder attribute
}
}
}
pro_list.append(temp)
index += 1
if self.path_request.M > 0:
temp = {
'path-route-object': {
'index': index,
"label-hop": {
"N": self.path_request.N,
"M": self.path_request.M
},
}
temp['path-route-object']["label-hop"] = {
"N": self.path_request.N,
"M": self.path_request.M
}
pro_list.append(temp)
index += 1
elif self.path_request.M == 0 and hasattr(self.path_request, 'blocking_reason'):
# if the path is blocked due to spectrum, no label object is created, but
# the json response includes a detailed path for user infromation.
pass
else:
raise ServiceError('request {self.path_id} should have positive path bandwidth value.')
if isinstance(element, Transceiver):
temp = {
'path-route-object': {
'index': index,
'transponder': {
'transponder-type': self.path_request.tsp,
'transponder-mode': self.path_request.tsp_mode
}
}
temp['path-route-object']['num-unnum-hop']['gnpy-node-type'] = 'transceiver'
temp['path-route-object']['num-unnum-hop']['transponder'] = {
'transponder-type': self.path_request.tsp,
'transponder-mode': self.path_request.tsp_mode
}
pro_list.append(temp)
index += 1
if isinstance(element, Edfa):
temp['path-route-object']['num-unnum-hop']['gnpy-node-type'] = 'EDFA'
temp['path-route-object']['num-unnum-hop']['target-channel-power'] = element.effective_pch_out_db
temp['path-route-object']['output-voa']: element.out_voa
if isinstance(element, Roadm):
temp['path-route-object']['num-unnum-hop']['gnpy-node-type'] = 'ROADM'
temp['path-route-object']['num-unnum-hop']['target-channel-power'] = element.effective_pch_out_db
pro_list.append(temp)
return pro_list
@property
@@ -231,7 +233,8 @@ class ResultElement:
path_properties = {
'path-metric': path_metric(self.computed_path, self.path_request),
'z-a-path-metric': path_metric(self.reversed_computed_path, self.path_request),
'path-route-objects': self.detailed_path_json
'path-route-objects': self.detailed_path_json,
'reversed-path-route-objects': self.detailed_reversed_path_json,
}
else:
path_properties = {

25
gnpy/yang/__init__.py Normal file
View File

@@ -0,0 +1,25 @@
# SPDX-License-Identifier: BSD-3-Clause
#
# Copyright (C) 2020 Telecom Infra Project and GNPy contributors
# see LICENSE.md for a list of contributors
'''
Working with YANG-encoded data
'''
from pathlib import Path
def model_path() -> Path:
'''Filesystem path to TIP's own YANG models'''
return Path(__file__).parent / 'tip'
def external_path() -> Path:
'''Filesystem path to third-party YANG models that are shipped with GNPy'''
return Path(__file__).parent / 'ext'
def _yang_library() -> Path:
'''Filesystem path the the ietf-yanglib JSON file'''
return Path(__file__).parent / 'yanglib.json'

24
gnpy/yang/conversion.py Normal file
View File

@@ -0,0 +1,24 @@
# SPDX-License-Identifier: BSD-3-Clause
#
# Copyright (C) 2020 Telecom Infra Project and GNPy contributors
# see LICENSE.md for a list of contributors
"""
Scaling factors for unit conversion
===================================
In YANG, the data model defines units for each possible value explicitly.
This makes it possible for users to input data using the customary, common units.
The :py:mod:`gnpy.yang.conversion` module holds scaling factors for conversion of SI units into YANG units and back.
By convention, each items is used for multiplication when going from YANG to the legacy JSON.
When converting from legacy JSON to YANG, use division.
"""
import math
FIBER_DISPERSION = 1e-6
FIBER_DISPERSION_SLOPE = 1e3
FIBER_GAMMA = 1e-3
FIBER_PMD_COEF = 1e-14 * math.sqrt(10)
THZ = 1e12
GIGA = 1000 * 1000 * 1000

View File

@@ -0,0 +1,458 @@
module ietf-inet-types {
namespace "urn:ietf:params:xml:ns:yang:ietf-inet-types";
prefix "inet";
organization
"IETF NETMOD (NETCONF Data Modeling Language) Working Group";
contact
"WG Web: <http://tools.ietf.org/wg/netmod/>
WG List: <mailto:netmod@ietf.org>
WG Chair: David Kessens
<mailto:david.kessens@nsn.com>
WG Chair: Juergen Schoenwaelder
<mailto:j.schoenwaelder@jacobs-university.de>
Editor: Juergen Schoenwaelder
<mailto:j.schoenwaelder@jacobs-university.de>";
description
"This module contains a collection of generally useful derived
YANG data types for Internet addresses and related things.
Copyright (c) 2013 IETF Trust and the persons identified as
authors of the code. All rights reserved.
Redistribution and use in source and binary forms, with or
without modification, is permitted pursuant to, and subject
to the license terms contained in, the Simplified BSD License
set forth in Section 4.c of the IETF Trust's Legal Provisions
Relating to IETF Documents
(http://trustee.ietf.org/license-info).
This version of this YANG module is part of RFC 6991; see
the RFC itself for full legal notices.";
revision 2013-07-15 {
description
"This revision adds the following new data types:
- ip-address-no-zone
- ipv4-address-no-zone
- ipv6-address-no-zone";
reference
"RFC 6991: Common YANG Data Types";
}
revision 2010-09-24 {
description
"Initial revision.";
reference
"RFC 6021: Common YANG Data Types";
}
/*** collection of types related to protocol fields ***/
typedef ip-version {
type enumeration {
enum unknown {
value "0";
description
"An unknown or unspecified version of the Internet
protocol.";
}
enum ipv4 {
value "1";
description
"The IPv4 protocol as defined in RFC 791.";
}
enum ipv6 {
value "2";
description
"The IPv6 protocol as defined in RFC 2460.";
}
}
description
"This value represents the version of the IP protocol.
In the value set and its semantics, this type is equivalent
to the InetVersion textual convention of the SMIv2.";
reference
"RFC 791: Internet Protocol
RFC 2460: Internet Protocol, Version 6 (IPv6) Specification
RFC 4001: Textual Conventions for Internet Network Addresses";
}
typedef dscp {
type uint8 {
range "0..63";
}
description
"The dscp type represents a Differentiated Services Code Point
that may be used for marking packets in a traffic stream.
In the value set and its semantics, this type is equivalent
to the Dscp textual convention of the SMIv2.";
reference
"RFC 3289: Management Information Base for the Differentiated
Services Architecture
RFC 2474: Definition of the Differentiated Services Field
(DS Field) in the IPv4 and IPv6 Headers
RFC 2780: IANA Allocation Guidelines For Values In
the Internet Protocol and Related Headers";
}
typedef ipv6-flow-label {
type uint32 {
range "0..1048575";
}
description
"The ipv6-flow-label type represents the flow identifier or Flow
Label in an IPv6 packet header that may be used to
discriminate traffic flows.
In the value set and its semantics, this type is equivalent
to the IPv6FlowLabel textual convention of the SMIv2.";
reference
"RFC 3595: Textual Conventions for IPv6 Flow Label
RFC 2460: Internet Protocol, Version 6 (IPv6) Specification";
}
typedef port-number {
type uint16 {
range "0..65535";
}
description
"The port-number type represents a 16-bit port number of an
Internet transport-layer protocol such as UDP, TCP, DCCP, or
SCTP. Port numbers are assigned by IANA. A current list of
all assignments is available from <http://www.iana.org/>.
Note that the port number value zero is reserved by IANA. In
situations where the value zero does not make sense, it can
be excluded by subtyping the port-number type.
In the value set and its semantics, this type is equivalent
to the InetPortNumber textual convention of the SMIv2.";
reference
"RFC 768: User Datagram Protocol
RFC 793: Transmission Control Protocol
RFC 4960: Stream Control Transmission Protocol
RFC 4340: Datagram Congestion Control Protocol (DCCP)
RFC 4001: Textual Conventions for Internet Network Addresses";
}
/*** collection of types related to autonomous systems ***/
typedef as-number {
type uint32;
description
"The as-number type represents autonomous system numbers
which identify an Autonomous System (AS). An AS is a set
of routers under a single technical administration, using
an interior gateway protocol and common metrics to route
packets within the AS, and using an exterior gateway
protocol to route packets to other ASes. IANA maintains
the AS number space and has delegated large parts to the
regional registries.
Autonomous system numbers were originally limited to 16
bits. BGP extensions have enlarged the autonomous system
number space to 32 bits. This type therefore uses an uint32
base type without a range restriction in order to support
a larger autonomous system number space.
In the value set and its semantics, this type is equivalent
to the InetAutonomousSystemNumber textual convention of
the SMIv2.";
reference
"RFC 1930: Guidelines for creation, selection, and registration
of an Autonomous System (AS)
RFC 4271: A Border Gateway Protocol 4 (BGP-4)
RFC 4001: Textual Conventions for Internet Network Addresses
RFC 6793: BGP Support for Four-Octet Autonomous System (AS)
Number Space";
}
/*** collection of types related to IP addresses and hostnames ***/
typedef ip-address {
type union {
type inet:ipv4-address;
type inet:ipv6-address;
}
description
"The ip-address type represents an IP address and is IP
version neutral. The format of the textual representation
implies the IP version. This type supports scoped addresses
by allowing zone identifiers in the address format.";
reference
"RFC 4007: IPv6 Scoped Address Architecture";
}
typedef ipv4-address {
type string {
pattern
'(([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])\.){3}'
+ '([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])'
+ '(%[\p{N}\p{L}]+)?';
}
description
"The ipv4-address type represents an IPv4 address in
dotted-quad notation. The IPv4 address may include a zone
index, separated by a % sign.
The zone index is used to disambiguate identical address
values. For link-local addresses, the zone index will
typically be the interface index number or the name of an
interface. If the zone index is not present, the default
zone of the device will be used.
The canonical format for the zone index is the numerical
format";
}
typedef ipv6-address {
type string {
pattern '((:|[0-9a-fA-F]{0,4}):)([0-9a-fA-F]{0,4}:){0,5}'
+ '((([0-9a-fA-F]{0,4}:)?(:|[0-9a-fA-F]{0,4}))|'
+ '(((25[0-5]|2[0-4][0-9]|[01]?[0-9]?[0-9])\.){3}'
+ '(25[0-5]|2[0-4][0-9]|[01]?[0-9]?[0-9])))'
+ '(%[\p{N}\p{L}]+)?';
pattern '(([^:]+:){6}(([^:]+:[^:]+)|(.*\..*)))|'
+ '((([^:]+:)*[^:]+)?::(([^:]+:)*[^:]+)?)'
+ '(%.+)?';
}
description
"The ipv6-address type represents an IPv6 address in full,
mixed, shortened, and shortened-mixed notation. The IPv6
address may include a zone index, separated by a % sign.
The zone index is used to disambiguate identical address
values. For link-local addresses, the zone index will
typically be the interface index number or the name of an
interface. If the zone index is not present, the default
zone of the device will be used.
The canonical format of IPv6 addresses uses the textual
representation defined in Section 4 of RFC 5952. The
canonical format for the zone index is the numerical
format as described in Section 11.2 of RFC 4007.";
reference
"RFC 4291: IP Version 6 Addressing Architecture
RFC 4007: IPv6 Scoped Address Architecture
RFC 5952: A Recommendation for IPv6 Address Text
Representation";
}
typedef ip-address-no-zone {
type union {
type inet:ipv4-address-no-zone;
type inet:ipv6-address-no-zone;
}
description
"The ip-address-no-zone type represents an IP address and is
IP version neutral. The format of the textual representation
implies the IP version. This type does not support scoped
addresses since it does not allow zone identifiers in the
address format.";
reference
"RFC 4007: IPv6 Scoped Address Architecture";
}
typedef ipv4-address-no-zone {
type inet:ipv4-address {
pattern '[0-9\.]*';
}
description
"An IPv4 address without a zone index. This type, derived from
ipv4-address, may be used in situations where the zone is
known from the context and hence no zone index is needed.";
}
typedef ipv6-address-no-zone {
type inet:ipv6-address {
pattern '[0-9a-fA-F:\.]*';
}
description
"An IPv6 address without a zone index. This type, derived from
ipv6-address, may be used in situations where the zone is
known from the context and hence no zone index is needed.";
reference
"RFC 4291: IP Version 6 Addressing Architecture
RFC 4007: IPv6 Scoped Address Architecture
RFC 5952: A Recommendation for IPv6 Address Text
Representation";
}
typedef ip-prefix {
type union {
type inet:ipv4-prefix;
type inet:ipv6-prefix;
}
description
"The ip-prefix type represents an IP prefix and is IP
version neutral. The format of the textual representations
implies the IP version.";
}
typedef ipv4-prefix {
type string {
pattern
'(([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])\.){3}'
+ '([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])'
+ '/(([0-9])|([1-2][0-9])|(3[0-2]))';
}
description
"The ipv4-prefix type represents an IPv4 address prefix.
The prefix length is given by the number following the
slash character and must be less than or equal to 32.
A prefix length value of n corresponds to an IP address
mask that has n contiguous 1-bits from the most
significant bit (MSB) and all other bits set to 0.
The canonical format of an IPv4 prefix has all bits of
the IPv4 address set to zero that are not part of the
IPv4 prefix.";
}
typedef ipv6-prefix {
type string {
pattern '((:|[0-9a-fA-F]{0,4}):)([0-9a-fA-F]{0,4}:){0,5}'
+ '((([0-9a-fA-F]{0,4}:)?(:|[0-9a-fA-F]{0,4}))|'
+ '(((25[0-5]|2[0-4][0-9]|[01]?[0-9]?[0-9])\.){3}'
+ '(25[0-5]|2[0-4][0-9]|[01]?[0-9]?[0-9])))'
+ '(/(([0-9])|([0-9]{2})|(1[0-1][0-9])|(12[0-8])))';
pattern '(([^:]+:){6}(([^:]+:[^:]+)|(.*\..*)))|'
+ '((([^:]+:)*[^:]+)?::(([^:]+:)*[^:]+)?)'
+ '(/.+)';
}
description
"The ipv6-prefix type represents an IPv6 address prefix.
The prefix length is given by the number following the
slash character and must be less than or equal to 128.
A prefix length value of n corresponds to an IP address
mask that has n contiguous 1-bits from the most
significant bit (MSB) and all other bits set to 0.
The IPv6 address should have all bits that do not belong
to the prefix set to zero.
The canonical format of an IPv6 prefix has all bits of
the IPv6 address set to zero that are not part of the
IPv6 prefix. Furthermore, the IPv6 address is represented
as defined in Section 4 of RFC 5952.";
reference
"RFC 5952: A Recommendation for IPv6 Address Text
Representation";
}
/*** collection of domain name and URI types ***/
typedef domain-name {
type string {
pattern
'((([a-zA-Z0-9_]([a-zA-Z0-9\-_]){0,61})?[a-zA-Z0-9]\.)*'
+ '([a-zA-Z0-9_]([a-zA-Z0-9\-_]){0,61})?[a-zA-Z0-9]\.?)'
+ '|\.';
length "1..253";
}
description
"The domain-name type represents a DNS domain name. The
name SHOULD be fully qualified whenever possible.
Internet domain names are only loosely specified. Section
3.5 of RFC 1034 recommends a syntax (modified in Section
2.1 of RFC 1123). The pattern above is intended to allow
for current practice in domain name use, and some possible
future expansion. It is designed to hold various types of
domain names, including names used for A or AAAA records
(host names) and other records, such as SRV records. Note
that Internet host names have a stricter syntax (described
in RFC 952) than the DNS recommendations in RFCs 1034 and
1123, and that systems that want to store host names in
schema nodes using the domain-name type are recommended to
adhere to this stricter standard to ensure interoperability.
The encoding of DNS names in the DNS protocol is limited
to 255 characters. Since the encoding consists of labels
prefixed by a length bytes and there is a trailing NULL
byte, only 253 characters can appear in the textual dotted
notation.
The description clause of schema nodes using the domain-name
type MUST describe when and how these names are resolved to
IP addresses. Note that the resolution of a domain-name value
may require to query multiple DNS records (e.g., A for IPv4
and AAAA for IPv6). The order of the resolution process and
which DNS record takes precedence can either be defined
explicitly or may depend on the configuration of the
resolver.
Domain-name values use the US-ASCII encoding. Their canonical
format uses lowercase US-ASCII characters. Internationalized
domain names MUST be A-labels as per RFC 5890.";
reference
"RFC 952: DoD Internet Host Table Specification
RFC 1034: Domain Names - Concepts and Facilities
RFC 1123: Requirements for Internet Hosts -- Application
and Support
RFC 2782: A DNS RR for specifying the location of services
(DNS SRV)
RFC 5890: Internationalized Domain Names in Applications
(IDNA): Definitions and Document Framework";
}
typedef host {
type union {
type inet:ip-address;
type inet:domain-name;
}
description
"The host type represents either an IP address or a DNS
domain name.";
}
typedef uri {
type string;
description
"The uri type represents a Uniform Resource Identifier
(URI) as defined by STD 66.
Objects using the uri type MUST be in US-ASCII encoding,
and MUST be normalized as described by RFC 3986 Sections
6.2.1, 6.2.2.1, and 6.2.2.2. All unnecessary
percent-encoding is removed, and all case-insensitive
characters are set to lowercase except for hexadecimal
digits, which are normalized to uppercase as described in
Section 6.2.2.1.
The purpose of this normalization is to help provide
unique URIs. Note that this normalization is not
sufficient to provide uniqueness. Two URIs that are
textually distinct after this normalization may still be
equivalent.
Objects using the uri type may restrict the schemes that
they permit. For example, 'data:' and 'urn:' schemes
might not be appropriate.
A zero-length URI is not a valid URI. This can be used to
express 'URI absent' where required.
In the value set and its semantics, this type is equivalent
to the Uri SMIv2 textual convention defined in RFC 5017.";
reference
"RFC 3986: Uniform Resource Identifier (URI): Generic Syntax
RFC 3305: Report from the Joint W3C/IETF URI Planning Interest
Group: Uniform Resource Identifiers (URIs), URLs,
and Uniform Resource Names (URNs): Clarifications
and Recommendations
RFC 5017: MIB Textual Conventions for Uniform Resource
Identifiers (URIs)";
}
}

