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oopt-gnpy/gnpy/topology/spectrum_assignment.py
EstherLerouzic bad893bf86 Remove this test which should never happen 
this sort of verification should be covered by automatic tests
since this is a verification of the correct behaviour of the
spectrum_selection function

Signed-off-by: EstherLerouzic <esther.lerouzic@orange.com>
Change-Id: I76dd3bcad74085e1cd36ecb6503dad0271b61b80
2021-08-31 11:31:16 +02:00

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#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
gnpy.topology.spectrum_assignment
=================================
This module contains the :class:`Oms` and :class:`Bitmap` classes and methods to
select and assign spectrum. The :func:`spectrum_selection` function identifies the free
slots and :func:`select_candidate` selects the candidate spectrum according to
strategy: for example first fit
oms records its elements, and elements are updated with an oms to have
element/oms correspondace
"""
from collections import namedtuple
from logging import getLogger
from math import ceil
from gnpy.core.elements import Roadm, Transceiver
from gnpy.core.exceptions import ServiceError, SpectrumError
from gnpy.topology.request import compute_spectrum_slot_vs_bandwidth
LOGGER = getLogger(__name__)
class Bitmap:
""" records the spectrum occupation
"""
def __init__(self, f_min, f_max, grid, guardband=0.15e12, bitmap=None):
# n is the min index including guardband. Guardband is require to be sure
# that a channel can be assigned with center frequency fmin (means that its
# slot occupation goes below freq_index_min
n_min = frequency_to_n(f_min - guardband, grid)
n_max = frequency_to_n(f_max + guardband, grid) - 1
self.n_min = n_min
self.n_max = n_max
self.freq_index_min = frequency_to_n(f_min)
self.freq_index_max = frequency_to_n(f_max)
self.freq_index = list(range(n_min, n_max + 1))
if bitmap is None:
self.bitmap = [1] * (n_max - n_min + 1)
elif len(bitmap) == len(self.freq_index):
self.bitmap = bitmap
else:
raise SpectrumError(f'bitmap is not consistant with f_min{f_min} - n: {n_min} and f_max{f_max}- n :{n_max}')
def getn(self, i):
""" converts the n (itu grid) into a local index
"""
return self.freq_index[i]
def geti(self, nvalue):
""" converts the local index into n (itu grid)
"""
return self.freq_index.index(nvalue)
def insert_left(self, newbitmap):
""" insert bitmap on the left to align oms bitmaps if their start frequencies are different
"""
self.bitmap = newbitmap + self.bitmap
temp = list(range(self.n_min - len(newbitmap), self.n_min))
self.freq_index = temp + self.freq_index
self.n_min = self.freq_index[0]
def insert_right(self, newbitmap):
""" insert bitmap on the right to align oms bitmaps if their stop frequencies are different
"""
self.bitmap = self.bitmap + newbitmap
self.freq_index = self.freq_index + list(range(self.n_max, self.n_max + len(newbitmap)))
self.n_max = self.freq_index[-1]
# +'grid available_slots f_min f_max services_list')
OMSParams = namedtuple('OMSParams', 'oms_id el_id_list el_list')
class OMS:
""" OMS class is the logical container that represent a link between two adjacent ROADMs and
records the crossed elements and the occupied spectrum
"""
def __init__(self, *args, **params):
params = OMSParams(**params)
self.oms_id = params.oms_id
self.el_id_list = params.el_id_list
self.el_list = params.el_list
self.spectrum_bitmap = []
self.nb_channels = 0
self.service_list = []
# TODO
def __str__(self):
return '\n\t'.join([f'{type(self).__name__} {self.oms_id}',
f'{self.el_id_list[0]} - {self.el_id_list[-1]}'])
def __repr__(self):
return '\n\t'.join([f'{type(self).__name__} {self.oms_id}',
f'{self.el_id_list[0]} - {self.el_id_list[-1]}', '\n'])
def add_element(self, elem):
""" records oms elements
"""
self.el_id_list.append(elem.uid)
self.el_list.append(elem)
def update_spectrum(self, f_min, f_max, guardband=0.15e12, existing_spectrum=None,
grid=0.00625e12):
""" frequencies expressed in Hz
"""
if existing_spectrum is None:
