mirror of
https://github.com/Telecominfraproject/oopt-gnpy.git
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3ade885e41
- adding a test to check that transponder types and modes are part of the eqpt library - adding a formating on numeical value input for path request ids - automatically printing the results into a csv file in addition to the json file and with the saime name+.csv - printing results in a more pretty way for demo Signed-off-by: EstherLerouzic <esther.lerouzic@orange.com>
168 lines
7.1 KiB
Python
168 lines
7.1 KiB
Python
#!/usr/bin/env python3
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# TelecomInfraProject/gnpy/examples
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# Module name : path_requests_run.py
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# Version :
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# License : BSD 3-Clause Licence
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# Copyright (c) 2018, Telecom Infra Project
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"""
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@author: esther.lerouzic
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@author: jeanluc-auge
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read json request file in accordance with:
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Yang model for requesting Path Computation
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draft-ietf-teas-yang-path-computation-01.txt.
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and returns path results in terms of path and feasibility
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"""
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from sys import exit
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from argparse import ArgumentParser
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from pathlib import Path
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from collections import namedtuple
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from logging import getLogger, basicConfig, CRITICAL, DEBUG, INFO
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from json import dumps, loads
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from networkx import (draw_networkx_nodes, draw_networkx_edges,
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draw_networkx_labels, dijkstra_path, NetworkXNoPath)
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from numpy import mean
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from examples.convert_service_sheet import convert_service_sheet, Request_element, Element
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from gnpy.core.utils import load_json
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from gnpy.core.network import load_network, build_network, set_roadm_loss
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from gnpy.core.equipment import load_equipment, trx_mode_params
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from gnpy.core.elements import Transceiver, Roadm, Edfa, Fused
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from gnpy.core.utils import db2lin, lin2db
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from gnpy.core.request import Path_request, Result_element, compute_constrained_path, propagate, jsontocsv
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from copy import copy, deepcopy
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#EQPT_LIBRARY_FILENAME = Path(__file__).parent / 'eqpt_config.json'
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logger = getLogger(__name__)
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parser = ArgumentParser(description = 'A function that computes performances for a list of services provided in a json file or an excel sheet.')
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parser.add_argument('network_filename', nargs='?', type = Path, default= Path(__file__).parent / 'meshTopologyExampleV2.xls')
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parser.add_argument('service_filename', nargs='?', type = Path, default= Path(__file__).parent / 'meshTopologyExampleV2.xls')
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parser.add_argument('eqpt_filename', nargs='?', type = Path, default=Path(__file__).parent / 'eqpt_config.json')
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parser.add_argument('-v', '--verbose', action='count')
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parser.add_argument('-o', '--output', default=None)
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def requests_from_json(json_data,equipment):
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requests_list = []
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for req in json_data['path-request']:
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#print(f'{req}')
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params = {}
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params['request_id'] = req['request-id']
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params['source'] = req['src-tp-id']
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params['destination'] = req['dst-tp-id']
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params['trx_type'] = req['path-constraints']['te-bandwidth']['trx_type']
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params['trx_mode'] = req['path-constraints']['te-bandwidth']['trx_mode']
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params['format'] = params['trx_mode']
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nd_list = req['optimizations']['explicit-route-include-objects']
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params['nodes_list'] = [n['unnumbered-hop']['node-id'] for n in nd_list]
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params['loose_list'] = [n['unnumbered-hop']['hop-type'] for n in nd_list]
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params['spacing'] = req['path-constraints']['te-bandwidth']['spacing']
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trx_params = trx_mode_params(equipment,params['trx_type'],params['trx_mode'],True)
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params.update(trx_params)
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params['power'] = req['path-constraints']['te-bandwidth']['output-power']
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params['nb_channel'] = req['path-constraints']['te-bandwidth']['max-nb-of-channel']
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requests_list.append(Path_request(**params))
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return requests_list
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def load_requests(filename,eqpt_filename):
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if filename.suffix.lower() == '.xls':
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logger.info('Automatically converting requests from XLS to JSON')
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json_data = convert_service_sheet(filename,eqpt_filename)
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else:
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with open(filename) as f:
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json_data = loads(f.read())
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return json_data
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def compute_path(network, equipment, pathreqlist):
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path_res_list = []
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for pathreq in pathreqlist:
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#need to rebuid the network for each path because the total power
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#can be different and the choice of amplifiers in autodesign is power dependant
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#but the design is the same if the total power is the same
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#TODO parametrize the total spectrum power so the same design can be shared
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p_db = lin2db(pathreq.power*1e3)
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p_total_db = p_db + lin2db(pathreq.nb_channel)
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build_network(network, equipment, p_db, p_total_db)
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pathreq.nodes_list.append(pathreq.destination)
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#we assume that the destination is a strict constraint
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pathreq.loose_list.append('strict')
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print(f'Computing path from {pathreq.source} to {pathreq.destination}')
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print(f'with path constraint: {[pathreq.source]+pathreq.nodes_list}') #adding first node to be clearer on the output
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total_path = compute_constrained_path(network, pathreq)
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print(f'Computed path (roadms):{[e.uid for e in total_path if isinstance(e, Roadm)]}\n')
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# for debug
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# print(f'{pathreq.baud_rate} {pathreq.power} {pathreq.spacing} {pathreq.nb_channel}')
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if total_path :
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total_path = propagate(total_path,pathreq,equipment, show=False)
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else:
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total_path = []
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# we record the last tranceiver object in order to have th whole
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# information about spectrum. Important Note: since transceivers
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# attached to roadms are actually logical elements to simulate
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# performance, several demands having the same destination may use
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# the same transponder for the performance simaulation. This is why
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# we use deepcopy: to ensure each propagation is recorded and not
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# overwritten
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path_res_list.append(deepcopy(total_path))
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return path_res_list
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def path_result_json(pathresult):
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data = {
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'path': [n.json for n in pathresult]
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}
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return data
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if __name__ == '__main__':
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args = parser.parse_args()
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basicConfig(level={2: DEBUG, 1: INFO, 0: CRITICAL}.get(args.verbose, CRITICAL))
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logger.info(f'Computing path requests {args.service_filename} into JSON format')
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# for debug
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# print( args.eqpt_filename)
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data = load_requests(args.service_filename,args.eqpt_filename)
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equipment = load_equipment(args.eqpt_filename)
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network = load_network(args.network_filename,equipment)
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pths = requests_from_json(data, equipment)
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print(pths)
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test = compute_path(network, equipment, pths)
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#TODO write results
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header = ['demand','snr@bandwidth','snr@0.1nm','Receiver minOSNR']
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data = []
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data.append(header)
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for i, p in enumerate(test):
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if p:
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line = [f'{pths[i].source} to {pths[i].destination} : ', f'{round(mean(p[-1].snr),2)}',\
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f'{round(mean(p[-1].snr+lin2db(pths[i].baud_rate/(12.5e9))),2)}',\
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f'{pths[i].OSNR}']
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else:
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line = [f'no path from {pths[i].source} to {pths[i].destination} ']
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data.append(line)
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col_width = max(len(word) for row in data for word in row) # padding
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for row in data:
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print(''.join(word.ljust(col_width) for word in row))
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if args.output :
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result = []
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for p in test:
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result.append(Result_element(pths[test.index(p)],p))
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with open(args.output, 'w') as f:
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f.write(dumps(path_result_json(result), indent=2))
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fnamecsv = next(s for s in args.output.split('.')) + '.csv'
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with open(fnamecsv,"w") as fcsv :
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jsontocsv(path_result_json(result),equipment,fcsv) |