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@@ -0,0 +1,294 @@
module ietf-network-topology {
yang-version 1.1;
namespace "urn:ietf:params:xml:ns:yang:ietf-network-topology";
prefix nt;
import ietf-inet-types {
prefix inet;
reference
"RFC 6991: Common YANG Data Types";
}
import ietf-network {
prefix nw;
reference
"RFC 8345: A YANG Data Model for Network Topologies";
}
organization
"IETF I2RS (Interface to the Routing System) Working Group";
contact
"WG Web: <https://datatracker.ietf.org/wg/i2rs/>
WG List: <mailto:i2rs@ietf.org>
Editor: Alexander Clemm
<mailto:ludwig@clemm.org>
Editor: Jan Medved
<mailto:jmedved@cisco.com>
Editor: Robert Varga
<mailto:robert.varga@pantheon.tech>
Editor: Nitin Bahadur
<mailto:nitin_bahadur@yahoo.com>
Editor: Hariharan Ananthakrishnan
<mailto:hari@packetdesign.com>
Editor: Xufeng Liu
<mailto:xufeng.liu.ietf@gmail.com>";
description
"This module defines a common base model for a network topology,
augmenting the base network data model with links to connect
nodes, as well as termination points to terminate links
on nodes.
Copyright (c) 2018 IETF Trust and the persons identified as
authors of the code. All rights reserved.
Redistribution and use in source and binary forms, with or
without modification, is permitted pursuant to, and subject
to the license terms contained in, the Simplified BSD License
set forth in Section 4.c of the IETF Trust's Legal Provisions
Relating to IETF Documents
(https://trustee.ietf.org/license-info).
This version of this YANG module is part of RFC 8345;
see the RFC itself for full legal notices.";
revision 2018-02-26 {
description
"Initial revision.";
reference
"RFC 8345: A YANG Data Model for Network Topologies";
}
typedef link-id {
type inet:uri;
description
"An identifier for a link in a topology. The precise
structure of the link-id will be up to the implementation.
The identifier SHOULD be chosen such that the same link in a
real network topology will always be identified through the
same identifier, even if the data model is instantiated in
separate datastores. An implementation MAY choose to capture
semantics in the identifier -- for example, to indicate the
type of link and/or the type of topology of which the link is
a part.";
}
typedef tp-id {
type inet:uri;
description
"An identifier for termination points on a node. The precise
structure of the tp-id will be up to the implementation.
The identifier SHOULD be chosen such that the same termination
point in a real network topology will always be identified
through the same identifier, even if the data model is
instantiated in separate datastores. An implementation MAY
choose to capture semantics in the identifier -- for example,
to indicate the type of termination point and/or the type of
node that contains the termination point.";
}
grouping link-ref {
description
"This grouping can be used to reference a link in a specific
network. Although it is not used in this module, it is
defined here for the convenience of augmenting modules.";
leaf link-ref {
type leafref {
path "/nw:networks/nw:network[nw:network-id=current()/../"+
"network-ref]/nt:link/nt:link-id";
require-instance false;
}
description
"A type for an absolute reference to a link instance.
(This type should not be used for relative references.
In such a case, a relative path should be used instead.)";
}
uses nw:network-ref;
}
grouping tp-ref {
description
"This grouping can be used to reference a termination point
in a specific node. Although it is not used in this module,
it is defined here for the convenience of augmenting
modules.";
leaf tp-ref {
type leafref {
path "/nw:networks/nw:network[nw:network-id=current()/../"+
"network-ref]/nw:node[nw:node-id=current()/../"+
"node-ref]/nt:termination-point/nt:tp-id";
require-instance false;
}
description
"A type for an absolute reference to a termination point.
(This type should not be used for relative references.
In such a case, a relative path should be used instead.)";
}
uses nw:node-ref;
}
augment "/nw:networks/nw:network" {
description
"Add links to the network data model.";
list link {
key "link-id";
description
"A network link connects a local (source) node and
a remote (destination) node via a set of the respective
node's termination points. It is possible to have several
links between the same source and destination nodes.
Likewise, a link could potentially be re-homed between
termination points. Therefore, in order to ensure that we
would always know to distinguish between links, every link
is identified by a dedicated link identifier. Note that a
link models a point-to-point link, not a multipoint link.";
leaf link-id {
type link-id;
description
"The identifier of a link in the topology.
A link is specific to a topology to which it belongs.";
}
container source {
description
"This container holds the logical source of a particular
link.";
leaf source-node {
type leafref {
path "../../../nw:node/nw:node-id";
require-instance false;
}
description
"Source node identifier. Must be in the same topology.";
}
leaf source-tp {
type leafref {
path "../../../nw:node[nw:node-id=current()/../"+
"source-node]/termination-point/tp-id";
require-instance false;
}
description
"This termination point is located within the source node
and terminates the link.";
}
}
container destination {
description
"This container holds the logical destination of a
particular link.";
leaf dest-node {
type leafref {
path "../../../nw:node/nw:node-id";
require-instance false;
}
description
"Destination node identifier. Must be in the same
network.";
}
leaf dest-tp {
type leafref {
path "../../../nw:node[nw:node-id=current()/../"+
"dest-node]/termination-point/tp-id";
require-instance false;
}
description
"This termination point is located within the
destination node and terminates the link.";
}
}
list supporting-link {
key "network-ref link-ref";
description
"Identifies the link or links on which this link depends.";
leaf network-ref {
type leafref {
path "../../../nw:supporting-network/nw:network-ref";
require-instance false;
}
description
"This leaf identifies in which underlay topology
the supporting link is present.";
}
leaf link-ref {
type leafref {
path "/nw:networks/nw:network[nw:network-id=current()/"+
"../network-ref]/link/link-id";
require-instance false;
}
description
"This leaf identifies a link that is a part
of this link's underlay. Reference loops in which
a link identifies itself as its underlay, either
directly or transitively, are not allowed.";
}
}
}
}
augment "/nw:networks/nw:network/nw:node" {
description
"Augments termination points that terminate links.
Termination points can ultimately be mapped to interfaces.";
list termination-point {
key "tp-id";
description
"A termination point can terminate a link.
Depending on the type of topology, a termination point
could, for example, refer to a port or an interface.";
leaf tp-id {
type tp-id;
description
"Termination point identifier.";
}
list supporting-termination-point {
key "network-ref node-ref tp-ref";
description
"This list identifies any termination points on which a
given termination point depends or onto which it maps.
Those termination points will themselves be contained
in a supporting node. This dependency information can be
inferred from the dependencies between links. Therefore,
this item is not separately configurable. Hence, no
corresponding constraint needs to be articulated.
The corresponding information is simply provided by the
implementing system.";
leaf network-ref {
type leafref {
path "../../../nw:supporting-node/nw:network-ref";
require-instance false;
}
description
"This leaf identifies in which topology the
supporting termination point is present.";
}
leaf node-ref {
type leafref {
path "../../../nw:supporting-node/nw:node-ref";
require-instance false;
}
description
"This leaf identifies in which node the supporting
termination point is present.";
}
leaf tp-ref {
type leafref {
path "/nw:networks/nw:network[nw:network-id=current()/"+
"../network-ref]/nw:node[nw:node-id=current()/../"+
"node-ref]/termination-point/tp-id";
require-instance false;
}
description
"Reference to the underlay node (the underlay node must
be in a different topology).";
}
}
}
}
}

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@@ -0,0 +1,192 @@
module ietf-network {
yang-version 1.1;
namespace "urn:ietf:params:xml:ns:yang:ietf-network";
prefix nw;
import ietf-inet-types {
prefix inet;
reference
"RFC 6991: Common YANG Data Types";
}
organization
"IETF I2RS (Interface to the Routing System) Working Group";
contact
"WG Web: <https://datatracker.ietf.org/wg/i2rs/>
WG List: <mailto:i2rs@ietf.org>
Editor: Alexander Clemm
<mailto:ludwig@clemm.org>
Editor: Jan Medved
<mailto:jmedved@cisco.com>
Editor: Robert Varga
<mailto:robert.varga@pantheon.tech>
Editor: Nitin Bahadur
<mailto:nitin_bahadur@yahoo.com>
Editor: Hariharan Ananthakrishnan
<mailto:hari@packetdesign.com>
Editor: Xufeng Liu
<mailto:xufeng.liu.ietf@gmail.com>";
description
"This module defines a common base data model for a collection
of nodes in a network. Node definitions are further used
in network topologies and inventories.
Copyright (c) 2018 IETF Trust and the persons identified as
authors of the code. All rights reserved.
Redistribution and use in source and binary forms, with or
without modification, is permitted pursuant to, and subject
to the license terms contained in, the Simplified BSD License
set forth in Section 4.c of the IETF Trust's Legal Provisions
Relating to IETF Documents
(https://trustee.ietf.org/license-info).
This version of this YANG module is part of RFC 8345;
see the RFC itself for full legal notices.";
revision 2018-02-26 {
description
"Initial revision.";
reference
"RFC 8345: A YANG Data Model for Network Topologies";
}
typedef node-id {
type inet:uri;
description
"Identifier for a node. The precise structure of the node-id
will be up to the implementation. For example, some
implementations MAY pick a URI that includes the network-id
as part of the path. The identifier SHOULD be chosen
such that the same node in a real network topology will
always be identified through the same identifier, even if
the data model is instantiated in separate datastores. An
implementation MAY choose to capture semantics in the
identifier -- for example, to indicate the type of node.";
}
typedef network-id {
type inet:uri;
description
"Identifier for a network. The precise structure of the
network-id will be up to the implementation. The identifier
SHOULD be chosen such that the same network will always be
identified through the same identifier, even if the data model
is instantiated in separate datastores. An implementation MAY
choose to capture semantics in the identifier -- for example,
to indicate the type of network.";
}
grouping network-ref {
description
"Contains the information necessary to reference a network --
for example, an underlay network.";
leaf network-ref {
type leafref {
path "/nw:networks/nw:network/nw:network-id";
require-instance false;
}
description
"Used to reference a network -- for example, an underlay
network.";
}
}
grouping node-ref {
description
"Contains the information necessary to reference a node.";
leaf node-ref {
type leafref {
path "/nw:networks/nw:network[nw:network-id=current()/../"+
"network-ref]/nw:node/nw:node-id";
require-instance false;
}
description
"Used to reference a node.
Nodes are identified relative to the network that
contains them.";
}
uses network-ref;
}
container networks {
description
"Serves as a top-level container for a list of networks.";
list network {
key "network-id";
description
"Describes a network.
A network typically contains an inventory of nodes,
topological information (augmented through the
network-topology data model), and layering information.";
leaf network-id {
type network-id;
description
"Identifies a network.";
}
container network-types {
description
"Serves as an augmentation target.
The network type is indicated through corresponding
presence containers augmented into this container.";
}
list supporting-network {
key "network-ref";
description
"An underlay network, used to represent layered network
topologies.";
leaf network-ref {
type leafref {
path "/nw:networks/nw:network/nw:network-id";
require-instance false;
}
description
"References the underlay network.";
}
}
list node {
key "node-id";
description
"The inventory of nodes of this network.";
leaf node-id {
type node-id;
description
"Uniquely identifies a node within the containing
network.";
}
list supporting-node {
key "network-ref node-ref";
description
"Represents another node that is in an underlay network
and that supports this node. Used to represent layering
structure.";
leaf network-ref {
type leafref {
path "../../../nw:supporting-network/nw:network-ref";
require-instance false;
}
description
"References the underlay network of which the
underlay node is a part.";
}
leaf node-ref {
type leafref {
path "/nw:networks/nw:network/nw:node/nw:node-id";
require-instance false;
}
description
"References the underlay node itself.";
}
}
}
}
}
}

