def test_reversed_direction(equipment, setup, requests, services):
""" checks that if spectrum is selected on one direction it is also selected on reversed
direction
"""
network, oms_list = setup
dsjn = disjunctions_from_json(services)
dsjn = deduplicate_disjunctions(dsjn)
paths = compute_path_dsjctn(network, equipment, requests, dsjn)
rev_pths = []
for pth in paths:
if pth:
rev_pths.append(find_reversed_path(pth))
else:
rev_pths.append([])
# build the list of spectrum slots that will be used for each request. For this purpose
# play the selection part of path_assign_spectrum
spectrum_list = []
for i, pth in enumerate(paths):
if pth:
number_wl = ceil(requests[i].path_bandwidth / requests[i].bit_rate)
requested_m = ceil(requests[i].spacing / slot) * number_wl
(center_n, startn,
stopn), path_oms = spectrum_selection(pth,
oms_list,
requested_m,
requested_n=None)
spectrum_list.append([center_n, startn, stopn])
else:
spectrum_list.append([])
pth_assign_spectrum(paths, requests, oms_list, rev_pths)
# pth-assign concatenates path and reversed path
for i, pth in enumerate(paths):
# verifies that each element (not trx and not roadm) in the path has same
# spectrum occupation
if pth:
this_path = [
elem for elem in pth if not isinstance(elem, Roadm)
and not isinstance(elem, Transceiver)
]
print(f'path {[el.uid for el in this_path]}')
this_revpath = [
elem for elem in rev_pths[i] if not isinstance(elem, Roadm)
and not isinstance(elem, Transceiver)
]
print(f'rev_path {[el.uid for el in this_revpath]}')
print('')
for j, elem in enumerate(this_revpath):
imin = elem.oms.spectrum_bitmap.geti(spectrum_list[i][1])
imax = elem.oms.spectrum_bitmap.geti(spectrum_list[i][2])
print(f'rev_elem {elem.uid}')
print(f' elem {this_path[len(this_path)-j-1].uid}')
print(
f'\trev_spectrum: {elem.oms.spectrum_bitmap.bitmap[imin:imax]}'
)
print(
f'\t spectrum: ' +
f'{this_path[len(this_path)-j-1].oms.spectrum_bitmap.bitmap[imin:imax]}'
)
assert elem.oms.spectrum_bitmap.bitmap[imin:imax] == \
this_path[len(this_path) - j - 1].oms.spectrum_bitmap.bitmap[imin:imax]
def test_n_m_requests(setup, equipment, n, m, final_n, final_m,
blocking_reason, request_set):
""" test that various N and M values for a request end up with the correct path assgnment
"""
network, oms_list = setup
# add an occupation on one of the span of the expected path OMS list on both directions
# as defined by its offsets within the OMS list: [17, 20, 13, 22] and reversed path [19, 16, 21, 26]
expected_path = [17, 20, 13, 22]
expected_oms = [13, 16, 17, 19, 20, 21, 22, 26]
some_oms = oms_list[expected_oms[3]]
some_oms.assign_spectrum(
-30, 32
) # means that spectrum is occupied from indexes -62 to 1 on reversed path
params = request_set
params['effective_freq_slot'] = {'N': n, 'M': m}
rqs = [PathRequest(**params)]
paths = compute_path_dsjctn(network, equipment, rqs, [])
# check that the computed path is the expected one (independant of blocking issues due to spectrum)
path_oms = list(
set([
e.oms_id for e in paths[0]
if not isinstance(e, (Transceiver, Roadm))
]))
assert path_oms == expected_path
# function to be tested:
pth_assign_spectrum(paths, rqs, oms_list, [find_reversed_path(paths[0])])
# check that spectrum is correctly assigned
assert rqs[0].N == final_n
assert rqs[0].M == final_m
assert getattr(rqs[0], 'blocking_reason', None) == blocking_reason
def test_spectrum_assignment_on_path(equipment, setup, requests):
""" test assignment functions on path and network
"""
network, oms_list = setup
req = [deepcopy(requests[1])]
paths = compute_path_dsjctn(network, equipment, req, [])
print(req)
for nval in range(100):
req = [deepcopy(requests[1])]
(center_n, startn, stopn), path_oms = spectrum_selection(paths[0], oms_list, 4)
pth_assign_spectrum(paths, req, oms_list, [find_reversed_path(paths[0])])
print(f'testing on following oms {path_oms}')
# check that only 96 channels are feasible
if nval >= 96:
print(center_n, startn, stopn)
print('only 96 channels of 4 slots pass in this grid')
assert center_n is None and startn is None and stopn is None
else:
print(center_n, startn, stopn)
print('at least 96 channels of 4 slots should pass in this grid')
assert center_n is not None and startn is not None and stopn is not None
req = [requests[2]]
paths = compute_path_dsjctn(network, equipment, req, [])
(center_n, startn, stopn), path_oms = spectrum_selection(paths[0], oms_list, 4, 478)
print(oms_list[0].spectrum_bitmap.freq_index_max)
print(oms_list[0])
print(center_n, startn, stopn)
print('spectrum selection error: should be None')
assert center_n is None and startn is None and stopn is None
(center_n, startn, stopn), path_oms = spectrum_selection(paths[0], oms_list, 4, 477)
print(center_n, startn, stopn)
print('spectrum selection error should not be None')
assert center_n is not None and startn is not None and stopn is not None
def test_freq_slot_exist(setup, equipment, request_set):
""" test that assignment works even if effective_freq_slot is not populated
"""
network, oms_list = setup
params = request_set
params['effective_freq_slot'] = None
rqs = [PathRequest(**params)]
paths = compute_path_dsjctn(network, equipment, rqs, [])
pth_assign_spectrum(paths, rqs, oms_list, [find_reversed_path(paths[0])])
assert rqs[0].N == -256
assert rqs[0].M == 32
def test_inconsistant_freq_slot(setup, equipment, request_set):
""" test that an inconsistant M correctly raises an error
"""
network, oms_list = setup
params = request_set
# minimum required nb of slots is 32 (800Gbit/100Gbit/s channels each occupying 50GHz ie 4 slots)
params['effective_freq_slot'] = {'N': 0, 'M': 4}
with pytest.raises(ServiceError):
_check_one_request(params, 196.05e12)
params['trx_mode'] = None
rqs = [PathRequest(**params)]
paths = compute_path_dsjctn(network, equipment, rqs, [])
pth_assign_spectrum(paths, rqs, oms_list, [find_reversed_path(paths[0])])
assert rqs[0].blocking_reason == 'NOT_ENOUGH_RESERVED_SPECTRUM'
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)
