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Generic write_csv in utils to save simulation results

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tranmsission_main simulation results are saved to simulation_result.csv

Signed-off-by: Jean-Luc Auge <jeanluc.auge@orange.com>
This commit is contained in:
Jean-Luc Auge
2018-09-04 16:28:57 +02:00
parent 225fb1ec0c
commit 310d32dcea
6 changed files with 98 additions and 28 deletions
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10
examples/edfa_example_network.json
View File

@@ -19,7 +19,10 @@
"params": {
"length": 80,
"loss_coef": 0.2,
"length_units": "km"
"length_units": "km",
"att_in": 0,
"con_in": 0.5,
"con_out": 0.5
},
"metadata": {
"location": {
@@ -34,8 +37,9 @@
"type": "Edfa",
"type_variety": "std_low_gain",
"operational": {
"gain_target": 16,
"tilt_target": 0
"gain_target": 17,
"tilt_target": 0,
"out_voa": 0
},
"metadata": {
"location": {

41
examples/eqpt_config.json
View File

@@ -1,5 +1,5 @@
{ "Edfa":[{
"type_variety": "CienaDB_medium_gain",
"type_variety": "high_detail_model_example",
"gain_flatmax": 25,
"gain_min": 15,
"p_max": 21,
@@ -8,11 +8,22 @@
"allowed_for_design": false
},
{
"type_variety": "operator_model_example",
"type_def": "variable_gain",
"gain_flatmax": 26,
"gain_min": 15,
"p_max": 23,
"nf_min": 6,
"nf_max": 10,
"out_voa_auto": false,
"allowed_for_design": false
},
{
"type_variety": "std_medium_gain",
"type_def": "variable_gain",
"gain_flatmax": 26,
"gain_min": 15,
"p_max": 22,
"p_max": 23,
"nf_min": 6,
"nf_max": 10,
"out_voa_auto": false,
@@ -21,9 +32,9 @@
{
"type_variety": "std_low_gain",
"type_def": "variable_gain",
"gain_flatmax": 17,
"gain_flatmax": 16,
"gain_min": 8,
"p_max": 22,
"p_max": 23,
"nf_min": 6.5,
"nf_max": 11,
"out_voa_auto": false,
@@ -32,20 +43,10 @@
{
"type_variety": "std_fixed_gain",
"type_def": "fixed_gain",
"gain_flatmax": 20,
"gain_flatmax": 21,
"gain_min": 20,
"p_max": 21,
"nf0": 5.5,
"allowed_for_design": true
},
{
"type_variety": "test",
"type_def": "variable_gain",
"gain_flatmax": 25,
"gain_min": 15,
"p_max": 21,
"nf_min": 7,
"nf_max": 11,
"nf0": 5.0,
"allowed_for_design": false
}
],
@@ -57,7 +58,7 @@
],
"Spans":[{
"power_mode":true,
"delta_power_range_db": [-3,3,1],
"delta_power_range_db": [0,0,0.5],
"max_length": 150,
"length_units": "km",
"max_loss": 28,
@@ -73,11 +74,11 @@
}],
"SI":[{
"f_min": 191.3e12,
"f_max":195.1e12,
"baud_rate": 32e9,
"f_max":195.1e12,
"spacing": 50e9,
"power_dbm": 0,
"power_range_db": [0,0,1],
"power_range_db": [0,0,0.5],
"roll_off": 0.15,
"OSNR": 11,
"bit_rate":100e9
@@ -107,7 +108,7 @@
]
},
{
"type_variety": "Voyager_16QAM",
"type_variety": "Voyager",
"frequency":{
"min": 191.35e12,
"max": 196.1e12