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@@ -0,0 +1,474 @@
module ietf-yang-types {
namespace "urn:ietf:params:xml:ns:yang:ietf-yang-types";
prefix "yang";
organization
"IETF NETMOD (NETCONF Data Modeling Language) Working Group";
contact
"WG Web: <http://tools.ietf.org/wg/netmod/>
WG List: <mailto:netmod@ietf.org>
WG Chair: David Kessens
<mailto:david.kessens@nsn.com>
WG Chair: Juergen Schoenwaelder
<mailto:j.schoenwaelder@jacobs-university.de>
Editor: Juergen Schoenwaelder
<mailto:j.schoenwaelder@jacobs-university.de>";
description
"This module contains a collection of generally useful derived
YANG data types.
Copyright (c) 2013 IETF Trust and the persons identified as
authors of the code. All rights reserved.
Redistribution and use in source and binary forms, with or
without modification, is permitted pursuant to, and subject
to the license terms contained in, the Simplified BSD License
set forth in Section 4.c of the IETF Trust's Legal Provisions
Relating to IETF Documents
(http://trustee.ietf.org/license-info).
This version of this YANG module is part of RFC 6991; see
the RFC itself for full legal notices.";
revision 2013-07-15 {
description
"This revision adds the following new data types:
- yang-identifier
- hex-string
- uuid
- dotted-quad";
reference
"RFC 6991: Common YANG Data Types";
}
revision 2010-09-24 {
description
"Initial revision.";
reference
"RFC 6021: Common YANG Data Types";
}
/*** collection of counter and gauge types ***/
typedef counter32 {
type uint32;
description
"The counter32 type represents a non-negative integer
that monotonically increases until it reaches a
maximum value of 2^32-1 (4294967295 decimal), when it
wraps around and starts increasing again from zero.
Counters have no defined 'initial' value, and thus, a
single value of a counter has (in general) no information
content. Discontinuities in the monotonically increasing
value normally occur at re-initialization of the
management system, and at other times as specified in the
description of a schema node using this type. If such
other times can occur, for example, the creation of
a schema node of type counter32 at times other than
re-initialization, then a corresponding schema node
should be defined, with an appropriate type, to indicate
the last discontinuity.
The counter32 type should not be used for configuration
schema nodes. A default statement SHOULD NOT be used in
combination with the type counter32.
In the value set and its semantics, this type is equivalent
to the Counter32 type of the SMIv2.";
reference
"RFC 2578: Structure of Management Information Version 2
(SMIv2)";
}
typedef zero-based-counter32 {
type yang:counter32;
default "0";
description
"The zero-based-counter32 type represents a counter32
that has the defined 'initial' value zero.
A schema node of this type will be set to zero (0) on creation
and will thereafter increase monotonically until it reaches
a maximum value of 2^32-1 (4294967295 decimal), when it
wraps around and starts increasing again from zero.
Provided that an application discovers a new schema node
of this type within the minimum time to wrap, it can use the
'initial' value as a delta. It is important for a management
station to be aware of this minimum time and the actual time
between polls, and to discard data if the actual time is too
long or there is no defined minimum time.
In the value set and its semantics, this type is equivalent
to the ZeroBasedCounter32 textual convention of the SMIv2.";
reference
"RFC 4502: Remote Network Monitoring Management Information
Base Version 2";
}
typedef counter64 {
type uint64;
description
"The counter64 type represents a non-negative integer
that monotonically increases until it reaches a
maximum value of 2^64-1 (18446744073709551615 decimal),
when it wraps around and starts increasing again from zero.
Counters have no defined 'initial' value, and thus, a
single value of a counter has (in general) no information
content. Discontinuities in the monotonically increasing
value normally occur at re-initialization of the
management system, and at other times as specified in the
description of a schema node using this type. If such
other times can occur, for example, the creation of
a schema node of type counter64 at times other than
re-initialization, then a corresponding schema node
should be defined, with an appropriate type, to indicate
the last discontinuity.
The counter64 type should not be used for configuration
schema nodes. A default statement SHOULD NOT be used in
combination with the type counter64.
In the value set and its semantics, this type is equivalent
to the Counter64 type of the SMIv2.";
reference
"RFC 2578: Structure of Management Information Version 2
(SMIv2)";
}
typedef zero-based-counter64 {
type yang:counter64;
default "0";
description
"The zero-based-counter64 type represents a counter64 that
has the defined 'initial' value zero.
A schema node of this type will be set to zero (0) on creation
and will thereafter increase monotonically until it reaches
a maximum value of 2^64-1 (18446744073709551615 decimal),
when it wraps around and starts increasing again from zero.
Provided that an application discovers a new schema node
of this type within the minimum time to wrap, it can use the
'initial' value as a delta. It is important for a management
station to be aware of this minimum time and the actual time
between polls, and to discard data if the actual time is too
long or there is no defined minimum time.
In the value set and its semantics, this type is equivalent
to the ZeroBasedCounter64 textual convention of the SMIv2.";
reference
"RFC 2856: Textual Conventions for Additional High Capacity
Data Types";
}
typedef gauge32 {
type uint32;
description
"The gauge32 type represents a non-negative integer, which
may increase or decrease, but shall never exceed a maximum
value, nor fall below a minimum value. The maximum value
cannot be greater than 2^32-1 (4294967295 decimal), and
the minimum value cannot be smaller than 0. The value of
a gauge32 has its maximum value whenever the information
being modeled is greater than or equal to its maximum
value, and has its minimum value whenever the information
being modeled is smaller than or equal to its minimum value.
If the information being modeled subsequently decreases
below (increases above) the maximum (minimum) value, the
gauge32 also decreases (increases).
In the value set and its semantics, this type is equivalent
to the Gauge32 type of the SMIv2.";
reference
"RFC 2578: Structure of Management Information Version 2
(SMIv2)";
}
typedef gauge64 {
type uint64;
description
"The gauge64 type represents a non-negative integer, which
may increase or decrease, but shall never exceed a maximum
value, nor fall below a minimum value. The maximum value
cannot be greater than 2^64-1 (18446744073709551615), and
the minimum value cannot be smaller than 0. The value of
a gauge64 has its maximum value whenever the information
being modeled is greater than or equal to its maximum
value, and has its minimum value whenever the information
being modeled is smaller than or equal to its minimum value.
If the information being modeled subsequently decreases
below (increases above) the maximum (minimum) value, the
gauge64 also decreases (increases).
In the value set and its semantics, this type is equivalent
to the CounterBasedGauge64 SMIv2 textual convention defined
in RFC 2856";
reference
"RFC 2856: Textual Conventions for Additional High Capacity
Data Types";
}
/*** collection of identifier-related types ***/
typedef object-identifier {
type string {
pattern '(([0-1](\.[1-3]?[0-9]))|(2\.(0|([1-9]\d*))))'
+ '(\.(0|([1-9]\d*)))*';
}
description
"The object-identifier type represents administratively
assigned names in a registration-hierarchical-name tree.
Values of this type are denoted as a sequence of numerical
non-negative sub-identifier values. Each sub-identifier
value MUST NOT exceed 2^32-1 (4294967295). Sub-identifiers
are separated by single dots and without any intermediate
whitespace.
The ASN.1 standard restricts the value space of the first
sub-identifier to 0, 1, or 2. Furthermore, the value space
of the second sub-identifier is restricted to the range
0 to 39 if the first sub-identifier is 0 or 1. Finally,
the ASN.1 standard requires that an object identifier
has always at least two sub-identifiers. The pattern
captures these restrictions.
Although the number of sub-identifiers is not limited,
module designers should realize that there may be
implementations that stick with the SMIv2 limit of 128
sub-identifiers.
This type is a superset of the SMIv2 OBJECT IDENTIFIER type
since it is not restricted to 128 sub-identifiers. Hence,
this type SHOULD NOT be used to represent the SMIv2 OBJECT
IDENTIFIER type; the object-identifier-128 type SHOULD be
used instead.";
reference
"ISO9834-1: Information technology -- Open Systems
Interconnection -- Procedures for the operation of OSI
Registration Authorities: General procedures and top
arcs of the ASN.1 Object Identifier tree";
}
typedef object-identifier-128 {
type object-identifier {
pattern '\d*(\.\d*){1,127}';
}
description
"This type represents object-identifiers restricted to 128
sub-identifiers.
In the value set and its semantics, this type is equivalent
to the OBJECT IDENTIFIER type of the SMIv2.";
reference
"RFC 2578: Structure of Management Information Version 2
(SMIv2)";
}
typedef yang-identifier {
type string {
length "1..max";
pattern '[a-zA-Z_][a-zA-Z0-9\-_.]*';
pattern '.|..|[^xX].*|.[^mM].*|..[^lL].*';
}
description
"A YANG identifier string as defined by the 'identifier'
rule in Section 12 of RFC 6020. An identifier must
start with an alphabetic character or an underscore
followed by an arbitrary sequence of alphabetic or
numeric characters, underscores, hyphens, or dots.
A YANG identifier MUST NOT start with any possible
combination of the lowercase or uppercase character
sequence 'xml'.";
reference
"RFC 6020: YANG - A Data Modeling Language for the Network
Configuration Protocol (NETCONF)";
}
/*** collection of types related to date and time***/
typedef date-and-time {
type string {
pattern '\d{4}-\d{2}-\d{2}T\d{2}:\d{2}:\d{2}(\.\d+)?'
+ '(Z|[\+\-]\d{2}:\d{2})';
}
description
"The date-and-time type is a profile of the ISO 8601
standard for representation of dates and times using the
Gregorian calendar. The profile is defined by the
date-time production in Section 5.6 of RFC 3339.
The date-and-time type is compatible with the dateTime XML
schema type with the following notable exceptions:
(a) The date-and-time type does not allow negative years.
(b) The date-and-time time-offset -00:00 indicates an unknown
time zone (see RFC 3339) while -00:00 and +00:00 and Z
all represent the same time zone in dateTime.
(c) The canonical format (see below) of data-and-time values
differs from the canonical format used by the dateTime XML
schema type, which requires all times to be in UTC using
the time-offset 'Z'.
This type is not equivalent to the DateAndTime textual
convention of the SMIv2 since RFC 3339 uses a different
separator between full-date and full-time and provides
higher resolution of time-secfrac.
The canonical format for date-and-time values with a known time
zone uses a numeric time zone offset that is calculated using
the device's configured known offset to UTC time. A change of
the device's offset to UTC time will cause date-and-time values
to change accordingly. Such changes might happen periodically
in case a server follows automatically daylight saving time
(DST) time zone offset changes. The canonical format for
date-and-time values with an unknown time zone (usually
referring to the notion of local time) uses the time-offset
-00:00.";
reference
"RFC 3339: Date and Time on the Internet: Timestamps
RFC 2579: Textual Conventions for SMIv2
XSD-TYPES: XML Schema Part 2: Datatypes Second Edition";
}
typedef timeticks {
type uint32;
description
"The timeticks type represents a non-negative integer that
represents the time, modulo 2^32 (4294967296 decimal), in
hundredths of a second between two epochs. When a schema
node is defined that uses this type, the description of
the schema node identifies both of the reference epochs.
In the value set and its semantics, this type is equivalent
to the TimeTicks type of the SMIv2.";
reference
"RFC 2578: Structure of Management Information Version 2
(SMIv2)";
}
typedef timestamp {
type yang:timeticks;
description
"The timestamp type represents the value of an associated
timeticks schema node at which a specific occurrence
happened. The specific occurrence must be defined in the
description of any schema node defined using this type. When
the specific occurrence occurred prior to the last time the
associated timeticks attribute was zero, then the timestamp
value is zero. Note that this requires all timestamp values
to be reset to zero when the value of the associated timeticks
attribute reaches 497+ days and wraps around to zero.
The associated timeticks schema node must be specified
in the description of any schema node using this type.
In the value set and its semantics, this type is equivalent
to the TimeStamp textual convention of the SMIv2.";
reference
"RFC 2579: Textual Conventions for SMIv2";
}
/*** collection of generic address types ***/
typedef phys-address {
type string {
pattern '([0-9a-fA-F]{2}(:[0-9a-fA-F]{2})*)?';
}
description
"Represents media- or physical-level addresses represented
as a sequence octets, each octet represented by two hexadecimal
numbers. Octets are separated by colons. The canonical
representation uses lowercase characters.
In the value set and its semantics, this type is equivalent
to the PhysAddress textual convention of the SMIv2.";
reference
"RFC 2579: Textual Conventions for SMIv2";
}
typedef mac-address {
type string {
pattern '[0-9a-fA-F]{2}(:[0-9a-fA-F]{2}){5}';
}
description
"The mac-address type represents an IEEE 802 MAC address.
The canonical representation uses lowercase characters.
In the value set and its semantics, this type is equivalent
to the MacAddress textual convention of the SMIv2.";
reference
"IEEE 802: IEEE Standard for Local and Metropolitan Area
Networks: Overview and Architecture
RFC 2579: Textual Conventions for SMIv2";
}
/*** collection of XML-specific types ***/
typedef xpath1.0 {
type string;
description
"This type represents an XPATH 1.0 expression.
When a schema node is defined that uses this type, the
description of the schema node MUST specify the XPath
context in which the XPath expression is evaluated.";
reference
"XPATH: XML Path Language (XPath) Version 1.0";
}
/*** collection of string types ***/
typedef hex-string {
type string {
pattern '([0-9a-fA-F]{2}(:[0-9a-fA-F]{2})*)?';
}
description
"A hexadecimal string with octets represented as hex digits
separated by colons. The canonical representation uses
lowercase characters.";
}
typedef uuid {
type string {
pattern '[0-9a-fA-F]{8}-[0-9a-fA-F]{4}-[0-9a-fA-F]{4}-'
+ '[0-9a-fA-F]{4}-[0-9a-fA-F]{12}';
}
description
"A Universally Unique IDentifier in the string representation
defined in RFC 4122. The canonical representation uses
lowercase characters.
The following is an example of a UUID in string representation:
f81d4fae-7dec-11d0-a765-00a0c91e6bf6
";
reference
"RFC 4122: A Universally Unique IDentifier (UUID) URN
Namespace";
}
typedef dotted-quad {
type string {
pattern
'(([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])\.){3}'
+ '([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])';
}
description
"An unsigned 32-bit number expressed in the dotted-quad
notation, i.e., four octets written as decimal numbers
and separated with the '.' (full stop) character.";
}
}

