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Merge branch 'develop' into path_disjunction solving conflict

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Signed-off-by: EstherLerouzic <esther.lerouzic@orange.com>
This commit is contained in:
EstherLerouzic
2018-10-30 16:01:06 +00:00
parent af9ba2750d e94fd9590e
commit 86c79c7c60
14 changed files with 62 additions and 63 deletions
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29
README.rst
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@@ -9,7 +9,7 @@ planning and optimization tools in real-world mesh optical networks.**
`gnpy <http://github.com/telecominfraproject/oopt-gnpy>`__ is:
- a sponsored project of the `OOPT/PSE <https://telecominfraproject.com/open-optical-packet-transport/>`_ working group of the `Telecom Infra Project <http://telecominfraproject.com>`_.
- a sponsored project of the `OOPT/PSE <https://telecominfraproject.com/open-optical-packet-transport/>`_ working group of the `Telecom Infra Project <http://telecominfraproject.com>`_
- fully community-driven, fully open source library
- driven by a consortium of operators, vendors, and academic researchers
- intended for rapid development of production-grade route planning tools
@@ -135,8 +135,8 @@ By default, this script operates on a single span network defined in
`examples/edfa_example_network.json <examples/edfa_example_network.json>`_
You can specify a different network at the command line as follows. For
example, to use the CORONET Continental US (CONUS) network defined in
`examples/coronet_conus_example.json <examples/coronet_conus_example.json>`_:
example, to use the CORONET Global network defined in
`examples/CORONET_Global_Topology.json <examples/CORONET_Global_Topology.json>`_:
.. code-block:: shell
@@ -150,10 +150,10 @@ further instructions on how to prepare the Excel input file, see
`Excel_userguide.rst <Excel_userguide.rst>`_.
The main transmission example will calculate the average signal OSNR and SNR
across 93 network elements (transceiver, ROADMs, fibers, and amplifiers)
between two transceivers selected by the user. (By default, for the CORONET US
network, it will show the transmission of spectral information between Abilene,
Texas and Albany, New York.)
across network elements (transceiver, ROADMs, fibers, and amplifiers)
between two transceivers selected by the user. (By default, for the CORONET Global
network, it will show the transmission of spectral information between Albuquerque,
New Mexico and Atlanta, Georgia.)
This script calculates the average signal OSNR = |OSNR| and SNR = |SNR|.
@@ -209,7 +209,7 @@ The fiber library currently describes SSMF but additional fiber types can be ent
+----------------------+-----------+-----------------------------------------+
| field | type | description |
+======================+===========+=========================================+
| `type_variety` | (string) | a unique name to ID the amplifier in the|
| `type_variety` | (string) | a unique name to ID the fiber in the |
| | | JSON or Excel template topology input |
| | | file |
+----------------------+-----------+-----------------------------------------+
@@ -226,7 +226,7 @@ path_request_run.py routine.
+----------------------+-----------+-----------------------------------------+
| field | type | description |
+======================+===========+=========================================+
| `type_variety` | (string) | a unique name to ID the amplifier in |
| `type_variety` | (string) | a unique name to ID the transceiver in |
| | | the JSON or Excel template topology |
| | | input file |
+----------------------+-----------+-----------------------------------------+
@@ -252,7 +252,7 @@ The modes are defined as follows:
+----------------------+-----------+-----------------------------------------+
| `bit_rate` | (number) | in bit/s |
+----------------------+-----------+-----------------------------------------+
| `roll_off` | (number) | |
| `roll_off` | (number) | Not used. |
+----------------------+-----------+-----------------------------------------+
Simulation parameters are defined as follows.
@@ -269,8 +269,8 @@ For amplifiers defined in the topology JSON input but whose gain = 0
(placeholder), auto-design will set its gain automatically: see `power_mode` in
the `Spans` library to find out how the gain is calculated.
Span configuration is performed as followws. It is not a list (which may change
in later releases,) and the user can only modify the value of existing
Span configuration is performed as follows. It is not a list (which may change
in later releases) and the user can only modify the value of existing
parameters:
+------------------------+-----------+---------------------------------------------+
@@ -470,11 +470,6 @@ dBm/channel. These are not yet parametrized but can be modified directly in the
script (via the SpectralInformation structure) to accomodate any baud rate,
spacing, power or channel count demand.
The amplifier's gain is set to exactly compensate for the loss in each network
element. The amplifier is currently defined with gain range of 15 dB to 25 dB
and 21 dBm max output power. Ripple and NF models are defined in
`examples/std_medium_gain_advanced_config.json <examples/std_medium_gain_advanced_config.json>`_
Use `examples/path_requests_run.py <examples/path_requests_run.py>`_ to run multiple optimizations as follows:
.. code-block:: shell

2
examples/create_eqpt_sheet.py
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@@ -70,7 +70,7 @@ def read_excel(input_filename):
def create_eqt_template(links,nodes, links_by_src , links_by_dest, input_filename):
output_filename = f'{input_filename[:-4]}_eqpt_sheet.txt'
with open(output_filename,'w') as my_file :
with open(output_filename, 'w', encoding='utf-8') as my_file:
# print header similar to excel
my_file.write('OPTIONAL\n\n\n\
\t\tNode a egress amp (from a to z)\t\t\t\t\tNode a ingress amp (from z to a) \

