def test_json_response_generation(xls_input, expected_response_file):
""" tests if json response is correctly generated for all combinations of requests
"""
equipment = load_equipment(eqpt_filename)
network = load_network(xls_input, equipment)
p_db = equipment['SI']['default'].power_dbm
p_total_db = p_db + lin2db(
automatic_nch(equipment['SI']['default'].f_min,
equipment['SI']['default'].f_max,
equipment['SI']['default'].spacing))
build_network(network, equipment, p_db, p_total_db)
data = read_service_sheet(xls_input, equipment, network)
# change one of the request with bidir option to cover bidir case as well
data['path-request'][2]['bidirectional'] = True
oms_list = build_oms_list(network, equipment)
rqs = requests_from_json(data, equipment)
dsjn = disjunctions_from_json(data)
dsjn = deduplicate_disjunctions(dsjn)
rqs, dsjn = requests_aggregation(rqs, dsjn)
pths = compute_path_dsjctn(network, equipment, rqs, dsjn)
propagatedpths, reversed_pths, reversed_propagatedpths = \
compute_path_with_disjunction(network, equipment, rqs, pths)
pth_assign_spectrum(pths, rqs, oms_list, reversed_pths)
result = []
for i, pth in enumerate(propagatedpths):
# test ServiceError handling : when M is zero at this point, the
# json result should not be created if there is no blocking reason
if i == 1:
my_rq = deepcopy(rqs[i])
my_rq.M = 0
with pytest.raises(ServiceError):
ResultElement(my_rq, pth, reversed_propagatedpths[i]).json
my_rq.blocking_reason = 'NO_SPECTRUM'
ResultElement(my_rq, pth, reversed_propagatedpths[i]).json
result.append(ResultElement(rqs[i], pth, reversed_propagatedpths[i]))
temp = {'response': [n.json for n in result]}
expected = load_json(expected_response_file)
for i, response in enumerate(temp['response']):
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)
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
}, {
'metric-type':
'SNR-0.1nm',
'accumulative-value':
26.890000000000001
}, {
'metric-type':
'OSNR-bandwidth',
'accumulative-value':
26.239999999999998
}, {
'metric-type':
'OSNR-0.1nm',
'accumulative-value':
30.32
}, {
'metric-type':
'reference_power',
'accumulative-value':
0.0012589254117941673
}, {
'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')
def path_requests_run(args=None):
parser = argparse.ArgumentParser(
description=
'Compute performance for a list of services provided in a json file or an excel sheet',
epilog=_help_footer,
formatter_class=argparse.ArgumentDefaultsHelpFormatter,
)
_add_common_options(parser,
network_default=_examples_dir /
'meshTopologyExampleV2.xls')
parser.add_argument('service_filename',
nargs='?',
type=Path,
metavar='SERVICES-REQUESTS.(json|xls|xlsx)',
default=_examples_dir / 'meshTopologyExampleV2.xls',
help='Input service file')
parser.add_argument('-bi',
'--bidir',
action='store_true',
help='considers that all demands are bidir')
parser.add_argument(
'-o',
'--output',
type=Path,
metavar=_help_fname_json_csv,
help='Store satisifed requests into a JSON or CSV file')
args = parser.parse_args(args if args is not None else sys.argv[1:])
_setup_logging(args)
_logger.info(
f'Computing path requests {args.service_filename} into JSON format')
print(
f'{ansi_escapes.blue}Computing path requests {os.path.relpath(args.service_filename)} into JSON format{ansi_escapes.reset}'
)
(equipment,
network) = load_common_data(args.equipment, args.topology,
args.sim_params,
args.save_network_before_autodesign)
# Build the network once using the default power defined in SI in eqpt config
# TODO power density: db2linp(ower_dbm": 0)/power_dbm": 0 * nb channels as defined by
# spacing, f_min and f_max
p_db = equipment['SI']['default'].power_dbm
p_total_db = p_db + lin2db(
automatic_nch(equipment['SI']['default'].f_min,
equipment['SI']['default'].f_max,
equipment['SI']['default'].spacing))
try:
build_network(network, equipment, p_db, p_total_db)
except exceptions.NetworkTopologyError as e:
print(
f'{ansi_escapes.red}Invalid network definition:{ansi_escapes.reset} {e}'
)
sys.exit(1)
except exceptions.ConfigurationError as e:
print(
f'{ansi_escapes.red}Configuration error:{ansi_escapes.reset} {e}')
sys.exit(1)
if args.save_network is not None:
save_network(network, args.save_network)
print(
f'{ansi_escapes.blue}Network (after autodesign) saved to {args.save_network}{ansi_escapes.reset}'
)
oms_list = build_oms_list(network, equipment)
try:
data = load_requests(args.service_filename,
equipment,
bidir=args.bidir,
network=network,
network_filename=args.topology)
rqs = requests_from_json(data, equipment)
except exceptions.ServiceError as e:
print(f'{ansi_escapes.red}Service error:{ansi_escapes.reset} {e}')
sys.exit(1)
# check that request ids are unique. Non unique ids, may
# mess the computation: better to stop the computation
all_ids = [r.request_id for r in rqs]
if len(all_ids) != len(set(all_ids)):
for item in list(set(all_ids)):
all_ids.remove(item)
msg = f'Requests id {all_ids} are not unique'
_logger.critical(msg)
sys.exit()
rqs = correct_json_route_list(network, rqs)
# pths = compute_path(network, equipment, rqs)
dsjn = disjunctions_from_json(data)
print(f'{ansi_escapes.blue}List of disjunctions{ansi_escapes.reset}')
print(dsjn)
# need to warn or correct in case of wrong disjunction form
# disjunction must not be repeated with same or different ids
dsjn = deduplicate_disjunctions(dsjn)
# Aggregate demands with same exact constraints
print(
f'{ansi_escapes.blue}Aggregating similar requests{ansi_escapes.reset}')
rqs, dsjn = requests_aggregation(rqs, dsjn)
# TODO export novel set of aggregated demands in a json file
print(
f'{ansi_escapes.blue}The following services have been requested:{ansi_escapes.reset}'
)
print(rqs)
print(
f'{ansi_escapes.blue}Computing all paths with constraints{ansi_escapes.reset}'
)
try:
pths = compute_path_dsjctn(network, equipment, rqs, dsjn)
except exceptions.DisjunctionError as this_e:
print(
f'{ansi_escapes.red}Disjunction error:{ansi_escapes.reset} {this_e}'
)
sys.exit(1)
print(
f'{ansi_escapes.blue}Propagating on selected path{ansi_escapes.reset}')
propagatedpths, reversed_pths, reversed_propagatedpths = compute_path_with_disjunction(
network, equipment, rqs, pths)