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# SPDX-License-Identifier: BSD-3-Clause
#
# Copyright (C) 2020 Telecom Infra Project and GNPy contributors
# see LICENSE.md for a list of contributors
#
"""
Reading and writing YANG data
=============================
Module :py:mod:`gnpy.yang.io` enables loading of data that are formatted according to the YANG+JSON rules.
Use :func:`load_from_yang` to parse and validate the data, and :func:`save_equipment` to store the equipment library.
"""
from networkx import DiGraph
from typing import Any, Dict, List, Tuple, Union
import numpy as np
import yangson as _y
import copy
from gnpy.core import elements, exceptions
import gnpy.tools.json_io as _ji
import gnpy.core.science_utils as _sci
import gnpy.yang
import gnpy.yang.conversion as _conv
def create_datamodel() -> _y.DataModel:
'''Create a new yangson.DataModel'''
return _y.DataModel.from_file(gnpy.yang._yang_library(), (gnpy.yang.external_path(), gnpy.yang.model_path()))
def _extract_common_fiber(fiber: _y.instance.ArrayEntry) -> Dict:
return {
'dispersion': float(fiber['chromatic-dispersion'].value) * _conv.FIBER_DISPERSION,
'dispersion_slope': float(fiber['chromatic-dispersion-slope'].value) * _conv.FIBER_DISPERSION_SLOPE,
'gamma': float(fiber['gamma'].value) * _conv.FIBER_GAMMA,
'pmd_coef': float(fiber['pmd-coefficient'].value) * _conv.FIBER_PMD_COEF,
}
def _transform_fiber(fiber: _y.instance.ArrayEntry) -> _ji.Fiber:
'''Turn yangson's ``tip-photonic-equipment:fiber`` into a Fiber equipment type representation'''
return _ji.Fiber(
type_variety=fiber['type'].value,
**_extract_common_fiber(fiber),
)
def _transform_raman_fiber(fiber: _y.instance.ArrayEntry) -> _ji.RamanFiber:
'''Turn yangson's ``tip-photonic-equipment:fiber`` with a Raman section into a RamanFiber equipment type representation'''
return _ji.RamanFiber(
type_variety=fiber['type'].value,
raman_efficiency={ # FIXME: check the order here, the existing code is picky, and YANG doesn't guarantee any particular order here
'cr': [x['cr'].value for x in fiber['raman-efficiency']],
'frequency_offset': [float(x['delta-frequency'].value) for x in fiber['raman-efficiency']],
},
**_extract_common_fiber(fiber),
)
def _extract_per_spectrum(key: str, yang) -> List[float]:
'''Extract per-frequency offsets from a freq->offset YANG list and store them as a list interpolated at a 50 GHz grid'''
if key not in yang:
return (0, )
data = [(int(x['frequency'].value), float(x[key].value)) for x in yang[key]]
data.sort(key=lambda tup: tup[0])
# FIXME: move this to gnpy.core.elements
# FIXME: we're also probably doing the interpolation wrong in elements.py (C-band grid vs. actual carrier frequencies)
keys = [x[0] for x in data]
values = [x[1] for x in data]
frequencies = [int(191.3e12 + channel * 50e9) for channel in range(96)]
data = [x for x in np.interp(frequencies, keys, values)] # force back Python's native list to silence a FutureWarning: elementwise comparison failed
return data
def _transform_edfa(edfa: _y.instance.ArrayEntry) -> _ji.Amp:
'''Turn yangson's ``tip-photonic-equipment:amplifier`` into an EDFA equipment type representation'''
POLYNOMIAL_NF = 'polynomial-NF'
OPENROADM_ILA = 'OpenROADM-ILA'
OPENROADM_PREAMP = 'OpenROADM-preamp'
OPENROADM_BOOSTER = 'OpenROADM-booster'
MIN_MAX_NF = 'min-max-NF'
COMPOSITE = 'composite'
RAMAN_APPROX = 'raman-approximation'
GAIN_RIPPLE = 'gain-ripple'
NF_RIPPLE = 'nf-ripple'
DYNAMIC_GAIN_TILT = 'dynamic-gain-tilt'
name = edfa['type'].value
type_def = None
nf_model = None
dual_stage_model = None
f_min = None
f_max = None
gain_flatmax = None
p_max = None
nf_fit_coeff = None
nf_ripple = None
dgt = None
gain_ripple = None
if COMPOSITE in edfa:
# this model will be postprocessed in _fixup_dual_stage, so just save some placeholders here
model = edfa[COMPOSITE]
type_def = 'dual_stage'
dual_stage_model = _ji.Model_dual_stage(model['preamp'].value, model['booster'].value)
else:
if POLYNOMIAL_NF in edfa:
model = edfa[POLYNOMIAL_NF]
nf_fit_coeff = (float(model['a'].value), float(model['b'].value), float(model['c'].value), float(model['d'].value))
type_def = 'advanced_model'
elif OPENROADM_ILA in edfa:
model = edfa[OPENROADM_ILA]
nf_model = _ji.Model_openroadm_ila(nf_coef=(float(model['a'].value), float(model['b'].value),
float(model['c'].value), float(model['d'].value)))
type_def = 'openroadm'
elif OPENROADM_PREAMP in edfa:
type_def = 'openroadm_preamp'
elif OPENROADM_BOOSTER in edfa:
type_def = 'openroadm_booster'
elif MIN_MAX_NF in edfa:
model = edfa[MIN_MAX_NF]
nf_min = float(model['nf-min'].value)
nf_max = float(model['nf-max'].value)
nf1, nf2, delta_p = _sci.estimate_nf_model(name, float(edfa['gain-min'].value), float(edfa['gain-flatmax'].value),
nf_min, nf_max)
nf_model = _ji.Model_vg(nf1, nf2, delta_p, nf_min, nf_max)
type_def = 'variable_gain'
elif RAMAN_APPROX in edfa:
model = edfa[RAMAN_APPROX]
nf_fit_coeff = (0., 0., 0., float(model['nf'].value))
type_def = 'advanced_model'
else:
raise NotImplementedError(f'Internal error: EDFA model {name}: unrecognized amplifier NF model for EDFA. '
'Error in the YANG validation code.')
gain_flatmax = float(edfa['gain-flatmax'].value)
f_min = float(edfa['frequency-min'].value) * _conv.THZ
f_max = float(edfa['frequency-max'].value) * _conv.THZ
p_max = float(edfa['max-power-out'].value)
gain_ripple = _extract_per_spectrum(GAIN_RIPPLE, edfa)
dgt = _extract_per_spectrum(DYNAMIC_GAIN_TILT, edfa)
nf_ripple = _extract_per_spectrum(NF_RIPPLE, edfa)
return _ji.Amp(
type_variety=name,
type_def=type_def,
f_min=f_min,
f_max=f_max,
gain_min=float(edfa['gain-min'].value),
gain_flatmax=gain_flatmax,
p_max=p_max,
nf_fit_coeff=nf_fit_coeff,
nf_ripple=nf_ripple,
dgt=dgt,
gain_ripple=gain_ripple,
out_voa_auto=None, # FIXME
allowed_for_design=True, # FIXME
raman=False,
nf_model=nf_model,
dual_stage_model=dual_stage_model,
)
def _fixup_dual_stage(amps: Dict[str, _ji.Amp]) -> Dict[str, _ji.Amp]:
'''Replace preamp/booster string model IDs with references to actual objects'''
for name, amp in amps.items():
if amp.dual_stage_model is None:
continue
preamp = amps[amp.dual_stage_model.preamp_variety]
booster = amps[amp.dual_stage_model.booster_variety]
this_amp = amps[name]
# FIXME: the old JSON code copies each and every attr, do we need that here?
for attr in preamp.__dict__.keys():
setattr(this_amp, f'preamp_{attr}', getattr(preamp, attr))
for attr in booster.__dict__.keys():
setattr(this_amp, f'booster_{attr}', getattr(booster, attr))
return amps
def _transform_roadm(roadm: _y.instance.ArrayEntry) -> _ji.Roadm:
'''Turn yangson's ``tip-photonic-equipment:roadm`` into a ROADM equipment type representation'''
return _ji.Roadm(
target_pch_out_db=float(roadm['target-channel-out-power'].value),
add_drop_osnr=float(roadm['add-drop-osnr'].value),
pmd=float(roadm['polarization-mode-dispersion'].value),
restrictions={
'preamp_variety_list': [amp.value for amp in roadm['compatible-preamp']] if 'compatible-preamp' in roadm else [],
'booster_variety_list': [amp.value for amp in roadm['compatible-booster']] if 'compatible-booster' in roadm else [],
},
)
def _transform_transceiver_mode(mode: _y.instance.ArrayEntry) -> Dict[str, object]:
return {
'format': mode['name'].value,
'baud_rate': float(mode['baud-rate'].value) * _conv.GIGA,
'OSNR': float(mode['required-osnr'].value),
'bit_rate': float(mode['bit-rate'].value) * _conv.GIGA,
'roll_off': float(mode['tx-roll-off'].value),
'tx_osnr': float(mode['in-band-tx-osnr'].value),
'min_spacing': float(mode['grid-spacing'].value) * _conv.GIGA,
'cost': float(mode['tip-photonic-simulation:cost'].value),
}
def _transform_transceiver(txp: _y.instance.ArrayEntry) -> _ji.Transceiver:
'''Turn yangson's ``tip-photonic-equipment:transceiver`` into a Transceiver equipment type representation'''
return _ji.Transceiver(
type_variety=txp['type'].value,
frequency={
"min": float(txp['frequency-min'].value) * _conv.THZ,
"max": float(txp['frequency-max'].value) * _conv.THZ,
},
mode=[_transform_transceiver_mode(mode) for mode in txp['mode']],
)
def _optional_float(yangish, key, default=None):
'''Retrieve a decimal64 value as a float, or None if not present'''
return float(yangish[key].value) if key in yangish else default
def _load_equipment(data: _y.instance.RootNode, sim_data: _y.instance.InstanceNode) -> Dict[str, Dict[str, Any]]:
'''Load the equipment library from YANG data'''
equipment = {
'Edfa': _fixup_dual_stage({x['type'].value: _transform_edfa(x) for x in data['tip-photonic-equipment:amplifier']}),
'Fiber': {x['type'].value: _transform_fiber(x) for x in data['tip-photonic-equipment:fiber']},
'RamanFiber': {x['type'].value: _transform_raman_fiber(x) for x in data['tip-photonic-equipment:fiber'] if 'raman-efficiency' in x},
'Span': {'default': _ji.Span(
power_mode='power-mode' in sim_data['autodesign'],
delta_power_range_db=[
float(sim_data['autodesign']['power-adjustment-for-span-loss']['maximal-reduction'].value),
float(sim_data['autodesign']['power-adjustment-for-span-loss']['maximal-boost'].value),
float(sim_data['autodesign']['power-adjustment-for-span-loss']['excursion-step-size'].value),
],
max_fiber_lineic_loss_for_raman=0, # FIXME: can we deprecate this?
target_extended_gain=2.5, # FIXME
max_length=150, # FIXME
length_units='km', # FIXME
max_loss=None, # FIXME
padding=0, # FIXME
EOL=0, # FIXME
con_in=0,
con_out=0,
)
},
'Roadm': {x['type'].value: _transform_roadm(x) for x in data['tip-photonic-equipment:roadm']},
'SI': {
'default': _ji.SI(
f_min=float(sim_data['grid']['frequency-min'].value) * _conv.THZ,
f_max=float(sim_data['grid']['frequency-max'].value) * _conv.THZ,
baud_rate=float(sim_data['grid']['baud-rate'].value) * _conv.GIGA,
spacing=float(sim_data['grid']['spacing'].value) * _conv.GIGA,
power_dbm=float(sim_data['grid']['power'].value),
power_range_db=(
[ # start, stop, step
float(sim_data['autodesign']['power-mode']['power-sweep']['start'].value),
float(sim_data['autodesign']['power-mode']['power-sweep']['stop'].value),
float(sim_data['autodesign']['power-mode']['power-sweep']['step-size'].value),
] if 'power-sweep' in sim_data['autodesign']['power-mode'] else [0, 0, 0]
) if ('power-mode' in sim_data['autodesign']) else None,
roll_off=float(sim_data['grid']['tx-roll-off'].value),
sys_margins=float(sim_data['system-margin'].value),
tx_osnr=float(sim_data['grid']['tx-osnr'].value),
),
},
'Transceiver': {x['type'].value: _transform_transceiver(x) for x in data['tip-photonic-equipment:transceiver']},
}
return equipment
def _load_network(data: _y.instance.RootNode, equipment: Dict[str, Dict[str, Any]]) -> DiGraph:
'''Load the network topology from YANG data'''
network = DiGraph()
nodes = {}
for net in data['ietf-network:networks']['ietf-network:network']:
if 'network-types' not in net:
continue
if 'tip-photonic-topology:photonic-topology' not in net['network-types']:
continue
for node in net['ietf-network:node']:
uid = node['node-id'].value
location = None
if 'tip-photonic-topology:geo-location' in node:
loc = node['tip-photonic-topology:geo-location']
if 'x' in loc and 'y' in loc:
location = elements.Location(
longitude=float(loc['tip-photonic-topology:x'].value),
latitude=float(loc['tip-photonic-topology:y'].value)
)
metadata = {'location': location} if location is not None else None
if 'tip-photonic-topology:amplifier' in node:
amp = node['tip-photonic-topology:amplifier']
type_variety = amp['model'].value
params = copy.copy(equipment['Edfa'][type_variety].__dict__)
el = elements.Edfa(
uid=uid,
type_variety=type_variety,
params=params,
metadata=metadata,
operational={
'gain_target': _optional_float(amp, 'gain-target'),
'tilt_target': _optional_float(amp, 'tilt-target', 0),
'out_voa': _optional_float(amp, 'out-voa-target'),
'delta_p': _optional_float(amp, 'delta-p'),
},
)
elif 'tip-photonic-topology:roadm' in node:
roadm = node['tip-photonic-topology:roadm']
type_variety = roadm['model'].value
params = copy.copy(equipment['Roadm'][type_variety].__dict__)
el = elements.Roadm(
uid=uid,
type_variety=roadm['model'].value,
metadata={'location': location} if location is not None else None,
params=params,
# FIXME
)
elif 'tip-photonic-topology:transceiver' in node:
txp = node['tip-photonic-topology:transceiver']
el = elements.Transceiver(
uid=uid,
type_variety=txp['model'].value,
metadata={'location': location} if location is not None else None,
# FIXME
)
elif 'tip-photonic-topology:attenuator' in node:
att = node['tip-photonic-topology:attenuator']
el = elements.Fused(
uid=uid,
params={
'loss': _optional_float(att, 'attenuation', None),
}
)
else:
raise ValueError(f'Internal error: unrecognized network node {node} which was expected to belong to the photonic-topology')
network.add_node(el)
nodes[el.uid] = el
# start by creating GNPy network nodes
for link in net['ietf-network-topology:link']:
source = link['source']['source-node'].value
target = link['destination']['dest-node'].value
if 'tip-photonic-topology:fiber' in link:
fiber = link['tip-photonic-topology:fiber']
params = {
'length_units': 'km', # FIXME
'length': float(fiber['length'].value),
'loss_coef': float(fiber['loss-per-km'].value),
'att_in': float(fiber['attenuation-in'].value),
'con_in': float(fiber['conn-att-in'].value),
'con_out': float(fiber['conn-att-out'].value),
}
specs = equipment['Fiber'][fiber['type'].value]
for key in ('dispersion', 'gamma', 'pmd_coef'):
params[key] = getattr(specs, key)
location = elements.Location(
latitude=(nodes[source].metadata['location'].latitude + nodes[target].metadata['location'].latitude) / 2,
longitude=(nodes[source].metadata['location'].longitude + nodes[target].metadata['location'].longitude) / 2,
)
el = elements.Fiber(
uid=link['link-id'].value,
type_variety=fiber['type'].value,
params=params,
metadata={'location': location},
# FIXME
)
network.add_node(el)
nodes[el.uid] = el
elif 'tip-photonic-topology:patch' in link:
# No GNPy-level node is needed for these
pass
else:
raise ValueError(f'Internal error: unrecognized network link {link} which was expected to belong to the photonic-topology')
# now add actual links
for link in net['ietf-network-topology:link']:
source = link['source']['source-node'].value
target = link['destination']['dest-node'].value
if 'tip-photonic-topology:fiber' in link:
this_node = link['link-id'].value
network.add_edge(nodes[source], nodes[this_node], weight=float(fiber['length'].value))
network.add_edge(nodes[this_node], nodes[target], weight=0.01)
elif 'tip-photonic-topology:patch' in link:
network.add_edge(nodes[source], nodes[target], weight=0.01)
patch = link['tip-photonic-topology:patch']
if 'roadm-target-egress-per-channel-power' in patch:
per_degree_power = float(patch['roadm-target-egress-per-channel-power'].value)
nodes[source].params.per_degree_pch_out_db[target] = per_degree_power
# FIXME: read set_egress_amplifier and make it do what I want to do here
# FIXME: be super careful with autodesign!, the assumptions in "legacy JSON" and in "YANG JSON" are very different
return network
def load_from_yang(json_data: Dict) -> Tuple[Dict[str, Dict[str, Any]], DiGraph]:
'''Load equipment library, (FIXME: nothing for now, will be the network topology) and simulation options from a YANG-formatted JSON-like object'''
dm = create_datamodel()
data = dm.from_raw(json_data)
data.validate(ctype=_y.enumerations.ContentType.config)
data = data.add_defaults()
# No warnings are given for "missing data". In YANG, it is either an error if some required data are missing,
# or there are default values which in turn mean that it is safe to not specify those data. There's no middle
# ground like "please yell at me when I missed that, but continue with the simulation". I have to admit I like that.
SIMULATION = 'tip-photonic-simulation:simulation'
if SIMULATION not in data:
raise exceptions.ConfigurationError(f'YANG data does not contain the /{SIMULATION} element')
sim_data = data[SIMULATION]
equipment = _load_equipment(data, sim_data)
# FIXME: adjust all Simulation's parameters
network = _load_network(data, equipment)
return (equipment, network)
def _store_equipment_edfa(name: str, edfa: _ji.Amp) -> Dict:
'''Save in-memory representation of an EDFA amplifier type into a YANG-formatted dict'''
res = {
'type': name,
'gain-min': str(edfa.gain_min),
}
if edfa.dual_stage_model is not None:
res['composite'] = {
'preamp': edfa.dual_stage_model.preamp_variety,
'booster': edfa.dual_stage_model.booster_variety,
}
else:
res['frequency-min'] = str(edfa.f_min / _conv.THZ)
res['frequency-max'] = str(edfa.f_max / _conv.THZ)
res['gain-flatmax'] = str(edfa.gain_flatmax)
res['max-power-out'] = str(edfa.p_max)
res['has-output-voa'] = edfa.out_voa_auto
if isinstance(edfa.nf_model, _ji.Model_fg):
if edfa.nf_model.nf0 < 3:
res['raman-approximation'] = {
'nf': str(edfa.nf_model.nf0)
}
else:
res['polynomial-NF'] = {
'a': '0',
'b': '0',
'c': '0',
'd': str(edfa.nf_model.nf0),
}
elif isinstance(edfa.nf_model, _ji.Model_vg):
res['min-max-NF'] = {
'nf-min': str(edfa.nf_model.orig_nf_min),
'nf-max': str(edfa.nf_model.orig_nf_max),
}
elif isinstance(edfa.nf_model, _ji.Model_openroadm_ila):
res['OpenROADM-ILA'] = {
'a': str(edfa.nf_model.nf_coef[0]),
'b': str(edfa.nf_model.nf_coef[1]),
'c': str(edfa.nf_model.nf_coef[2]),
'd': str(edfa.nf_model.nf_coef[3]),
}
elif isinstance(edfa.nf_model, _ji.Model_openroadm_preamp):
res['OpenROADM-preamp'] = {}
elif isinstance(edfa.nf_model, _ji.Model_openroadm_booster):
res['OpenROADM-booster'] = {}
elif edfa.type_def == 'advanced_model':
res['polynomial-NF'] = {
'a': str(edfa.nf_fit_coeff[0]),
'b': str(edfa.nf_fit_coeff[1]),
'c': str(edfa.nf_fit_coeff[2]),
'd': str(edfa.nf_fit_coeff[3]),
}
# FIXME: implement these
# 'nf_ripple': None,
# 'dgt': None,
# 'gain_ripple': None,
return res
def _store_equipment_fiber(name: str, fiber: Union[_ji.Fiber, _ji.RamanFiber]) -> Dict:
'''Save in-memory representation of a single fiber type into a YANG-formatted dict'''
res = {
'type': name,
'chromatic-dispersion': str(fiber.dispersion / _conv.FIBER_DISPERSION),
'gamma': str(fiber.gamma / _conv.FIBER_GAMMA),
'pmd-coefficient': str(fiber.pmd_coef / _conv.FIBER_PMD_COEF),
}
# FIXME: do we support setting 'dispersion-slope' via JSON setting in the first place? There are no examples...
try:
res['dispersion-slope'] = str(fiber.dispersion_slope / _conv.FIBER_DISPERSION_SLOPE)
except AttributeError:
pass
if isinstance(fiber, _ji.RamanFiber):
res['raman-efficiency'] = [
{
'delta-frequency': str(freq / _conv.THZ),
'cr': str(float(cr)),
} for (cr, freq) in zip(fiber.raman_efficiency['cr'], fiber.raman_efficiency['frequency_offset'])
]
return res
def _store_equipment_transceiver(name: str, txp: _ji.Transceiver) -> Dict:
'''Save in-memory representation of a transceiver type into a YANG-formatted dict'''
return {
'type': name,
'frequency-min': str(txp.frequency['min'] / _conv.THZ),
'frequency-max': str(txp.frequency['max'] / _conv.THZ),
'mode': [{
'name': mode['format'],
'bit-rate': int(mode['bit_rate'] / _conv.GIGA),
'baud-rate': str(float(mode['baud_rate'] / _conv.GIGA)),
'required-osnr': str(float(mode['OSNR'])),
'in-band-tx-osnr': str(float(mode['tx_osnr'])),
'grid-spacing': str(float(mode['min_spacing'] / _conv.GIGA)),
'tx-roll-off': str(float(mode['roll_off'])),
'tip-photonic-simulation:cost': mode['cost'],
} for mode in txp.mode],
}
def _store_equipment_roadm(name: str, roadm: _ji.Roadm) -> Dict:
'''Save in-memory representation of a ROADM type into a YANG-formatted dict'''
return {
'type': name,
'add-drop-osnr': str(roadm.add_drop_osnr),
'polarization-mode-dispersion': str(roadm.pmd),
'target-channel-out-power': str(roadm.target_pch_out_db),
'compatible-preamp': [amp for amp in roadm.restrictions.get('preamp_variety_list', [])],
'compatible-booster': [amp for amp in roadm.restrictions.get('booster_variety_list', [])],
}
def _json_yang_link(uid, source, destination, extra):
link = {
'link-id': uid,
'source': {
'source-node': source,
},
'destination': {
'dest-node': destination,
},
}
link.update(extra)
return link
def _store_topology(raw: Dict, equipment, network):
nodes = []
links = []
for n in network.nodes():
if isinstance(n, elements.Transceiver):
if not hasattr(n, 'type_variety'):
# raise exceptions.NetworkTopologyError(f"Legacy JSON doesn't specify type_variety for {n!s}")
# FIXME: Many topologies do not define transponder types. How to solve this?
n.type_variety = next(iter(equipment['Transceiver']))
nodes.append({
'node-id': n.uid,
'tip-photonic-topology:transceiver': {
'model': n.type_variety,
}
})
# for x in _next_nodes_except_links(network, n):
# links.append(_json_yang_link(f'{n.uid} - {x.uid}', n.uid, x.uid, {})
elif isinstance(n, elements.Edfa):
amp_data = {
'model': n.type_variety,
}
if n.operational.gain_target is not None:
amp_data['gain-target'] = str(n.operational.gain_target)
if n.operational.delta_p is not None:
amp_data['delta-p'] = str(n.operational.delta_p)
if n.operational.tilt_target is not None:
amp_data['tilt-target'] = str(n.operational.tilt_target)
if n.operational.out_voa is not None:
amp_data['out-voa-target'] = str(n.operational.out_voa)
nodes.append({
'node-id': n.uid,
'tip-photonic-topology:amplifier': amp_data,
})
elif isinstance(n, elements.Roadm):
if not hasattr(n, 'type_variety'):
raise exceptions.NetworkTopologyError(f"Legacy JSON doesn't specify type_variety for {n!s}")
nodes.append({
'node-id': n.uid,
'tip-photonic-topology:roadm': {
'model': n.type_variety,
'target-egress-per-channel-power': str(n.params.target_pch_out_db),
# FIXME: more
}
})
elif isinstance(n, elements.Fused):
nodes.append({
'node-id': n.uid,
'tip-photonic-topology:attenuator': {
'attenuation': str(n.loss),
}
})
elif isinstance(n, elements.Fiber):
ingress_node = next(network.predecessors(n))
egress_node = next(network.successors(n))
specific = {
'tip-photonic-topology:fiber': {
'type': n.type_variety,
'length': str(n.params.length * 1e-3),
'attenuation-in': str(n.params.att_in),
'conn-att-in': str(n.params.con_in),
'conn-att-out': str(n.params.con_out),
# FIXME: more?
}
}
links.append(_json_yang_link(n.uid, ingress_node.uid, egress_node.uid, specific))
else:
raise NotImplementedError(f'Internal error: unhandled node {n!s}')
for edge in network.edges():
if isinstance(edge[0], elements.Fiber):
if isinstance(edge[1], elements.Fiber):
raise exceptions.NetworkTopologyError(f"Fiber connected to a Fiber: {edge[0].uid}, {edge[1].uid}")
else:
# nt:link got created when the Fiber node was processed
continue
elif isinstance(edge[1], elements.Fiber):
# nt:link got created when the Fiber node was processed
continue
link = {'tip-photonic-topology:patch': {}}
if isinstance(edge[0], elements.Roadm):
per_degree_powers = edge[0].params.per_degree_pch_out_db
next_node_name = edge[1].uid
link['tip-photonic-topology:patch']['roadm-target-egress-per-channel-power'] = str(
per_degree_powers.get(next_node_name, edge[0].params.target_pch_out_db))
links.append(_json_yang_link(f'patch{{{edge[0].uid}, {edge[1].uid}}}', edge[0].uid, edge[1].uid, link))
raw['ietf-network:networks'] = {
'network': [{
'network-id': 'GNPy',
'network-types': {
'tip-photonic-topology:photonic-topology': {},
},
'node': nodes,
'ietf-network-topology:link': links,
}],
}
def save_to_json(equipment: Dict[str, Dict[str, Any]], network) -> Dict:
'''Save the in-memory equipment library into a dict with YANG-formatted data'''
dm = create_datamodel()
for k in ('Edfa', 'Fiber', 'Span', 'SI', 'Transceiver', 'Roadm'):
if k not in equipment:
raise exceptions.ConfigurationError(f'No "{k}" in the equipment library')
for k in ('Span', 'SI'):
if 'default' not in equipment[k]:
raise exceptions.ConfigurationError('No ["{k}"]["default"] in the equipment library')
# FIXME: what do we do with these amps? Is this detection a good thing, btw?
# legacy_raman = [name for (name, amp) in equipment['Edfa'].items() if amp.raman]
# if legacy_raman:
# raise exceptions.ConfigurationError(
# f'Legacy Raman amplifiers are not supported, remove them from configuration: {legacy_raman}')
span: _ji.Span = equipment['Span']['default']
spectrum: _ji.SI = equipment['SI']['default']
raw = {
"tip-photonic-equipment:amplifier": [_store_equipment_edfa(k, v) for (k, v) in equipment['Edfa'].items()],
"tip-photonic-equipment:fiber":
[_store_equipment_fiber(k, v) for (k, v) in equipment['Fiber'].items() if k not in equipment.get('RamanFiber', {})] +
[_store_equipment_fiber(k, v) for (k, v) in equipment.get('RamanFiber', {}).items()],
"tip-photonic-equipment:transceiver": [_store_equipment_transceiver(k, v) for (k, v) in equipment['Transceiver'].items()],
"tip-photonic-equipment:roadm": [_store_equipment_roadm(k, v) for (k, v) in equipment['Roadm'].items()],
"tip-photonic-simulation:simulation": {
'grid': {
'frequency-min': str(spectrum.f_min / _conv.THZ),
'frequency-max': str(spectrum.f_max / _conv.THZ),
'spacing': str(spectrum.spacing / _conv.GIGA),
'power': str(spectrum.power_dbm),
'tx-roll-off': str(spectrum.roll_off),
'tx-osnr': str(spectrum.tx_osnr),
'baud-rate': str(spectrum.baud_rate / _conv.GIGA),
},
'autodesign': {
'allowed-inline-edfa': [k for (k, v) in equipment['Edfa'].items() if v.allowed_for_design],
'power-adjustment-for-span-loss': {
'maximal-reduction': str(span.delta_power_range_db[0]),
'maximal-boost': str(span.delta_power_range_db[1]),
'excursion-step-size': str(span.delta_power_range_db[2]),
},
},
'system-margin': str(spectrum.sys_margins),
},
}
if span.power_mode:
raw['tip-photonic-simulation:simulation']['autodesign']['power-mode'] = {
'power-sweep': {
'start': str(spectrum.power_range_db[0]),
'stop': str(spectrum.power_range_db[1]),
'step-size': str(spectrum.power_range_db[2]),
},
}
else:
raw['tip-photonic-simulation:simulation']['autodesign']['gain-mode'] = [None]
if network is not None:
_store_topology(raw, equipment, network)
data = dm.from_raw(raw)
data.validate()
return data.raw_value()