30
examples/transmission_main_example.py
View File

@@ -6,14 +6,14 @@ propagates a 96 channels comb
'''
from gnpy.core.equipment import load_equipment, trx_mode_params
from gnpy.core.utils import db2lin, lin2db
from gnpy.core.utils import db2lin, lin2db, write_csv
from argparse import ArgumentParser
from sys import exit
from pathlib import Path
from json import loads
from collections import Counter
from logging import getLogger, basicConfig, INFO, ERROR, DEBUG
from numpy import arange
from numpy import arange, mean
from matplotlib.pyplot import show, axis, figure, title
from networkx import (draw_networkx_nodes, draw_networkx_edges,
draw_networkx_labels, dijkstra_path)
@@ -49,6 +49,23 @@ def plot_results(network, path, source, destination):
def main(network, equipment, source, destination, req = None):
result_dicts = {}
network_data = [{
'network_name' : str(args.filename),
'source' : source.uid,
'destination' : destination.uid
}]
result_dicts.update({'network': network_data})
design_data = [{
'power_mode' : equipment['Spans']['default'].power_mode,
'span_power_range' : equipment['Spans']['default'].delta_power_range_db,
'design_pch' : equipment['SI']['default'].power_dbm,
'baud_rate' : equipment['SI']['default'].baud_rate
}]
result_dicts.update({'design': design_data})
simulation_data = []
result_dicts.update({'simulation results': simulation_data})
power_mode = equipment['Spans']['default'].power_mode
print('\n'.join([f'Power mode is set to {power_mode}',
f'=> it can be modified in eqpt_config.json - Spans']))
@@ -69,7 +86,6 @@ def main(network, equipment, source, destination, req = None):
power_range = [0] #better than an error message
else:
power_range.append(last)
print(power_range)
except TypeError:
print('invalid power range definition in eqpt_config, should be power_range_db: [lower, upper, step]')
power_range = [0]
@@ -80,6 +96,14 @@ def main(network, equipment, source, destination, req = None):
propagate(path, req, equipment, show=len(power_range)==1)
print(f'\nTransmission result for input power = {lin2db(req.power*1e3):.2f}dBm :')
print(destination)
simulation_data.append({
'Pch_dBm' : pref_ch_db + dp_db,
'OSNR_ASE_0.1nm' : round(mean(destination.osnr_ase_01nm),2),
'OSNR_ASE_signal_bw' : round(mean(destination.osnr_ase),2),
'SNR_nli_signal_bw' : round(mean(destination.osnr_nli),2),
'SNR_total_signal_bw' : round(mean(destination.snr),2)
})
write_csv(result_dicts, 'simulation_result.csv')
return path

3
gnpy/core/elements.py
View File

@@ -462,8 +462,9 @@ class Edfa(Node):
return '\n'.join([f'{type(self).__name__} {self.uid}',
f' type_variety: {self.params.type_variety}',
f' effective gain(dB): {self.effective_gain:.2f}',
f' (before att_in and before output VOA)',
f' noise figure (dB): {nf:.2f}',
f' including att_in',
f' (including att_in)',
f' pad att_in (dB): {self.att_in:.2f}',
f' Power In (dBm): {self.pin_db:.2f}',
f' Power Out (dBm): {self.pout_db:.2f}',

1
gnpy/core/equipment.py
View File

@@ -173,6 +173,7 @@ def trx_mode_params(equipment, trx_type_variety='', trx_mode='', error_message=F
trx_params['nb_channel'] = automatic_nch(trx_params['frequency']['min'],
trx_params['frequency']['max'],
trx_params['spacing'])
print('N channels = ', trx_params['nb_channel'])
return trx_params
def automatic_spacing(baud_rate):

39
gnpy/core/utils.py
View File

@@ -12,6 +12,7 @@ This module contains utility functions that are used with gnpy.
import json
import numpy as np
from csv import writer
from numpy import pi, cos, sqrt, log10
from scipy import constants
@@ -26,6 +27,44 @@ def save_json(obj, filename):
with open(filename, 'w') as f:
json.dump(obj, f, indent=2)
def write_csv(obj, filename):
"""
convert dictionary items to a csv file
the dictionary format :
{'result category 1':
[
# 1st line of results
{'header 1' : value_xxx,
'header 2' : value_yyy},
# 2nd line of results: same headers, different results
{'header 1' : value_www,
'header 2' : value_zzz}
],
'result_category 2':
[
{},{}
]
}
the generated csv file will be:
result_category 1
header 1 header 2
value_xxx value_yyy
value_www value_zzz
result_category 2
...
"""
with open(filename, 'w') as f:
w = writer(f)
for data_key, data_list in obj.items():
#main header
w.writerow([data_key])
#sub headers:
headers = [_ for _ in data_list[0].keys()]
w.writerow(headers)
for data_dict in data_list:
w.writerow([_ for _ in data_dict.values()])
def c():
"""