10
examples/eqpt_config.json
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@@ -64,6 +64,16 @@
"type_variety": "SSMF",
"dispersion": 1.67e-05,
"gamma": 0.00127
},
{
"type_variety": "NZDF",
"dispersion": 0.5e-05,
"gamma": 0.00146
},
{
"type_variety": "LOF",
"dispersion": 2.2e-05,
"gamma": 0.000843
}
],
"Spans":[{

4
examples/path_requests_run.py
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@@ -117,7 +117,7 @@ def load_requests(filename,eqpt_filename):
logger.info('Automatically converting requests from XLS to JSON')
json_data = convert_service_sheet(filename,eqpt_filename)
else:
with open(filename) as f:
with open(filename, encoding='utf-8') as f:
json_data = loads(f.read())
return json_data
@@ -297,7 +297,7 @@ if __name__ == '__main__':
for p in pths:
result.append(Result_element(rqs[pths.index(p)],p))
with open(args.output, 'w') as f:
f.write(dumps(path_result_json(result), indent=2))
f.write(dumps(path_result_json(result), indent=2, ensure_ascii=False))
fnamecsv = next(s for s in args.output.split('.')) + '.csv'
with open(fnamecsv,"w") as fcsv :
jsontocsv(path_result_json(result),equipment,fcsv)

16
examples/transmission_main_example.py
View File

@@ -150,16 +150,14 @@ if __name__ == '__main__':
exit()
if args.source:
try:
source = next(transceivers[uid] for uid in transceivers if uid == args.source)
except StopIteration as e:
source = transceivers.get(args.source)
if not source:
#TODO code a more advanced regex to find nodes match
nodes_suggestion = [uid for uid in transceivers \
if args.source.lower() in uid.lower()]
source = transceivers[nodes_suggestion[0]] \
if len(nodes_suggestion)>0 else list(transceivers.values())[0]
print(f'invalid souce node specified, did you mean:\
\n{nodes_suggestion}?\
print(f'invalid souce node specified,\
\n{args.source!r}, replaced with {source.uid}')
del transceivers[source.uid]
else:
@@ -167,15 +165,13 @@ if __name__ == '__main__':
source = list(transceivers.values())[0]
if args.destination:
try:
destination = next(transceivers[uid] for uid in transceivers if uid == args.destination)
except StopIteration as e:
destination = transceivers.get(args.destination)
if not destination:
nodes_suggestion = [uid for uid in transceivers \
if args.destination.lower() in uid.lower()]
destination = transceivers[nodes_suggestion[0]] \
if len(nodes_suggestion)>0 else list(transceivers.values())[0]
print(f'invalid destination node specified, did you mean:\
\n{nodes_suggestion}?\
print(f'invalid destination node specified,\
\n{args.destination!r}, replaced with {destination.uid}')
else:
logger.info('No source node specified: picking random transceiver')

4
examples/write_path_jsontocsv.py
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@@ -26,8 +26,8 @@ parser.add_argument('eqpt_filename', nargs='?', type = Path, default=Path(__file
if __name__ == '__main__':
args = parser.parse_args()
with open(args.output_filename,"w") as file :
with open(args.filename) as f:
with open(args.output_filename, 'w', encoding='utf-8') as file:
with open(args.filename, encoding='utf-8') as f:
print(f'Reading {args.filename}')
json_data = loads(f.read())
equipment = load_equipment(args.eqpt_filename)

6
gnpy/core/convert.py
View File

@@ -214,14 +214,12 @@ def convert_file(input_filename, filter_region=[]):
for x in nodes_by_city.values() if x.node_type.lower()=='roadm'])))
}
#print(dumps(data, indent=2))
# output_json_file_name = input_filename.split(".")[0]+".json"
suffix_filename = str(input_filename.suffixes[0])
full_input_filename = str(input_filename)
split_filename = [full_input_filename[0:len(full_input_filename)-len(suffix_filename)] , suffix_filename[1:]]
output_json_file_name = split_filename[0]+'.json'
with open(output_json_file_name,'w') as edfa_json_file:
edfa_json_file.write(dumps(data, indent=2))
with open(output_json_file_name, 'w', encoding='utf-8') as edfa_json_file:
edfa_json_file.write(dumps(data, indent=2, ensure_ascii=False))
return output_json_file_name
def parse_excel(input_filename):