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@@ -0,0 +1,104 @@
module tip-onos-topology {
yang-version 1.1;
namespace "https://oopt.telecominfraproject.com/yang/onos-topology";
prefix "gnpy-onos";
import ietf-network {
prefix nw;
revision-date 2018-02-26;
}
import ietf-network-topology {
prefix nt;
revision-date 2018-02-26;
}
organization "Telecom Infrastructure Project";
contact "https://github.com/Telecominfraproject/oopt-gnpy";
description "Feeding GNPy simulations into ONOS
GNPy and ONOS have different understanding of what \"a node\" is.
In GNPy, a typical ROADM, and even a ROADM degree, comprises one GNPy-level element for the \"switching matrix\", and also an extra element for each integrated EDFA.
This presents certain issues when mapping ONOS-level requests with GNPy-level path information -- simply because the node IDs *cannot* be the same.
No GNPy nodes are \"split\" into several ONOS nodes, but many ONOS elements are split into several GNPy nodes each.
To use this, just create one nw:network for the GNPy topology, and one nw:network for the ONOS topology.
The node IDs in GNPy are arbitrary, while the node IDs in this topology must map directly to ONOS Device URLs.
Create a pair of nt:network/node/supporting-node/node-ref and network-ref going from the ONOS topology to the GNPy topology.
GNPy's experimental API server will use this information to automatically build a device configuration JSON that can be fed to ONOS.
The links are a bit more complex, because GNPy does not use ports -- just devices.
All connections in GNPy are unidirectional, whereas in ONOS we only use bidirectional ones -- but with a given port.
This is required so that, e.g., ONOS knows how to determine the egress port number when routing a MC in a ROADM.
";
revision 2021-06-06 {
description "Initial release";
reference "Internal documentation";
}
augment "/nw:networks/nw:network/nw:network-types" {
description "ONOS topology for use with GNPy";
container onos-topology {
presence "Devices for ONOS";
description "Devices for ONOS";
}
}
augment "/nw:networks/nw:network/nw:node" {
when "../nw:network-types/gnpy-onos:onos-topology";
description "ONOS devices";
container device {
description "A device that ONOS can connect to
Use nt:node/supporting-node to tie this with GNPy-level nodes.
";
leaf name {
type string;
mandatory true;
description "A free-form title";
}
leaf grid-x {
type int16;
mandatory true;
description "Position in ONOS' topology view (X)";
}
leaf grid-y {
type int16;
mandatory true;
description "Position in ONOS' topology view (Y)";
}
leaf driver {
type string;
mandatory true;
description "Driver ID";
}
container netconf {
description "Protocol options for NETCONF connections";
leaf username {
type string;
mandatory true;
description "Login name";
}
leaf password {
type string;
mandatory true;
description "Password in cleartext";
}
leaf idle-timeout {
type uint16;
description "Just use 0 here";
}
}
}
}
augment "/nw:networks/nw:network/nt:link" {
when "../nw:network-types/gnpy-onos:onos-topology";
description "ONOS device links";
// right now we just don't to anything; we create a link with a magic name, and that's all
}
}

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@@ -0,0 +1,694 @@
module tip-photonic-equipment {
yang-version 1.1;
namespace "https://oopt.telecominfraproject.com/yang/equipment";
prefix "tip-pe";
organization "Telecom Infrastructure Project";
contact "https://github.com/Telecominfraproject/oopt-gnpy";
description "Catalog of photonic equipment for simulating signal propagation via the OOPT-PSE GNPy tool";
revision 2020-09-01 {
description "Initial release";
reference "Internal documentation";
}
typedef db-ratio {
type decimal64 {
fraction-digits 2;
}
units "dB";
description "Decibels";
}
typedef noise-figure {
type db-ratio {
range "3.0 .. 20.0";
}
description "Noise Figure of an amplifier";
}
typedef gain {
type db-ratio {
range "0 .. 40.0";
}
description "Gain of an amplifier";
}
typedef power {
type decimal64 {
fraction-digits 2;
range "-99.9 .. 30.0";
}
units "dBm";
description "Optical power in dBm";
}
typedef carrier-frequency {
type decimal64 {
fraction-digits 7;
range "191.0 .. 197.0";
}
units "THz";
description "Optical frequency of a signal";
}
typedef frequency-channel-spacing {
type decimal64 {
fraction-digits 7;
range "6.25 .. 200.0";
}
units "GHz";
description "Channel spacing";
}
typedef frequency-raman-pump {
type decimal64 {
fraction-digits 3;
range "196.0 .. 260.0";
}
units "THz";
description "Optical frequency of a Raman pumping laser";
}
typedef baud-rate {
type decimal64 {
fraction-digits 4;
range "10 .. 130";
}
units "Gbaud";
description "Symbol rate";
}
typedef roll-off {
type decimal64 {
fraction-digits 4;
range "0 .. 1";
}
description "Roll-off parameter (β) of the TX pulse shaping filter. This assumes a raised-cosine filter.";
}
typedef cd {
type decimal64 {
fraction-digits 2;
range "-50000 .. 50000";
}
units "ps × nm⁻¹";
description "Chromatic Dispersion (CD).";
}
typedef pmd {
type decimal64 {
fraction-digits 4;
}
units "ps";
description "Polarization mode dispersion (PMD).";
}
typedef polynomial-coefficient {
type decimal64 {
fraction-digits 12;
}
description "One coefficient within a polynomial";
}
grouping cubic-polynomial-coefficients {
description "Coefficients for a polynomial of a third degree: f(x) = a*x³ + b*x² + c*x + d";
leaf a {
type polynomial-coefficient;
mandatory true;
description "Cubic (x³) coefficient";
}
leaf b {
type polynomial-coefficient;
mandatory true;
description "Quadratic (x²) coefficient";
}
leaf c {
type polynomial-coefficient;
mandatory true;
description "Linear (x) coefficient";
}
leaf d {
type polynomial-coefficient;
mandatory true;
description "Offset (+) coefficient";
}
}
grouping amp-spectrum-profile {
description "Changes in amplifier's operation as a function of frequency";
list gain-ripple {
leaf frequency {
type carrier-frequency;
description "Frequency for the specific gain ripple deviation";
}
leaf gain-ripple {
type db-ratio;
mandatory true;
description "Gain ripple deviation at a given frequency";
}
key "frequency";
description "Amplifier gain ripple excursion comb list in dB across the frequency range";
}
list nf-ripple {
leaf frequency {
type carrier-frequency;
description "Frequency for the specific NF ripple deviation";
}
leaf nf-ripple {
type db-ratio;
mandatory true;
description "NF ripple deviation at a given frequency";
}
key "frequency";
description "Amplifier NF ripple excursion comb list in dB across the frequency range";
}
list dynamic-gain-tilt {
leaf frequency {
type carrier-frequency;
description "Frequency for the specific NF ripple deviation";
}
leaf dynamic-gain-tilt {
type db-ratio;
mandatory true;
description "DGT at a specified frequency";
}
key "frequency";
description "Dynamic Gain Tilt (DGT) refers to a relative change of gain
at a given frequency when compared to a reference frequency.
Intro about the model: https://telecominfraproject.workplace.com/groups/OOPT.PSE/permalink/957144244450445/
Relevant paper: https://www.osapublishing.org/jlt/abstract.cfm?uri=JLT-18-3-343";
}
}
grouping amp-common {
description "Properties common to all EDFAs except the composite models";
leaf frequency-min {
type carrier-frequency;
default 191.325;
description "Minimal frequency supported by this amplifier
This refers to the edge of the optical spectrum, not to a central frequency of a fixed grid.";
}
leaf frequency-max {
type carrier-frequency;
default 196.125;
description "Maximal frequency supported by this amplifier
This refers to the edge of the optical spectrum, not to a central frequency of a fixed grid.";
}
leaf has-output-voa {
type boolean;
default false;
description "If true, output VOA is present.
An amplifier with an output VOA can be pushed to operate at its the max-power-out if the output VOA is available.";
}
leaf gain-flatmax {
type gain;
mandatory true;
description "Maximal gain of the nominal range (without entering the extended range)
Once the amplifier's gain gets pushed into the extended range, it begins to tilt as specified in the dynamic-gain-tilt.";
}
leaf max-power-out {
type power;
mandatory true;
description "Maximal output power at the amplifier's output port
The total signal output power will not be allowed beyond this value.";
}
}
list amplifier {
key "type";
description "Available amplifier (EDFA) models";
leaf type {
type string;
description "Brief identification of the amplifier model. This is used for cross-referencing from topology data.";
}
uses amp-common {
when "count(composite) = 0";
description "Common parameters for all EDFAs except aggregated ones";
}
leaf gain-min {
type gain;
mandatory true;
description "Minimal possible gain of the amplifier
If the amplifier's gain is set below this value, the amplifier's input is automatically padded with an attenuator,
and the NF is increased by the attenuation of this padding.";
}
choice noise-model {
mandatory true;
description "What simulation algorithm to use for this amplifier model";
case polynomial-NF {
container polynomial-NF {
description "Whitebox model with detailed information about gain ripple, NF ripple and dynamic gain tilt
Polynomial coefficients for NF calculation:
f(x) = a*x³ + b*x² + c*x + d
NF = f(gain_max - gain)
This model can be also used for fixed-gain fixed-NF amplifiers. In that case, use:
a = b = c = 0
d = NF";
uses cubic-polynomial-coefficients;
}
}
case min-max-NF {
container min-max-NF {
description "Operator-focused model
Performance is defined by the minimal and maximal NF. These are especially suited to model a dual-coil
EDFA with a VOA in between.";
leaf nf-min {
type noise-figure;
mandatory true;
description "Minimal Noise Figure (operating at the point of the maximal flat gain)
See gain-flatmax.";
}
leaf nf-max {
type noise-figure;
mandatory true;
description "Maximal Noise Figure (operating at the minimal gain)";
}
}
}
case OpenROADM-ILA {
container OpenROADM-ILA {
description "EDFA model based on the OpenROADM specification for an ILA
OpenROADM describes amplifier performance in terms of an incremental OSNR as a function of input power:
Incremental OSNR = a*Pᵢₙ³ + b*Pᵢₙ² + c*Pᵢₙ + d
";
uses cubic-polynomial-coefficients;
}
}
case OpenROADM-preamp {
container OpenROADM-preamp {
presence true;
description "Linear impairments of the MW-MW path within an OpenROADM ROADM node
Unlike GNPy which simulates the preamplifier and the booster separately as two amplifiers for best accuracy,
the OpenROADM specification mandates a certain performance level for a combination of these two amplifiers.
For the express path, the effective noise mask comprises the preamplifier and the booster.
When terminating a channel, the same effective noise mask is mandated for a combination of the preamplifier
and the drop stage.
This NF model provides all of the linear impairments to the signal, including those which are incurred by
the booster in a real network.";
}
}
case OpenROADM-booster {
container OpenROADM-booster {
presence true;
description "A faux, \"zero-noise\" amplifier for use along with OpenROADM-preamp as a booster.";
}
}
case composite {
container composite {
description "Dual-stage amplifier combines two distinct amplifiers
The first amplifier will be always operated at its maximal gain (and therefore its best NF).";
leaf preamp {
type leafref {
path "/tip-pe:amplifier/type";
}
must "count(deref(.)/../composite) = 0" {
error-message "First (preamp) stage of a composite amplifier cannot be a composite amplifier";
}
must "../../gain-min >= deref(.)/../gain-min" {
error-message "Minimal total gain of a composite EDFA cannot be lower that the minimal gain of the preamp";
}
mandatory true;
description "Amplifier type used as a preamplifier, i.e., the first stage";
}
leaf booster {
type leafref {
path "/tip-pe:amplifier/type";
}
must "count(deref(.)/../composite) = 0" {
error-message "Second (booster) stage of a composite amplifier cannot be a composite amplifier";
}
must "(deref(.)/../frequency-min <= deref(../preamp)/../frequency-max) and
(deref(.)/../frequency-max >= deref(../preamp)/../frequency-min)" {
error-message "booster/preamp operating frequencies do not overlap";
}
mandatory true;
description "Amplifier type used as a booster, i.e., the second stage";
}
}
}
case raman-approximation {
container raman-approximation {
description "Emulate a Raman amplifier with a possibly negative NF
This NF model assumes a particular, fixed NF. It is similar to the polynomial-NF model, except that the
effective NF value is fixed (and therefore it does not vary with the amplifier's operating point), and
that the effective NF can be described as a negative value.
Use this for model to (roughly) emulate a Raman amplifier when the detailed description of Raman pumps
is not available from the equipment vendor.";
leaf nf {
type db-ratio {
range "-5.0 .. 20.0";
}
mandatory true;
description "Noise Figure (NF) of the amplifier";
}
}
}
}
uses amp-spectrum-profile {
when "count(deref(.)/composite) = 0";
}
leaf model-precision {
type enumeration {
enum public-approximation {
description "These data come from a publicly available datasheet, and as such might be only an approximate representation";
}
enum reasonably-precise {
description "The GNPy team believes that these are reasonably accurate";
}
}
default reasonably-precise;
description "How precise are the modeling data
If a simulation runs with only approximate inputs, the simulation results might be \"tainted\" with inaccuracies.";
}
}
list fiber {
key "type";
description "Available fiber types";
leaf type {
type string;
description "Unique identification of the fiber type. This is used for cross-referencing from topology data.";
}
leaf chromatic-dispersion {
type decimal64 {
fraction-digits 6;
range "-25 .. 25";
}
units "ps × nm⁻¹ × km⁻¹";
mandatory true;
description "Chromatic dispersion";
}
leaf chromatic-dispersion-slope {
type decimal64 {
fraction-digits 8;
range "0 .. 0.1";
}
units "ps × nm⁻² × km⁻¹";
default "0.07";
description "Chromatic dispersion slope is related to the β₃ coefficient
Cf. Abramczyk, Halina. Dispersion phenomena in optical fibers. Virtual European University on Lasers, 2005.
http://mitr.p.lodz.pl/evu/lectures/Abramczyk3.pdf";
}
leaf gamma {
type decimal64 {
fraction-digits 8;
range "0.5 .. 2.5";
}
units "W⁻¹ × km⁻¹";
mandatory true;
description "Fiber's γ coefficient
See, e.g., A. Carena, G. Bosco, V. Curri, P. Poggiolini, M. Tapia Taiba, and F. Forghieri. Statistical characterization
of PM-QPSK signals after propagation in uncompensated fiber links. In European Conference on Optical Communications,
2010, 13. IEEE, 2010-09.
URL: http://ieeexplore.ieee.org/document/5621509/
doi:10.1109/ECOC.2010.5621509";
}
leaf pmd-coefficient {
type decimal64 {
fraction-digits 10;
range "0 .. 10";
}
units "ps × √(km)⁻¹";
mandatory true;
description "Polarization mode dispersion (PMD) coefficient";
}
list raman-efficiency {
key "delta-frequency";
description "Efficiency of Raman amplification in the fiber medium per operating frequency
See, e.g., J. Bromage. Raman Amplification for Fiber Communications Systems. In J. Lightwave Technol. 22, 79- (2004).";
leaf delta-frequency {
type decimal64 {
fraction-digits 3;
range "0 .. 60";
}
units "THz";
description "Spectral difference between the pumping photon and the one receiving energy";
}
leaf cr {
type decimal64 {
fraction-digits 12;
range "0 .. 1";
}
mandatory true;
description "Normalized Raman efficiency (the Cᵣ parameter)";
}
}
}
list transceiver {
key "type";
description "Available transceivers";
leaf type {
type string;
description "Unique identification of the transceiver type. This is used for cross-referencing from topology data.";
}
leaf frequency-min {
type carrier-frequency;
default 191.35;
description "Minimal frequency supported by this transceiver model";
}
leaf frequency-max {
type carrier-frequency;
default 196.1;
description "Maximal frequency supported by this transceiver model";
}
list mode {
key "name";
min-elements 1;
description "Operating mode of a transceiver";
leaf name {
type string;
description "Name of this operating mode";
}
leaf bit-rate {
type uint16 {
range "100 .. 1000";
}
units "Gbits * s⁻¹";
description "Data bit rate";
}
leaf baud-rate {
type baud-rate;
mandatory true;
description "Symbol baud rate";
}
leaf required-osnr {
type db-ratio {
range "10..40";
}
mandatory true;
description "Minimal required OSNR at the Rx port per 0.1nm of bandwidth";
}
leaf in-band-tx-osnr {
type db-ratio;
mandatory true;
description "Worst-case guaranteed initial OSNR at the Tx port per 0.1nm of bandwidth
Only the in-band OSNR is considered.";
}
leaf grid-spacing {
type frequency-channel-spacing;
mandatory true;
description "Minimal grid spacing
This includes the effective channel spectral bandwidth as well as any operational constraints and policies.";
}
leaf tx-roll-off {
type roll-off;
mandatory true;
description "Roll-off parameter (β) of the TX pulse shaping filter. This assumes a raised-cosine filter.";
}
leaf max-chromatic-dispersion {
type cd;
description "Maximal allowed CD (a hard limit)";
}
leaf max-polarization-mode-dispersion {
type pmd {
range "0 .. 500";
}
description "Maximal allowed PMD (a hard limit)";
}
list chromatic-and-polarization-dispersion-penalty {
key "chromatic-dispersion polarization-mode-dispersion";
leaf chromatic-dispersion {
type cd;
must ". <= ../../max-chromatic-dispersion" {
error-message "CD in the penalty matrix exceeds receiver tolerance";
}
description "CD for a given penalty";
}
leaf polarization-mode-dispersion {
type pmd {
range "0 .. 500";
}
must ". <= ../../max-polarization-mode-dispersion" {
error-message "PMD in the penalty matrix exceeds receiver tolerance";
}
description "PMD for a given penalty";
}
leaf penalty {
type db-ratio {
range "-5 .. 10";
}
mandatory true;
description "Resulting GSNR penalty at the specified CD and PMD";
}
description "GSNR penalty for a combination of a CD and PMD
The receiver performance should be de-rated by a given `penalty` for a specified combination of CD and PMD.
GNPy will use linear approximation between the provided datapoints in the CD/PMD matrix.
";
}
}
}
list roadm {
key "type";
description "ROADM - Reconfigurable Optical Add/Drop Multiplexer";
leaf type {
type string;
description "Unique identification of the transponder type. This is used for cross-referencing from topology data.";
}
leaf add-drop-osnr {
type db-ratio;
mandatory true;
description "OSNR penalty introduced by the Add stage and the Drop stage of this ROADM model
Effective degradation of the signal, taking into account both the Add and the Drop stages of this ROADM model.";
}
leaf target-channel-out-power {
type power;
mandatory true;
description "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 basis in the network topology.";
}
leaf polarization-mode-dispersion {
type pmd {
range "0 .. 5";
}
mandatory true;
description "Polarization mode dispersion (PMD) penalty of the express path within this ROADM model";
}
leaf-list compatible-preamp {
type leafref {
path "/tip-pe:amplifier/type";
}
description "A set of allowed amplifier types to be used in the ingress direction
If empty, autodesign is allowed to pick any amplifier as a preamp.";
}
leaf-list compatible-booster {
type leafref {
path "/tip-pe:amplifier/type";
}
description "A set of allowed amplifier types to be used in the egress direction
If empty, autodesign is allowed to pick any amplifier as a booster.";
}
}
}