# Note that deepcopy used in compute_path_with_disjunction returns
# a list of nodes which are not belonging to network (they are copies of the node objects).
# so there can not be propagation on these nodes.
pth_assign_spectrum(pths, rqs, oms_list, reversed_pths)
print(f'{ansi_escapes.blue}Result summary{ansi_escapes.reset}')
header = [
'req id', ' demand', ' snr@bandwidth A-Z (Z-A)',
' [email protected] A-Z (Z-A)', ' Receiver minOSNR', ' mode', ' Gbit/s',
' nb of tsp pairs', 'N,M or blocking reason'
]
data = []
data.append(header)
for i, this_p in enumerate(propagatedpths):
rev_pth = reversed_propagatedpths[i]
if rev_pth and this_p:
psnrb = f'{round(mean(this_p[-1].snr),2)} ({round(mean(rev_pth[-1].snr),2)})'
psnr = f'{round(mean(this_p[-1].snr_01nm), 2)}' +\
f' ({round(mean(rev_pth[-1].snr_01nm),2)})'
elif this_p:
psnrb = f'{round(mean(this_p[-1].snr),2)}'
psnr = f'{round(mean(this_p[-1].snr_01nm),2)}'
try:
if rqs[i].blocking_reason in BLOCKING_NOPATH:
line = [
f'{rqs[i].request_id}',
f' {rqs[i].source} to {rqs[i].destination} :', f'-', f'-',
f'-', f'{rqs[i].tsp_mode}',
f'{round(rqs[i].path_bandwidth * 1e-9,2)}', f'-',
f'{rqs[i].blocking_reason}'
]
else:
line = [
f'{rqs[i].request_id}',
f' {rqs[i].source} to {rqs[i].destination} : ', psnrb,
psnr, f'-', f'{rqs[i].tsp_mode}',
f'{round(rqs[i].path_bandwidth * 1e-9, 2)}', f'-',
f'{rqs[i].blocking_reason}'
]
except AttributeError:
line = [
f'{rqs[i].request_id}',
f' {rqs[i].source} to {rqs[i].destination} : ', psnrb, psnr,
f'{rqs[i].OSNR + equipment["SI"]["default"].sys_margins}',
f'{rqs[i].tsp_mode}',
f'{round(rqs[i].path_bandwidth * 1e-9,2)}',
f'{ceil(rqs[i].path_bandwidth / rqs[i].bit_rate) }',
f'({rqs[i].N},{rqs[i].M})'
]
data.append(line)
col_width = max(len(word) for row in data for word in row[2:]) # padding
firstcol_width = max(len(row[0]) for row in data) # padding
secondcol_width = max(len(row[1]) for row in data) # padding
for row in data:
firstcol = ''.join(row[0].ljust(firstcol_width))
secondcol = ''.join(row[1].ljust(secondcol_width))
remainingcols = ''.join(
word.center(col_width, ' ') for word in row[2:])
print(f'{firstcol} {secondcol} {remainingcols}')
print(
f'{ansi_escapes.yellow}Result summary shows mean SNR and OSNR (average over all channels){ansi_escapes.reset}'
)
if args.output:
result = []
# assumes that list of rqs and list of propgatedpths have same order
for i, pth in enumerate(propagatedpths):
result.append(
ResultElement(rqs[i], pth, reversed_propagatedpths[i]))
temp = _path_result_json(result)
if args.output.suffix.lower() == '.json':
save_json(temp, args.output)
print(
f'{ansi_escapes.blue}Saved JSON to {args.output}{ansi_escapes.reset}'
)
elif args.output.suffix.lower() == '.csv':
with open(args.output, "w", encoding='utf-8') as fcsv:
jsontocsv(temp, equipment, fcsv)
print(
f'{ansi_escapes.blue}Saved CSV to {args.output}{ansi_escapes.reset}'
)
else:
print(
f'{ansi_escapes.red}Cannot save output: neither JSON nor CSV file{ansi_escapes.reset}'
)
sys.exit(1)