oopt-gnpy/examples/path_requests_run.py

#!/usr/bin/env python3
# TelecomInfraProject/gnpy/examples
# Module name : path_requests_run.py
# Version : 
# License : BSD 3-Clause Licence
# Copyright (c) 2018, Telecom Infra Project

"""
@author: esther.lerouzic
@author: jeanluc-auge
read json request file in accordance with:
    Yang model for requesting Path Computation
    draft-ietf-teas-yang-path-computation-01.txt. 
and returns path results in terms of path and feasibility

"""

from sys import exit
from argparse import ArgumentParser
from pathlib import Path
from collections import namedtuple
from logging import getLogger, basicConfig, CRITICAL, DEBUG, INFO
from json import dumps, loads
from networkx import (draw_networkx_nodes, draw_networkx_edges,
                      draw_networkx_labels, dijkstra_path, NetworkXNoPath)
from numpy import mean
from examples.convert_service_sheet import convert_service_sheet, Request_element, Element
from gnpy.core.utils import load_json
from gnpy.core.network import load_network, build_network, set_roadm_loss
from gnpy.core.equipment import load_equipment, trx_mode_params
from gnpy.core.elements import Transceiver, Roadm, Edfa, Fused
from gnpy.core.utils import db2lin, lin2db
from gnpy.core.info import create_input_spectral_information, SpectralInformation, Channel, Power
from gnpy.core.request import Path_request, Result_element, compute_constrained_path, propagate
from copy import copy, deepcopy
from numpy import log10

#EQPT_LIBRARY_FILENAME = Path(__file__).parent / 'eqpt_config.json'

logger = getLogger(__name__)

parser = ArgumentParser(description = 'A function that computes performances for a list of services provided in a json file or an excel sheet.')
parser.add_argument('network_filename', nargs='?', type = Path, default= Path(__file__).parent / 'meshTopologyExampleV2.xls')
parser.add_argument('service_filename', nargs='?', type = Path, default= Path(__file__).parent / 'meshTopologyExampleV2.xls')
parser.add_argument('eqpt_filename', nargs='?', type = Path, default=Path(__file__).parent / 'eqpt_config.json')
parser.add_argument('-v', '--verbose', action='count')
parser.add_argument('-o', '--output', default=None)


def requests_from_json(json_data,equipment):
    requests_list = []

    for req in json_data['path-request']:
        #print(f'{req}')
        params = {}
        params['request_id'] = req['request-id']
        params['source'] = req['src-tp-id']
        params['destination'] = req['dst-tp-id']
        params['trx_type'] = req['path-constraints']['te-bandwidth']['trx_type']
        params['trx_mode'] = req['path-constraints']['te-bandwidth']['trx_mode']
        params['format'] = params['trx_mode']
        nd_list = req['optimizations']['explicit-route-include-objects']
        params['nodes_list'] = [n['unnumbered-hop']['node-id'] for n in nd_list]
        params['loose_list'] = [n['unnumbered-hop']['hop-type'] for n in nd_list]
        params['spacing'] = req['path-constraints']['te-bandwidth']['spacing']
        
        trx_params = trx_mode_params(equipment,params['trx_type'],params['trx_mode'],True)
        params.update(trx_params)
        params['power'] = req['path-constraints']['te-bandwidth']['output-power']
        params['nb_channel'] = req['path-constraints']['te-bandwidth']['max-nb-of-channel']

        requests_list.append(Path_request(**params))

    return requests_list


def load_requests(filename,eqpt_filename):
    if filename.suffix.lower() == '.xls':
        logger.info('Automatically converting requests from XLS to JSON')
        json_data = convert_service_sheet(filename,eqpt_filename)
    else:
        with open(filename) as f:
            json_data = loads(f.read())
    return json_data

def compute_path(network, pathreqlist):
    
    path_res_list = []

    for pathreq in pathreqlist:
        pathreq.nodes_list.append(pathreq.destination)
        #we assume that the destination is a strict constraint
        pathreq.loose_list.append('strict')
        print(f'Computing path from {pathreq.source} to {pathreq.destination}')
        print(f'with explicit path: {pathreq.nodes_list}')
        total_path = compute_constrained_path(network, pathreq)
        
        # for debug
        # print(f'{pathreq.baud_rate}   {pathreq.power}   {pathreq.spacing}   {pathreq.nb_channel}')
        
        total_path = propagate(total_path,pathreq,equipment, show=False)

        # we record the last tranceiver object in order to have th whole 
        # information about spectrum. Important Note: since transceivers 
        # attached to roadms are actually logical elements to simulate
        # performance, several demands having the same destination may use 
        # the same transponder for the performance simaulation. This is why 
        # we use deepcopy: to ensure each propagation is recorded and not 
        # overwritten 
        
        path_res_list.append(deepcopy(total_path))
    return path_res_list

def path_result_json(pathresult):
    data = {
        'path': [n.json for n in pathresult]
    }
    return data


if __name__ == '__main__':
    args = parser.parse_args()
    basicConfig(level={2: DEBUG, 1: INFO, 0: CRITICAL}.get(args.verbose, CRITICAL))
    logger.info(f'Computing path requests {args.service_filename} into JSON format')
    # for debug
    # print( args.eqpt_filename)
    data = load_requests(args.service_filename,args.eqpt_filename)
    equipment = load_equipment(args.eqpt_filename)
    network = load_network(args.network_filename,equipment)
    set_roadm_loss(network, equipment, False, 0)
    build_network(network, equipment=equipment)
    pths = requests_from_json(data, equipment)
    print(pths)
    test = compute_path(network,pths)

    if args.output is None:
        #TODO write results
        print("demand\t\t\t\tsnr@bandwidth\tsnr@0.1nm")
        
        for i, p in enumerate(test):
            print(f'{pths[i].source} to {pths[i].destination} : {round(mean(p[-1].snr),2)} ,\
                {round(mean(p[-1].snr+10*log10(pths[i].baud_rate/(12.5e9))),2)}')
    else:
        result = []
        for p in test:
            result.append(Result_element(pths[test.index(p)],p))
        with open(args.output, 'w') as f:
            f.write(dumps(path_result_json(result), indent=2))