View File

@@ -0,0 +1,244 @@
module tip-photonic-simulation {
yang-version 1.1;
namespace "https://oopt.telecominfraproject.com/yang/simulation";
prefix "tip-sim";
import tip-photonic-equipment {
prefix tip-pe;
revision-date 2020-09-01;
}
organization "Telecom Infrastructure Project";
contact "https://github.com/Telecominfraproject/oopt-gnpy";
description "Simulation settings for GNPy";
revision 2020-09-01 {
description "Initial release";
reference "Internal documentation";
}
container simulation {
presence "Activates a GNPy simulation";
description "Simulation settings and per-run input parameters";
choice spectrum {
mandatory true;
description "Spectral load for planning considerations
This is the channel allocation for which GNPy will optimize. It should represent the end-of-life spectrum allocation.";
case grid {
container grid {
description "Homogeneous channel allocation on a fixed grid";
leaf frequency-min {
type tip-pe:carrier-frequency;
default 191.35;
description "Central frequency of the first (lowest) channel";
}
leaf frequency-max {
type tip-pe:carrier-frequency;
default 196.1;
description "Central frequency of the last (highest) channel";
}
leaf spacing {
type tip-pe:frequency-channel-spacing;
default 50.0;
description "Grid spacing";
}
leaf baud-rate {
type tip-pe:baud-rate;
mandatory true;
description "Symbol baud rate";
}
leaf tx-osnr {
type tip-pe:db-ratio;
mandatory true;
description "Transponder TX signal OSNR";
}
leaf tx-roll-off {
type tip-pe:roll-off;
mandatory true;
description "Roll-off parameter (β) of the TX pulse shaping filter. This assumes a raised-cosine filter.";
}
leaf power {
type tip-pe:power;
mandatory true;
description "";
}
}
}
}
container autodesign {
description "Optimization parameters";
choice edfa-gain-strategy {
mandatory true;
description "Optimization strategy for setting amplifier operating mode";
case power-mode {
container power-mode {
description "Whatever GNPy power-mode actually means"; // FIXME
container power-sweep {
presence "Vary the initial launch power";
description "Varying the initial launch power";
leaf start {
type tip-pe:db-ratio;
mandatory true;
description "Initial delta from the reference power when determining the best initial launch power";
}
leaf stop {
type tip-pe:db-ratio;
mandatory true;
description "Final delta from the reference power when determining the best initial launch power";
}
leaf step-size {
type tip-pe:db-ratio;
mandatory true;
description "Step size when determining the best initial launch power";
}
}
}
}
case gain-mode {
leaf gain-mode {
type empty;
mandatory true;
// FIXME: describe this
description "Set EDFA gain based on previous span loss
For all EDFAs whose gain has not been set manually, set the gain based on the following rules:
1) Set gain to the preceding span loss.
2) Offset the gains around the reference power (FIXME: what does it mean?
This will leave the gain of EDFAs which have their gains set manually in the network topology unchanged.";
}
}
}
container power-adjustment-for-span-loss {
description "Adjusting launch power depending on a span loss
When in effect, lanuch powers to spans are adjusted based on the total span loss. The span loss is
compared to a reference span of 20dB, and the launch power is adjusted by about 0.3 * loss_difference,
up to a provided maximal adjustment.
This adjustment is performed for all spans when running in the `power-mode`. When in `gain-mode`,
it affects only EDFAs which do not have an explicitly assigned `delta-p`.
";
leaf maximal-reduction {
type tip-pe:power;
mandatory true;
description "Launch power might be reduced by up to this many dB on \"short\" spans";
}
leaf maximal-boost {
type tip-pe:power;
mandatory true;
description "Launch power might be increased by up to this many dB on lossy spans";
}
leaf excursion-step-size {
type tip-pe:power;
mandatory true;
description "Step size when increasing/decreasing the launch power";
}
}
leaf-list allowed-inline-edfa {
type leafref {
path "/tip-pe:amplifier/tip-pe:type";
}
description "Allowed EDFA types to be used as inline amplifiers";
}
leaf maximal-span-length {
type uint16 {
range 10..300;
}
units "km";
default 100;
description "Distance threshold for inserting amplifiers into tentative links
When working with not-fully-specified fiber links (tentative links), keep the individual fiber below this length. Extra
inline amplifiers will be automatically inserted in between.";
}
}
leaf system-margin {
type tip-pe:power {
range 0..10;
}
default 2;
description "Require this many dBm of GSNR headroom as a safety margin for End-of-Life component deterioration";
}
leaf edfa-maximal-extended-power {
type tip-pe:power {
range 0..6;
}
default 2.5;
status deprecated; // FIXME: move this into /tip-photonic-equipment:amplifier once the backend accounts for that argument
description "Allow up to this many dB increase of an amplifier's gain into its extended power range";
}
leaf shortest-span-without-extra-attenuation {
type tip-pe:db-ratio;
default 10.0;
description "When a fiber span has a lower attenuation than this, automatically insert an attenuator at its beginning";
}
container nli {
description "Non-linear interference (NLI) simulation options";
leaf algorithm {
type enumeration {
enum analytic-gn-model {
description ""; // FIXME: to be filed by Polito
}
enum generalized-gn-spectrally-separated {
description ""; // FIXME: to be filed by Polito
}
}
default generalized-gn-spectrally-separated;
description "What simulation model to use for calculating NLI contribution to the GSNR";
}
container raman {
presence "If present, enable Raman-aware simulation";
description "Global options for Raman-aware simulation";
// FIXME: this really needs docs! CHeck with Alessio and Andrea et al
// FIXME: space-resolution
}
// FIXME: grid-size
// FIXME: dispersion-tolerance
// FIXME: phase-shift-tolerance
// FIXME: computed-channels
}
}
augment "/tip-pe:transceiver/tip-pe:mode" {
description "Transponder mode selection: cost of a particular mode";
leaf cost {
type uint32;
units "Arbitrary units";
default 1;
description "Cost of selecting this mode when determining path feasibility";
}
}
}

View File

@@ -0,0 +1,330 @@
module tip-photonic-topology {
yang-version 1.1;
namespace "https://oopt.telecominfraproject.com/yang/topology";
prefix "tip-topo";
import tip-photonic-equipment {
prefix tip-pe;
revision-date 2020-09-01;
}
import tip-photonic-simulation {
prefix tip-sim;
revision-date 2020-09-01;
}
import ietf-network {
prefix nw;
revision-date 2018-02-26;
}
import ietf-network-topology {
prefix nt;
revision-date 2018-02-26;
}
organization "Telecom Infrastructure Project";
contact "https://github.com/Telecominfraproject/oopt-gnpy";
description "Network topology for simulating signal propagation via the OOPT-PSE GNPy tool";
revision 2020-09-01 {
description "Initial release";
reference "Internal documentation";
}
augment "/nw:networks/nw:network/nw:network-types" {
description "Telecom Infra Project Open Optical Packet Transport Photonic Simulation Environment";
container photonic-topology {
presence "indicates topology describing optical elements";
description "The presence of this container indicates a topology with optical elements";
}
}
grouping link-common-properties {
description "Common fiber parameters which are always known, even when performing autodesign and inserting amplifiers";
leaf type {
type leafref {
path "/tip-pe:fiber/tip-pe:type";
}
mandatory true;
description "Fiber type cross-reference";
}
leaf length {
type decimal64 {
fraction-digits 3;
}
units "km";
mandatory true;
description "Length of the fiber segment";
}
}
augment "/nw:networks/nw:network/nt:link" {
when "../nw:network-types/tip-topo:photonic-topology";
description "Connections of optical components";
// Unfortunately, ietf-network-topology has `require-instance: false` for source and target nodes, and
// the YANG standard doesn't even allow a deviation to override this.
// Also, a `must` statement is not allowed here, and also not in the `choice` statement. One could do a
// `when` deviation`, but that one produced non-intuitive error messages.
// So we have three copies of that superficial `must`, yay.
choice link-type {
description "Is this a well-specified fiber, or a link that should be optimized?";
case tentative-link {
container tentative-link {
must "count(deref(../nt:source/nt:source-node)) = 1" {
error-message "ietf-network-topology:source/source-node must point to a defined node";
}
must "count(deref(../nt:destination/nt:dest-node)) = 1" {
error-message "ietf-network-topology:destination/dest-node must point to a defined node";
}
description "A link where GNPy is expected to inject amplifiers where needed";
uses link-common-properties;
}
}
case fiber {
container fiber {
must "count(deref(../nt:source/nt:source-node)) = 1" {
error-message "ietf-network-topology:source/source-node must point to a defined node";
}
must "count(deref(../nt:destination/nt:dest-node)) = 1" {
error-message "ietf-network-topology:destination/dest-node must point to a defined node";
}
description "Fiber connection
This signifies a fiber whose length is already known. No amplifier huts are available, and the fiber will be used as-is.";
uses link-common-properties;
leaf loss-per-km {
type decimal64 {
fraction-digits 6;
range "0..10";
}
units "dB/km";
default 0.2;
description "Attenuation per kilometer of fiber";
// FIXME: should we just put total attenuation of that fiber in?
}
leaf attenuation-in {
type tip-pe:db-ratio {
range "0..100";
}
default 0;
description "Extra fixed attenuator at the beginning of the fiber";
}
leaf conn-att-in {
type tip-pe:db-ratio {
range "0..100";
}
default 0;
description "Attenuation of the connector at the fiber's beginning";
}
leaf conn-att-out {
type tip-pe:db-ratio {
range "0..100";
}
default 0;
description "Attenuation of the connector at the fiber's end";
}
container raman {
must "count(/tip-sim:simulation/tip-sim:nli/tip-sim:raman) = 1" {
error-message "Raman-aware fiber requires a Raman-aware model in global simulation parameters";
}
must "count(deref(../type)/../tip-pe:raman-efficiency) > 0" {
error-message "Raman simulation requires specification of fiber's Raman efficiency in the equipment library";
}
presence "If present, activate Raman-aware modeling for this fiber";
description "Raman parameters: SRS awareness and explicit pumping";
leaf temperature {
type uint16 {
range 273..373;
}
units "K";
mandatory true;
description "Temperature of the fiber";
}
list pump {
key "frequency";
leaf frequency {
type tip-pe:frequency-raman-pump;
mandatory true;
description "Frequency of this Raman pump laser";
}
leaf power {
type tip-pe:power;
mandatory true;
description "Pumping power";
}
leaf direction {
type enumeration {
enum co-propagating {
description "Co-propagating Raman pump pumps the power in the same direction as the carried optical signal payload";
}
enum counter-propagating {
description "Coounter-propagating Raman pump pumps the power in the opposite direction to the carried optical signal payload";
}
}
mandatory true;
description "Direction of propagation of this Raman pump";
}
description "Raman pump lasers";
}
}
}
}
case patch {
container patch {
must "count(deref(../nt:source/nt:source-node)) = 1" {
error-message "ietf-network-topology:source/source-node must point to a defined node";
}
must "count(deref(../nt:destination/nt:dest-node)) = 1" {
error-message "ietf-network-topology:destination/dest-node must point to a defined node";
}
// FIXME: check booster/preamp restrictions for ROADMs
description "Direct connection between network elements
A direct patch cord is a special case of fiber. It is assumed to be very short (a hundred meters at most) so that the
effect of NLI is limited, and that there's negligible attenuation.";
leaf roadm-target-egress-per-channel-power {
when "count(deref(../../nt:source/nt:source-node)/../roadm) > 0";
type tip-pe:power;
description "Per-channel tar egress power for signals exiting the ROADM over this link";
}
}
}
}
}
augment "/nw:networks/nw:network/nw:node" {
when "../nw:network-types/tip-topo:photonic-topology";
description "Optical elements within a network";
choice element {
mandatory true;
description "A physical instance of something";
case amplifier-placeholder {
leaf amplifier-placeholder {
type empty;
mandatory true;
description "Intent to place an amplifier, to be replaced by GNPy's autodesign with a specific model";
}
}
case amplifier {
container amplifier {
description "Amplifier";
leaf model {
type leafref {
path "/tip-pe:amplifier/tip-pe:type";
}
mandatory true;
description "Amplifier model cross-reference";
}
leaf gain-target {
type tip-pe:gain;
description "Desired gain of the amplifier
If not set, GNPy will try to find an optimal operating point.";
}
leaf out-voa-target {
// when "deref(../model)/has-output-voa"; FIXME: implement this
type tip-pe:db-ratio;
description "Output VOA setting
If not set, GNPy will try to find an optimal operating point -- which means operating the EDFA at its highest gain
for the lowest NF, and using the output VOA to compensate.";
}
leaf tilt-target {
type tip-pe:db-ratio;
// FIXME: make this available only when the amplifier model supports tilt settings
description "Desired tilt of the amplifier";
}
leaf delta-p {
type tip-pe:db-ratio;
description "FIXME: GNPy magic parameter."; // FIXME: describe this
}
}
}
case attenuator {
container attenuator {
description "Excessive attenuation
Use this construct for slicing together longer segments of fiber. For shorter connections,
use an `nt:link` with a `patch`. Do not put an `attenuator` in between of two `nt:link`, `patch` connections.";
leaf attenuation {
type tip-pe:db-ratio;
default 0;
description "Attenuator loss";
}
}
}
case transceiver {
container transceiver {
description "Transceiver";
leaf model {
type leafref {
path "/tip-pe:transceiver/tip-pe:type";
}
mandatory true;
description "Transceiver model, a cross-reference to the equipment library";
}
}
}
case roadm {
container roadm {
description "ROADM";
leaf model {
type leafref {
path "/tip-pe:roadm/tip-pe:type";
}
mandatory true;
description "ROADM model, a cross-reference to the equipment library";
}
leaf target-egress-per-channel-power {
type tip-pe:power;
description "Per-channel target egress power for signals exiting the ROADM
This can be overriden on a per-link basis via patch/roadm-target-egress-per-channel-power.";
}
}
}
}
}
}

55
gnpy/yang/yanglib.json Normal file
View File

@@ -0,0 +1,55 @@
{
"ietf-yang-library:modules-state": {
"module-set-id": "",
"module": [
{
"name": "ietf-inet-types",
"revision": "2013-07-15",
"namespace": "urn:ietf:params:xml:ns:yang:ietf-inet-types",
"conformance-type": "import"
},
{
"name": "ietf-yang-types",
"revision": "2013-07-15",
"namespace": "urn:ietf:params:xml:ns:yang:ietf-yang-types",
"conformance-type": "import"
},
{
"name": "ietf-network-topology",
"revision": "2018-02-26",
"namespace": "urn:ietf:params:xml:ns:yang:ietf-network-topology",
"conformance-type": "implement"
},
{
"name": "ietf-network",
"revision": "2018-02-26",
"namespace": "urn:ietf:params:xml:ns:yang:ietf-network",
"conformance-type": "implement"
},
{
"name": "tip-photonic-equipment",
"revision": "2020-09-01",
"namespace": "https://oopt.telecominfraproject.com/yang/equipment",
"conformance-type": "implement"
},
{
"name": "tip-photonic-topology",
"revision": "2020-09-01",
"namespace": "https://oopt.telecominfraproject.com/yang/topology",
"conformance-type": "implement"
},
{
"name": "tip-photonic-simulation",
"revision": "2020-09-01",
"namespace": "https://oopt.telecominfraproject.com/yang/simulation",
"conformance-type": "implement"
},
{
"name": "tip-onos-topology",
"revision": "2021-06-06",
"namespace": "https://oopt.telecominfraproject.com/yang/onos-topology",
"conformance-type": "implement"
}
]
}
}