24
gnpy/core/equipment.py
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@@ -13,7 +13,7 @@ from sys import exit
from operator import itemgetter
from math import isclose
from pathlib import Path
from json import loads
from json import load
from gnpy.core.utils import lin2db, db2lin, load_json
from collections import namedtuple
from gnpy.core.elements import Edfa
@@ -43,14 +43,14 @@ class Amp(AmpBase):
@classmethod
def from_advanced_json(cls, filename, **kwargs):
with open(filename) as f:
json_data = loads(f.read())
with open(filename, encoding='utf-8') as f:
json_data = load(f)
return cls(**{**kwargs, **json_data, 'type_def':None, 'nf_model':None})
@classmethod
def from_default_json(cls, filename, **kwargs):
with open(filename) as f:
json_data = loads(f.read())
with open(filename, encoding='utf-8') as f:
json_data = load(f)
type_variety = kwargs['type_variety']
type_def = kwargs.get('type_def', 'variable_gain') #default compatibility with older json eqpt files
nf_def = None
@@ -211,17 +211,17 @@ def equipment_from_json(json_data, filename):
"""
equipment = {}
for key, entries in json_data.items():
equipment[key] = {}
typ = globals()[key]
for entry in entries:
if key not in equipment:
equipment[key] = {}
subkey = entry.get('type_variety', 'default')
typ = globals()[key]
subkey = entry.get('type_variety', 'default')
if key == 'Edfa':
if 'advanced_config_from_json' in entry:
config = Path(filename).parent / entry.pop('advanced_config_from_json')
typ = lambda **kws: Amp.from_advanced_json(config, **kws)
equipment[key][subkey] = Amp.from_advanced_json(config, **entry)
else:
config = Path(filename).parent / 'default_edfa_config.json'
typ = lambda **kws: Amp.from_default_json(config, **kws)
equipment[key][subkey] = typ(**entry)
equipment[key][subkey] = Amp.from_default_json(config, **entry)
else:
equipment[key][subkey] = typ(**entry)
return equipment

2
gnpy/core/service_sheet.py
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@@ -189,7 +189,7 @@ def convert_service_sheet(input_filename, eqpt_filename, output_filename='', fil
if n.json[1] is not None]
}
with open(output_filename, 'w') as f:
f.write(dumps(data, indent=2))
f.write(dumps(data, indent=2, ensure_ascii=False))
return data
# to be used from dutc

8
gnpy/core/utils.py
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@@ -18,14 +18,14 @@ from scipy import constants
def load_json(filename):
with open(filename, 'r') as f:
with open(filename, 'r', encoding='utf-8') as f:
data = json.load(f)
return data
def save_json(obj, filename):
with open(filename, 'w') as f:
json.dump(obj, f, indent=2)
with open(filename, 'w', encoding='utf-8') as f:
json.dump(obj, f, indent=2, ensure_ascii=False)
def write_csv(obj, filename):
"""
@@ -55,7 +55,7 @@ def write_csv(obj, filename):
result_category 2
...
"""
with open(filename, 'w') as f:
with open(filename, 'w', encoding='utf-8') as f:
w = writer(f)
for data_key, data_list in obj.items():
#main header

8
tests/compare.py
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@@ -105,16 +105,16 @@ def encode_sets(obj):
if __name__ == '__main__':
args = parser.parse_args()
with open(args.expected_output) as f:
with open(args.expected_output, encoding='utf-8') as f:
expected = load(f)
with open(args.actual_output) as f:
with open(args.actual_output, encoding='utf-8') as f:
actual = load(f)
result = COMPARISONS[args.comparison](expected, actual)
if args.output:
with open(args.output, 'w') as f:
dump(result, f, default=encode_sets, indent=2)
with open(args.output, 'w', encoding='utf-8') as f:
dump(result, f, default=encode_sets, indent=2, ensure_ascii=False)
else:
print(str(result))

2
tests/test_amplifier.py
View File

@@ -5,7 +5,7 @@
from gnpy.core.elements import Edfa
from numpy import zeros, array
from json import load, dumps
from json import load
from gnpy.core.elements import Transceiver, Fiber, Edfa
from gnpy.core.utils import lin2db, db2lin
from gnpy.core.info import create_input_spectral_information, SpectralInformation, Channel, Power, Pref

8
tests/test_parser.py
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@@ -37,11 +37,11 @@ def test_excel_json_generation(xls_input, expected_json_output):
convert_file(xls_input)
actual_json_output = xls_input.with_suffix('.json')
with open(actual_json_output) as f:
with open(actual_json_output, encoding='utf-8') as f:
actual = load(f)
unlink(actual_json_output)
with open(expected_json_output) as f:
with open(expected_json_output, encoding='utf-8') as f:
expected = load(f)
results = compare_networks(expected, actual)
@@ -65,11 +65,11 @@ def test_excel_service_json_generation(xls_input, expected_json_output):
convert_service_sheet(xls_input, eqpt_filename)
actual_json_output = f'{str(xls_input)[:-4]}_services.json'
with open(actual_json_output) as f:
with open(actual_json_output, encoding='utf-8') as f:
actual = load(f)
unlink(actual_json_output)
with open(expected_json_output) as f:
with open(expected_json_output, encoding='utf-8') as f:
expected = load(f)
results = compare_services(expected, actual)

2
tests/test_propagation.py
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@@ -5,7 +5,7 @@
from gnpy.core.elements import Edfa
import numpy as np
from json import load, dumps
from json import load
import pytest
from gnpy.core.elements import Transceiver, Fiber, Edfa
from gnpy.core.utils import lin2db, db2lin