View File

@@ -1,7 +1,10 @@
flask>=2.0.1,<3
matplotlib>=3.3.3,<4
networkx>=2.5,<3
numpy>=1.19.4,<2
pandas>=1.1.5,<2
pbr>=5.5.1,<6
pyang>=2.4.0,<3
scipy>=1.5.4,<2
xlrd>=1.2.0,<2
yangson>=1.4.8,<2

View File

@@ -10,7 +10,7 @@ home-page = https://github.com/Telecominfraproject/oopt-gnpy
project_urls =
Bug Tracker = https://github.com/Telecominfraproject/oopt-gnpy/issues
Documentation = https://gnpy.readthedocs.io/
python-requires = >=3.6
python-requires = >=3.8
classifier =
Development Status :: 5 - Production/Stable
Intended Audience :: Developers
@@ -20,8 +20,6 @@ classifier =
Natural Language :: English
Programming Language :: Python
Programming Language :: Python :: 3 :: Only
Programming Language :: Python :: 3.6
Programming Language :: Python :: 3.7
Programming Language :: Python :: 3.8
Programming Language :: Python :: 3.9
Programming Language :: Python :: Implementation :: CPython
@@ -52,3 +50,4 @@ 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
gnpy-convert-to-yang = gnpy.tools.cli_examples:convert_to_yang

View File

@@ -34,6 +34,7 @@
"path-route-object": {
"index": 0,
"num-unnum-hop": {
"gnpy-node-type": "transceiver",
"node-id": "trx Lorient_KMA",
"link-tp-id": "trx Lorient_KMA"
}
@@ -61,6 +62,7 @@
"path-route-object": {
"index": 3,
"num-unnum-hop": {
"gnpy-node-type": "ROADM",
"node-id": "roadm Lorient_KMA",
"link-tp-id": "roadm Lorient_KMA"
}
@@ -79,6 +81,7 @@
"path-route-object": {
"index": 5,
"num-unnum-hop": {
"gnpy-node-type": "EDFA",
"node-id": "east edfa in Lorient_KMA to Vannes_KBE",
"link-tp-id": "east edfa in Lorient_KMA to Vannes_KBE"
}
@@ -115,6 +118,7 @@
"path-route-object": {
"index": 9,
"num-unnum-hop": {
"gnpy-node-type": "EDFA",
"node-id": "west edfa in Vannes_KBE to Lorient_KMA",
"link-tp-id": "west edfa in Vannes_KBE to Lorient_KMA"
}
@@ -133,6 +137,7 @@
"path-route-object": {
"index": 11,
"num-unnum-hop": {
"gnpy-node-type": "ROADM",
"node-id": "roadm Vannes_KBE",
"link-tp-id": "roadm Vannes_KBE"
}
@@ -151,6 +156,7 @@
"path-route-object": {
"index": 13,
"num-unnum-hop": {
"gnpy-node-type": "transceiver",
"node-id": "trx Vannes_KBE",
"link-tp-id": "trx Vannes_KBE"
}
@@ -211,6 +217,7 @@
"path-route-object": {
"index": 0,
"num-unnum-hop": {
"gnpy-node-type": "transceiver",
"node-id": "trx Brest_KLA",
"link-tp-id": "trx Brest_KLA"
}
@@ -238,6 +245,7 @@
"path-route-object": {
"index": 3,
"num-unnum-hop": {
"gnpy-node-type": "ROADM",
"node-id": "roadm Brest_KLA",
"link-tp-id": "roadm Brest_KLA"
}
@@ -256,6 +264,7 @@
"path-route-object": {
"index": 5,
"num-unnum-hop": {
"gnpy-node-type": "EDFA",
"node-id": "east edfa in Brest_KLA to Morlaix",
"link-tp-id": "east edfa in Brest_KLA to Morlaix"
}
@@ -328,6 +337,7 @@
"path-route-object": {
"index": 13,
"num-unnum-hop": {
"gnpy-node-type": "EDFA",
"node-id": "west edfa in Lannion_CAS to Morlaix",
"link-tp-id": "west edfa in Lannion_CAS to Morlaix"
}
@@ -346,6 +356,7 @@
"path-route-object": {
"index": 15,
"num-unnum-hop": {
"gnpy-node-type": "ROADM",
"node-id": "roadm Lannion_CAS",
"link-tp-id": "roadm Lannion_CAS"
}
@@ -364,6 +375,7 @@
"path-route-object": {
"index": 17,
"num-unnum-hop": {
"gnpy-node-type": "EDFA",
"node-id": "east edfa in Lannion_CAS to Corlay",
"link-tp-id": "east edfa in Lannion_CAS to Corlay"
}
@@ -472,6 +484,7 @@
"path-route-object": {
"index": 29,
"num-unnum-hop": {
"gnpy-node-type": "EDFA",
"node-id": "west edfa in Lorient_KMA to Loudeac",
"link-tp-id": "west edfa in Lorient_KMA to Loudeac"
}
@@ -490,6 +503,7 @@
"path-route-object": {
"index": 31,
"num-unnum-hop": {
"gnpy-node-type": "ROADM",
"node-id": "roadm Lorient_KMA",
"link-tp-id": "roadm Lorient_KMA"
}
@@ -508,6 +522,7 @@
"path-route-object": {
"index": 33,
"num-unnum-hop": {
"gnpy-node-type": "EDFA",
"node-id": "east edfa in Lorient_KMA to Vannes_KBE",
"link-tp-id": "east edfa in Lorient_KMA to Vannes_KBE"
}
@@ -544,6 +559,7 @@
"path-route-object": {
"index": 37,
"num-unnum-hop": {
"gnpy-node-type": "EDFA",
"node-id": "west edfa in Vannes_KBE to Lorient_KMA",
"link-tp-id": "west edfa in Vannes_KBE to Lorient_KMA"
}
@@ -562,6 +578,7 @@
"path-route-object": {
"index": 39,
"num-unnum-hop": {
"gnpy-node-type": "ROADM",
"node-id": "roadm Vannes_KBE",
"link-tp-id": "roadm Vannes_KBE"
}
@@ -580,6 +597,7 @@
"path-route-object": {
"index": 41,
"num-unnum-hop": {
"gnpy-node-type": "transceiver",
"node-id": "trx Vannes_KBE",
"link-tp-id": "trx Vannes_KBE"
}
@@ -640,6 +658,7 @@
"path-route-object": {
"index": 0,
"num-unnum-hop": {
"gnpy-node-type": "transceiver",
"node-id": "trx Lannion_CAS",
"link-tp-id": "trx Lannion_CAS"
}
@@ -667,6 +686,7 @@
"path-route-object": {
"index": 3,
"num-unnum-hop": {
"gnpy-node-type": "ROADM",
"node-id": "roadm Lannion_CAS",
"link-tp-id": "roadm Lannion_CAS"
}
@@ -685,6 +705,7 @@
"path-route-object": {
"index": 5,
"num-unnum-hop": {
"gnpy-node-type": "EDFA",
"node-id": "east edfa in Lannion_CAS to Stbrieuc",
"link-tp-id": "east edfa in Lannion_CAS to Stbrieuc"
}
@@ -721,6 +742,7 @@
"path-route-object": {
"index": 9,
"num-unnum-hop": {
"gnpy-node-type": "EDFA",
"node-id": "east edfa in Stbrieuc to Rennes_STA",
"link-tp-id": "east edfa in Stbrieuc to Rennes_STA"
}
@@ -757,6 +779,7 @@
"path-route-object": {
"index": 13,
"num-unnum-hop": {
"gnpy-node-type": "EDFA",
"node-id": "west edfa in Rennes_STA to Stbrieuc",
"link-tp-id": "west edfa in Rennes_STA to Stbrieuc"
}
@@ -775,6 +798,7 @@
"path-route-object": {
"index": 15,
"num-unnum-hop": {
"gnpy-node-type": "ROADM",
"node-id": "roadm Rennes_STA",
"link-tp-id": "roadm Rennes_STA"
}
@@ -793,6 +817,7 @@
"path-route-object": {
"index": 17,
"num-unnum-hop": {
"gnpy-node-type": "transceiver",
"node-id": "trx Rennes_STA",
"link-tp-id": "trx Rennes_STA"
}
@@ -853,6 +878,7 @@
"path-route-object": {
"index": 0,
"num-unnum-hop": {
"gnpy-node-type": "transceiver",
"node-id": "trx Rennes_STA",
"link-tp-id": "trx Rennes_STA"
}
@@ -880,6 +906,7 @@
"path-route-object": {
"index": 3,
"num-unnum-hop": {
"gnpy-node-type": "ROADM",
"node-id": "roadm Rennes_STA",
"link-tp-id": "roadm Rennes_STA"
}
@@ -898,6 +925,7 @@
"path-route-object": {
"index": 5,
"num-unnum-hop": {
"gnpy-node-type": "EDFA",
"node-id": "east edfa in Rennes_STA to Ploermel",
"link-tp-id": "east edfa in Rennes_STA to Ploermel"
}
@@ -934,6 +962,7 @@
"path-route-object": {
"index": 9,
"num-unnum-hop": {
"gnpy-node-type": "EDFA",
"node-id": "east edfa in Ploermel to Vannes_KBE",
"link-tp-id": "east edfa in Ploermel to Vannes_KBE"
}
@@ -970,6 +999,7 @@
"path-route-object": {
"index": 13,
"num-unnum-hop": {
"gnpy-node-type": "EDFA",
"node-id": "west edfa in Vannes_KBE to Ploermel",
"link-tp-id": "west edfa in Vannes_KBE to Ploermel"
}
@@ -988,6 +1018,7 @@
"path-route-object": {
"index": 15,
"num-unnum-hop": {
"gnpy-node-type": "ROADM",
"node-id": "roadm Vannes_KBE",
"link-tp-id": "roadm Vannes_KBE"
}
@@ -1006,6 +1037,7 @@
"path-route-object": {
"index": 17,
"num-unnum-hop": {
"gnpy-node-type": "EDFA",
"node-id": "east edfa in Vannes_KBE to Lorient_KMA",
"link-tp-id": "east edfa in Vannes_KBE to Lorient_KMA"
}
@@ -1042,6 +1074,7 @@
"path-route-object": {
"index": 21,
"num-unnum-hop": {
"gnpy-node-type": "EDFA",
"node-id": "west edfa in Lorient_KMA to Vannes_KBE",
"link-tp-id": "west edfa in Lorient_KMA to Vannes_KBE"
}
@@ -1060,6 +1093,7 @@
"path-route-object": {
"index": 23,
"num-unnum-hop": {
"gnpy-node-type": "ROADM",
"node-id": "roadm Lorient_KMA",
"link-tp-id": "roadm Lorient_KMA"
}
@@ -1078,6 +1112,7 @@
"path-route-object": {
"index": 25,
"num-unnum-hop": {
"gnpy-node-type": "EDFA",
"node-id": "east edfa in Lorient_KMA to Loudeac",
"link-tp-id": "east edfa in Lorient_KMA to Loudeac"
}
@@ -1186,6 +1221,7 @@
"path-route-object": {
"index": 37,
"num-unnum-hop": {
"gnpy-node-type": "EDFA",
"node-id": "west edfa in Lannion_CAS to Corlay",
"link-tp-id": "west edfa in Lannion_CAS to Corlay"
}
@@ -1204,6 +1240,7 @@
"path-route-object": {
"index": 39,
"num-unnum-hop": {
"gnpy-node-type": "ROADM",
"node-id": "roadm Lannion_CAS",
"link-tp-id": "roadm Lannion_CAS"
}
@@ -1222,6 +1259,7 @@
"path-route-object": {
"index": 41,
"num-unnum-hop": {
"gnpy-node-type": "transceiver",
"node-id": "trx Lannion_CAS",
"link-tp-id": "trx Lannion_CAS"
}
@@ -1282,6 +1320,7 @@
"path-route-object": {
"index": 0,
"num-unnum-hop": {
"gnpy-node-type": "transceiver",
"node-id": "trx Rennes_STA",
"link-tp-id": "trx Rennes_STA"
}
@@ -1309,6 +1348,7 @@
"path-route-object": {
"index": 3,
"num-unnum-hop": {
"gnpy-node-type": "ROADM",
"node-id": "roadm Rennes_STA",
"link-tp-id": "roadm Rennes_STA"
}
@@ -1327,6 +1367,7 @@
"path-route-object": {
"index": 5,
"num-unnum-hop": {
"gnpy-node-type": "EDFA",
"node-id": "east edfa in Rennes_STA to Stbrieuc",
"link-tp-id": "east edfa in Rennes_STA to Stbrieuc"
}
@@ -1363,6 +1404,7 @@
"path-route-object": {
"index": 9,
"num-unnum-hop": {
"gnpy-node-type": "EDFA",
"node-id": "west edfa in Stbrieuc to Rennes_STA",
"link-tp-id": "west edfa in Stbrieuc to Rennes_STA"
}
@@ -1399,6 +1441,7 @@
"path-route-object": {
"index": 13,
"num-unnum-hop": {
"gnpy-node-type": "EDFA",
"node-id": "west edfa in Lannion_CAS to Stbrieuc",
"link-tp-id": "west edfa in Lannion_CAS to Stbrieuc"
}
@@ -1417,6 +1460,7 @@
"path-route-object": {
"index": 15,
"num-unnum-hop": {
"gnpy-node-type": "ROADM",
"node-id": "roadm Lannion_CAS",
"link-tp-id": "roadm Lannion_CAS"
}
@@ -1435,6 +1479,7 @@
"path-route-object": {
"index": 17,
"num-unnum-hop": {
"gnpy-node-type": "transceiver",
"node-id": "trx Lannion_CAS",
"link-tp-id": "trx Lannion_CAS"
}

View File

@@ -16,6 +16,15 @@ SRC_ROOT = Path(__file__).parent.parent
['gnpy/example-data/raman_edfa_example_network.json', '--sim', 'gnpy/example-data/sim_params.json', '--show-channels', ]),
('openroadm-Stockholm-Gothenburg', transmission_main_example,
['-e', 'gnpy/example-data/eqpt_config_openroadm.json', 'gnpy/example-data/Sweden_OpenROADM_example_network.json', ]),
pytest.param('transmission_main_example', transmission_main_example,
['--from-yang', 'tests/yang/converted/edfa_example.json'],
id='yang-transmission_main_example-edfa_example'),
pytest.param('openroadm-Stockholm-Gothenburg', transmission_main_example,
['--from-yang', 'tests/yang/converted/Sweden_OpenROADM_example.json'],
id='yang-openroadm-sweden',
# FIXME: investigate this
marks=pytest.mark.xfail(reason='Different output: 0.01dB in one NF, and 0.03ps/nm in the final CD'),
),
))
def test_example_invocation(capfdbinary, output, handler, args):
'''Make sure that our examples produce useful output'''
@@ -23,7 +32,7 @@ def test_example_invocation(capfdbinary, output, handler, args):
expected = open(SRC_ROOT / 'tests' / 'invocation' / output, mode='rb').read()
handler(args)
captured = capfdbinary.readouterr()
assert captured.out == expected
assert captured.out.decode('utf-8') == expected.decode('utf-8')
assert captured.err == b''

View File

@@ -243,36 +243,8 @@ def test_csv_response_generation(tmpdir, json_input):
print(type(list(resp[column])[-1]))
def compare_response(exp_resp, act_resp):
""" False if the keys are different in the nested dicts as well
"""
print(exp_resp)
print(act_resp)
test = True
for key in act_resp.keys():
if key not in exp_resp.keys():
print(f'{key} is not expected')
return False
if isinstance(act_resp[key], dict):
test = compare_response(exp_resp[key], act_resp[key])
if test:
for key in exp_resp.keys():
if key not in act_resp.keys():
print(f'{key} is expected')
return False
if isinstance(exp_resp[key], dict):
test = compare_response(exp_resp[key], act_resp[key])
# at this point exp_resp and act_resp have the same keys. Check if their values are the same
for key in act_resp.keys():
if not isinstance(act_resp[key], dict):
if exp_resp[key] != act_resp[key]:
print(f'expected value :{exp_resp[key]}\n actual value: {act_resp[key]}')
return False
return test
# test json answers creation
@pytest.mark.xfail # FIXME: regenerate that file
@pytest.mark.parametrize('xls_input, expected_response_file', {
DATA_DIR / 'testTopology.xls': DATA_DIR / 'testTopology_response.json',
}.items())
@@ -327,7 +299,7 @@ def test_json_response_generation(xls_input, expected_response_file):
if i == 2:
# compare response must be False because z-a metric is missing
# (request with bidir option to cover bidir case)
assert not compare_response(expected['response'][i], response)
assert expected['response'][i] != response
print(f'response {response["response-id"]} should not match')
expected['response'][2]['path-properties']['z-a-path-metric'] = [
{'metric-type': 'SNR-bandwidth', 'accumulative-value': 22.809999999999999},
@@ -338,8 +310,7 @@ def test_json_response_generation(xls_input, expected_response_file):
{'metric-type': 'path_bandwidth', 'accumulative-value': 60000000000.0}]
# test should be OK now
else:
assert compare_response(expected['response'][i], response)
print(f'response {response["response-id"]} is not correct')
assert expected['response'][i] == response
# test the correspondance names dict in case of excel input
# test that using the created json network still works with excel input

View File

@@ -0,0 +1,120 @@
# SPDX-License-Identifier: BSD-3-Clause
#
# Tests for YANG models of GNPy
#
# Copyright (C) 2020 Telecom Infra Project and GNPy contributors
# see LICENSE.md for a list of contributors
#
from gnpy.tools.json_io import load_equipment, load_network
from gnpy.yang import external_path, model_path
from gnpy.yang.io import create_datamodel, load_from_yang, save_to_json
from pathlib import Path
from typing import List
import pytest
import subprocess
import json
SRC_ROOT = Path(__file__).parent.parent
def _get_basename(filename: Path) -> str:
try:
return filename.name
except AttributeError:
return filename
@pytest.mark.parametrize("yang_model", external_path().glob('*.yang'), ids=_get_basename)
def test_lint_external_yang(yang_model):
'''Run a basic linter on all third-party models'''
_validate_yang_model(yang_model, [])
@pytest.mark.parametrize("yang_model", model_path().glob('*.yang'), ids=_get_basename)
def test_lint_gnpy_yang(yang_model):
'''Run a linter on GNPy's YANG models'''
_validate_yang_model(yang_model, ('--canonical', '--strict', '--lint'))
def _validate_yang_model(filename: Path, options: List[str]):
'''Run actual validation'''
# I would have loved to use pyang programatically from here, but it seems that the API is really designed
# around that interactive use case where code just expects an OptParser as a part of the library context,
# etc.
# Given that I'm only interested in a simple pass/fail scenario, let's just invoke the linter as a standalone
# process and check if it screams.
proc = subprocess.run(
('pyang', '-p', ':'.join((str(external_path()), str(model_path()))), *options, filename),
stdout=subprocess.PIPE, stderr=subprocess.PIPE, check=True, universal_newlines=True)
assert proc.stderr == ''
assert proc.stdout == ''
@pytest.fixture
def _yangson_datamodel():
return create_datamodel
@pytest.mark.parametrize("filename",
list((Path(__file__).parent / 'yang').glob('*.json')) + [
SRC_ROOT / 'gnpy' / 'example-data' / '2021-demo' / 'yang-without-onos.json',
SRC_ROOT / 'gnpy' / 'example-data' / '2021-demo' / 'yang.json',
],
ids=_get_basename)
def test_validate_yang_data(_yangson_datamodel, filename: Path):
'''Validate a JSON file against our YANG models'''
dm = _yangson_datamodel()
with open(filename, 'r') as f:
raw_json = json.load(f)
data = dm.from_raw(raw_json)
data.validate()
@pytest.mark.parametrize("expected_file, equipment_file, topology_file", (
("edfa_example.json", "gnpy/example-data/eqpt_config.json", "gnpy/example-data/edfa_example_network.json"),
("Sweden_OpenROADM_example.json", "gnpy/example-data/eqpt_config_openroadm.json", "gnpy/example-data/Sweden_OpenROADM_example_network.json"),
))
def test_conversion_to_yang(expected_file, equipment_file, topology_file):
'''Conversion from legacy JSON to self-contained YANG data'''
equipment = load_equipment(SRC_ROOT / equipment_file)
network = load_network(SRC_ROOT / topology_file, equipment)
data = save_to_json(equipment, network)
serialized = json.dumps(data, indent=2) + '\n' # files were generated via print(), hence a newline
expected = open(SRC_ROOT / 'tests' / 'yang' / 'converted' / expected_file, mode='rb').read().decode('utf-8')
assert serialized == expected
y_equipment, y_network = load_from_yang(data)
assert set(equipment.keys()) == set(y_equipment.keys())
for meta in ['Span', 'SI', 'Edfa', 'Fiber', 'RamanFiber', 'Roadm', 'Transceiver']:
assert equipment[meta].keys() == y_equipment[meta].keys()
for name in equipment[meta].keys():
print(f'{meta}: {name}')
thing = equipment[meta][name]
y_thing = y_equipment[meta][name]
assert type(thing) == type(y_thing)
assert set(thing.__dict__.keys()) == set(y_thing.__dict__.keys())
# FIXME: some bits are missing, some are numerically different
# for attr in thing.__dict__:
# try:
# assert getattr(thing, attr) == getattr(y_thing, attr)
# except AssertionError:
# print(f'!!! different attribute: {meta}: {name} -> {attr}')
# raise
# network nodes:
# the order is unstable, and there "might" be duplicate UIDs
len(network.nodes()) == len(y_network.nodes())
assert set(n.uid for n in network.nodes()) == set(n.uid for n in y_network.nodes())
# edges are simple, just check the UIDs and cardinality
assert set((e[0].uid, e[1].uid) for e in network.edges()) == set((e[0].uid, e[1].uid) for e in y_network.edges())
assert len(network.edges()) == len(y_network.edges())
# for orig_node in network.nodes():
# y_node = next(x for x in y_network.nodes() if x.uid == orig_node.uid)
# # FIXME: fails on metadata...
# assert orig_node.to_json == y_node.to_json

1
tests/yang/00-empty.json Normal file
View File

@@ -0,0 +1 @@
{}

638
tests/yang/01-dummy.json Normal file
View File

@@ -0,0 +1,638 @@
{
"tip-photonic-equipment:amplifier": [
{
"type": "fixed-27",
"gain-min": "27",
"gain-flatmax": "27",
"max-power-out": "21.9",
"polynomial-NF": {
"a": "0",
"b": "0",
"c": "0",
"d": "4.9"
}
},
{
"type": "fixed-22",
"gain-min": "22",
"gain-flatmax": "22",
"max-power-out": "21.9",
"polynomial-NF": {
"a": "0",
"b": "0",
"c": "0",
"d": "4.8"
}
},
{
"type": "vg-15-30",
"gain-min": "15",
"gain-flatmax": "26",
"dynamic-gain-tilt": [
{
"frequency": "191.35",
"dynamic-gain-tilt": "0"
},
{
"frequency": "196.1",
"dynamic-gain-tilt": "2.4"
}
],
"max-power-out": "23",
"min-max-NF": {
"nf-min": "6.0",
"nf-max": "10.0"
}
},
{
"type": "vg-8-16",
"gain-min": "8",
"gain-flatmax": "15",
"max-power-out": "23",
"min-max-NF": {
"nf-min": "6.5",
"nf-max": "11.0"
}
},
{
"type": "dual--vg-15-30--vg-8-16",
"gain-min": "25.0",
"composite": {
"preamp": "vg-15-30",
"booster": "vg-8-16"
}
},
{
"type": "Juniper-BoosterHG",
"gain-min": "10",
"gain-flatmax": "25",
"max-power-out": "21",
"frequency-min": "191.35",
"frequency-max": "196.1",
"polynomial-NF": {
"a": "0.0008",
"b": "0.0272",
"c": "-0.2249",
"d": "6.4902"
}
}
],
"tip-photonic-equipment:fiber": [
{
"type": "SSMF",
"chromatic-dispersion": "16.7",
"gamma": "1.27",
"pmd-coefficient": "0.0400028124",
"raman-efficiency": [
{
"delta-frequency": "0.0",
"cr": "0"
},
{
"delta-frequency": "0.5",
"cr": "9.4e-06"
},
{
"delta-frequency": "1.0",
"cr": "2.92e-05"
},
{
"delta-frequency": "1.5",
"cr": "4.88e-05"
},
{
"delta-frequency": "2.0",
"cr": "6.82e-05"
},
{
"delta-frequency": "2.5",
"cr": "8.31e-05"
},
{
"delta-frequency": "3.0",
"cr": "9.4e-05"
},
{
"delta-frequency": "3.5",
"cr": "0.0001014"
},
{
"delta-frequency": "4.0",
"cr": "0.0001069"
},
{
"delta-frequency": "4.5",
"cr": "0.0001119"
},
{
"delta-frequency": "5.0",
"cr": "0.0001217"
},
{
"delta-frequency": "5.5",
"cr": "0.0001268"
},
{
"delta-frequency": "6.0",
"cr": "0.0001365"
},
{
"delta-frequency": "6.5",
"cr": "0.000149"
},
{
"delta-frequency": "7.0",
"cr": "0.000165"
},
{
"delta-frequency": "7.5",
"cr": "0.000181"
},
{
"delta-frequency": "8.0",
"cr": "0.0001977"
},
{
"delta-frequency": "8.5",
"cr": "0.0002192"
},
{
"delta-frequency": "9.0",
"cr": "0.0002469"
},
{
"delta-frequency": "9.5",
"cr": "0.0002749"
},
{
"delta-frequency": "10.0",
"cr": "0.0002999"
},
{
"delta-frequency": "10.5",
"cr": "0.0003206"
},
{
"delta-frequency": "11.0",
"cr": "0.0003405"
},
{
"delta-frequency": "11.5",
"cr": "0.0003592"
},
{
"delta-frequency": "12.0",
"cr": "0.000374"
},
{
"delta-frequency": "12.5",
"cr": "0.0003826"
},
{
"delta-frequency": "12.75",
"cr": "0.0003841"
},
{
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{
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{
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{
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{
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{
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{
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{
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{
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{
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{
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{
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}
]
},
{
"type": "NZDF",
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"gamma": "1.46",
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},
{
"type": "LOF",
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"gamma": "0.843",
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}
],
"tip-photonic-equipment:transceiver": [
{
"type": "Voyager",
"mode": [
{
"name": "DP-QPSK",
"bit-rate": 100,
"baud-rate": "32",
"required-osnr": "12",
"in-band-tx-osnr": "40",
"grid-spacing": "37.5",
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}
]
}
],
"tip-photonic-equipment:roadm": [
{
"type": "default",
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"target-channel-out-power": "-20",
"polarization-mode-dispersion": "0"
}
],
"ietf-network:networks": {
"network": [
{
"network-id": "TIP OOPT-PSE sample topology",
"network-types": {
"tip-photonic-topology:photonic-topology": {
}
},
"node": [
{
"node-id": "trx-1",
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}
},
{
"node-id": "trx-2",
"tip-photonic-topology:transceiver": {
"model": "Voyager"
}
},
{
"node-id": "edfa-A",
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"model": "fixed-22",
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"tilt-target": "10.0"
}
},
{
"node-id": "trx-100",
"tip-photonic-topology:transceiver": {
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}
},
{
"node-id": "trx-101",
"tip-photonic-topology:transceiver": {
"model": "Voyager"
}
},
{
"node-id": "trx-200",
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"model": "Voyager"
}
},
{
"node-id": "trx-201",
"tip-photonic-topology:transceiver": {
"model": "Voyager"
}
}
],
"ietf-network-topology:link": [
{
"link-id": "fiber trx-1 edfa-A",
"source": {
"source-node": "trx-1"
},
"destination": {
"dest-node": "edfa-A"
},
"tip-photonic-topology:fiber": {
"type": "SSMF",
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}
},
{
"link-id": "fiber edfa-A trx-2",
"source": {
"source-node": "edfa-A"
},
"destination": {
"dest-node": "trx-2"
},
"tip-photonic-topology:fiber": {
"type": "SSMF",
"length": "50"
}
},
{
"link-id": "tentative link for autodesign #1",
"source": {
"source-node": "trx-100"
},
"destination": {
"dest-node": "trx-101"
},
"tip-photonic-topology:tentative-link": {
"type": "SSMF",
"length": "200"
}
},
{
"link-id": "A Raman fiber",
"source": {
"source-node": "trx-200"
},
"destination": {
"dest-node": "trx-201"
},
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"type": "SSMF",
"length": "150",
"raman": {
"temperature": 293,
"pump": [
{
"frequency": "205.0",
"power": "0.2",
"direction": "counter-propagating"
},
{
"frequency": "201.0",
"power": "0.25",
"direction": "counter-propagating"
}
]
}
}
}
]
}
]
},
"tip-photonic-simulation:simulation": {
"autodesign": {
"power-adjustment-for-span-loss": {
"maximal-reduction": "-2.0",
"maximal-boost": "3.0",
"excursion-step-size": "0.5"
},
"gain-mode": [null]
},
"grid": {
"frequency-min": "191.8",
"frequency-max": "195.5",
"spacing": "50",
"baud-rate": "37.5",
"tx-roll-off": "0.5",
"tx-osnr": "40",
"power": "0"
},
"nli": {
"raman": {
}
}
}
}

135
tests/yang/02-simple.json Normal file
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@@ -0,0 +1,135 @@
{
"tip-photonic-equipment:amplifier": [
{
"type": "fixed-22",
"gain-min": "22",
"gain-flatmax": "22",
"max-power-out": "21.9",
"polynomial-NF": {
"a": "0",
"b": "0",
"c": "0",
"d": "4.8"
}
}
],
"tip-photonic-equipment:fiber": [
{
"type": "SSMF",
"chromatic-dispersion": "16.7",
"gamma": "1.27",
"pmd-coefficient": "0.0400028124"
}
],
"tip-photonic-equipment:transceiver": [
{
"type": "Voyager",
"mode": [
{
"name": "DP-QPSK",
"bit-rate": 100,
"baud-rate": "32.0",
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}
]
}
],
"tip-photonic-equipment:roadm": [
{
"type": "default",
"add-drop-osnr": "50.0",
"target-channel-out-power": "-20",
"polarization-mode-dispersion": "0"
}
],
"ietf-network:networks": {
"network": [
{
"network-id": "Two transponders, one EDFA, two fibers",
"network-types": {
"tip-photonic-topology:photonic-topology": {
}
},
"node": [
{
"node-id": "trx-1",
"tip-photonic-topology:transceiver": {
"model": "Voyager"
}
},
{
"node-id": "trx-2",
"tip-photonic-topology:transceiver": {
"model": "Voyager"
}
},
{
"node-id": "edfa-A",
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"tilt-target": "10.0"
}
}
],
"ietf-network-topology:link": [
{
"link-id": "fiber trx-1 edfa-1",
"source": {
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},
"destination": {
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},
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}
},
{
"link-id": "fiber trx-2",
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},
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},
"tip-photonic-topology:fiber": {
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}
}
]
}
]
},
"tip-photonic-simulation:simulation": {
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},
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}
}
},
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"tx-osnr": "40",
"power": "0"
}
}
}

File diff suppressed because it is too large Load Diff

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@@ -0,0 +1,771 @@
{
"tip-photonic-equipment:amplifier": [
{
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}
},
{
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}
},
{
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}
},
{
"type": "openroadm_ila_low_noise",
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"b": "-0.06221",
"c": "-0.5889",
"d": "37.62"
}
},
{
"type": "openroadm_ila_standard",
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}
},
{
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},
{
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},
{
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}
},
{
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},
{
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},
{
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{
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},
{
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}
},
{
"type": "hybrid_4pumps_lowgain",
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}
},
{
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}
},
{
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}
},
{
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}
}
],
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{
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"gamma": "1.46",
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},
{
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{
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},
{
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{
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{
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{
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{
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{
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{
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{
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{
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{
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{
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{
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{
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{
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{
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{
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{
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{
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{
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{
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{
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{
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{
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{
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{
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{
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{
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{
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{
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{
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{
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{
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},
{
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{
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},
{
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{
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{
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{
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{
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{
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{
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{
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},
{
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{
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},
{
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{
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},
{
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{
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},
{
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{
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{
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{
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},
{
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{
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{
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{
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{
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},
{
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},
{
"delta-frequency": "42.0",
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}
]
}
],
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{
"type": "vendorA_trx-type1",
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"frequency-max": "196.1",
"mode": [
{
"name": "mode 1",
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"baud-rate": "32.0",
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"grid-spacing": "37.5",
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"tip-photonic-simulation:cost": 1
},
{
"name": "mode 2",
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"baud-rate": "66.0",
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}
]
},
{
"type": "Voyager",
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{
"name": "mode 1",
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},
{
"name": "mode 3",
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"grid-spacing": "62.5",
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},
{
"name": "mode 2",
"bit-rate": 400,
"baud-rate": "66.0",
"required-osnr": "21.0",
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"grid-spacing": "75.0",
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"tip-photonic-simulation:cost": 1
},
{
"name": "mode 4",
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"baud-rate": "66.0",
"required-osnr": "16.0",
"in-band-tx-osnr": "40.0",
"grid-spacing": "75.0",
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}
]
}
],
"tip-photonic-equipment:roadm": [
{
"type": "default",
"add-drop-osnr": "38.0",
"polarization-mode-dispersion": "0.0",
"target-channel-out-power": "-20.0",
"compatible-preamp": [],
"compatible-booster": []
}
],
"tip-photonic-simulation:simulation": {
"grid": {
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"frequency-max": "195.1",
"spacing": "50.0",
"power": "0.0",
"tx-roll-off": "0.15",
"tx-osnr": "40.0",
"baud-rate": "32.0"
},
"autodesign": {
"allowed-inline-edfa": [
"std_high_gain",
"std_medium_gain",
"std_low_gain",
"hybrid_4pumps_lowgain",
"hybrid_4pumps_mediumgain",
"medium+low_gain"
],
"power-adjustment-for-span-loss": {
"maximal-reduction": "-2.0",
"maximal-boost": "3.0",
"excursion-step-size": "0.5"
},
"power-mode": {
"power-sweep": {
"start": "0.0",
"stop": "0.0",
"step-size": "1.0"
}
}
},
"system-margin": "2.0"
},
"ietf-network:networks": {
"network": [
{
"network-id": "GNPy",
"network-types": {
"tip-photonic-topology:photonic-topology": {}
},
"node": [
{
"node-id": "Site_A",
"tip-photonic-topology:transceiver": {
"model": "vendorA_trx-type1"
}
},
{
"node-id": "Edfa1",
"tip-photonic-topology:amplifier": {
"model": "std_low_gain",
"gain-target": "17.0",
"tilt-target": "0.0",
"out-voa-target": "0.0"
}
},
{
"node-id": "Site_B",
"tip-photonic-topology:transceiver": {
"model": "vendorA_trx-type1"
}
}
],
"ietf-network-topology:link": [
{
"link-id": "Span1",
"source": {
"source-node": "Site_A"
},
"destination": {
"dest-node": "Edfa1"
},
"tip-photonic-topology:fiber": {
"type": "SSMF",
"length": "80.0",
"attenuation-in": "0.0",
"conn-att-in": "0.5",
"conn-att-out": "0.5"
}
},
{
"link-id": "patch{Edfa1, Site_B}",
"source": {
"source-node": "Edfa1"
},
"destination": {
"dest-node": "Site_B"
},
"tip-photonic-topology:patch": {}
}
]
}
]
}
}