# add some 150 GHz margin to enable a center channel on f_min
# use ITU-T G694.1
# Flexible DWDM grid definition
# For the flexible DWDM grid, the allowed frequency slots have a nominal
# central frequency (in THz) defined by:
# 193.1 + n × 0.00625 where n is a positive or negative integer including 0
# and 0.00625 is the nominal central frequency granularity in THz
# and a slot width defined by:
# 12.5 × m where m is a positive integer and 12.5 is the slot width granularity in
# GHz.
# Any combination of frequency slots is allowed as long as no two frequency
# slots overlap.
# TODO : add explaination on that / parametrize ....
self.spectrum_bitmap = Bitmap(f_min, f_max, grid, guardband)
# print(len(self.spectrum_bitmap.bitmap))
def assign_spectrum(self, nvalue, mvalue):
""" change oms spectrum to mark spectrum assigned
"""
if not isinstance(nvalue, int):
raise SpectrumError(f'N must be a signed integer, got {nvalue}')
if not isinstance(mvalue, int):
raise SpectrumError(f'M must be an integer, got {mvalue}')
if mvalue <= 0:
raise SpectrumError(f'M must be positive, got {mvalue}')
if nvalue > self.spectrum_bitmap.freq_index_max:
raise SpectrumError(f'N {nvalue} over the upper spectrum boundary')
if nvalue < self.spectrum_bitmap.freq_index_min:
raise SpectrumError(f'N {nvalue} below the lower spectrum boundary')
startn, stopn = mvalue_to_slots(nvalue, mvalue)
if stopn > self.spectrum_bitmap.n_max:
raise SpectrumError(f'N {nvalue}, M {mvalue} over the N spectrum bitmap bounds')
if startn <= self.spectrum_bitmap.n_min:
raise SpectrumError(f'N {nvalue}, M {mvalue} below the N spectrum bitmap bounds')
self.spectrum_bitmap.bitmap[self.spectrum_bitmap.geti(startn):self.spectrum_bitmap.geti(stopn) + 1] = [0] * (stopn - startn + 1)
def add_service(self, service_id, nb_wl):
""" record service and mark spectrum as occupied
"""
self.service_list.append(service_id)
self.nb_channels += nb_wl
def frequency_to_n(freq, grid=0.00625e12):
""" converts frequency into the n value (ITU grid)
reference to Recommendation G.694.1 (02/12), Figure I.3
https://www.itu.int/rec/T-REC-G.694.1-201202-I/en
>>> frequency_to_n(193.1375e12)
6
>>> frequency_to_n(193.225e12)
20
"""
return (int)((freq - 193.1e12) / grid)
def nvalue_to_frequency(nvalue, grid=0.00625e12):
""" converts n value into a frequency
reference to Recommendation G.694.1 (02/12), Table 1
https://www.itu.int/rec/T-REC-G.694.1-201202-I/en
>>> nvalue_to_frequency(6)
193137500000000.0
>>> nvalue_to_frequency(-1, 0.1e12)
193000000000000.0
"""
return 193.1e12 + nvalue * grid
def mvalue_to_slots(nvalue, mvalue):
""" convert center n an m into start and stop n
"""
startn = nvalue - mvalue
stopn = nvalue + mvalue - 1
return startn, stopn
def slots_to_m(startn, stopn):
""" converts the start and stop n values to the center n and m value
reference to Recommendation G.694.1 (02/12), Figure I.3
https://www.itu.int/rec/T-REC-G.694.1-201202-I/en
>>> nval, mval = slots_to_m(6, 20)
>>> nval
13
>>> mval
7
"""
nvalue = (int)((startn + stopn + 1) / 2)
mvalue = (int)((stopn - startn + 1) / 2)
return nvalue, mvalue
def m_to_freq(nvalue, mvalue, grid=0.00625e12):
""" converts m into frequency range
spectrum(13,7) is (193137500000000.0, 193225000000000.0)
reference to Recommendation G.694.1 (02/12), Figure I.3
https://www.itu.int/rec/T-REC-G.694.1-201202-I/en
>>> fstart, fstop = m_to_freq(13, 7)
>>> fstart
193137500000000.0
>>> fstop
193225000000000.0
"""
startn, stopn = mvalue_to_slots(nvalue, mvalue)
fstart = nvalue_to_frequency(startn, grid)
fstop = nvalue_to_frequency(stopn + 1, grid)
return fstart, fstop
def align_grids(oms_list):
""" used to apply same grid to all oms : same starting n, stop n and slot size
out of grid slots are set to 0
"""
n_min = min([o.spectrum_bitmap.n_min for o in oms_list])
n_max = max([o.spectrum_bitmap.n_max for o in oms_list])
for this_o in oms_list:
if (this_o.spectrum_bitmap.n_min - n_min) > 0:
this_o.spectrum_bitmap.insert_left([0] * (this_o.spectrum_bitmap.n_min - n_min))
if (n_max - this_o.spectrum_bitmap.n_max) > 0:
this_o.spectrum_bitmap.insert_right([0] * (n_max - this_o.spectrum_bitmap.n_max))
return oms_list
def build_oms_list(network, equipment):
""" initialization of OMS list in the network
an oms is build reading all intermediate nodes between two adjacent ROADMs
each element within the list is being added an oms and oms_id to record the
oms it belongs to.
the function supports different spectrum width and supposes that the whole network
works with the min range among OMSs
"""
oms_id = 0
oms_list = []
for node in [n for n in network.nodes() if isinstance(n, Roadm)]:
for edge in network.edges([node]):
if not isinstance(edge[1], Transceiver):
nd_in = edge[0] # nd_in is a Roadm
try:
nd_in.oms_list.append(oms_id)
except AttributeError:
nd_in.oms_list = []
nd_in.oms_list.append(oms_id)
nd_out = edge[1]
params = {}
params['oms_id'] = oms_id
params['el_id_list'] = []
params['el_list'] = []
oms = OMS(**params)
oms.add_element(nd_in)
while not isinstance(nd_out, Roadm):
oms.add_element(nd_out)
# add an oms_id in the element
nd_out.oms_id = oms_id
nd_out.oms = oms
n_temp = nd_out
nd_out = next(n[1] for n in network.edges([n_temp]) if n[1].uid != nd_in.uid)
nd_in = n_temp
oms.add_element(nd_out)
# nd_out is a Roadm
try:
nd_out.oms_list.append(oms_id)
except AttributeError:
nd_out.oms_list = []
nd_out.oms_list.append(oms_id)
oms.update_spectrum(equipment['SI']['default'].f_min,
equipment['SI']['default'].f_max, grid=0.00625e12)
# oms.assign_spectrum(13,7) gives back (193137500000000.0, 193225000000000.0)
# as in the example in the standard
# oms.assign_spectrum(13,7)
oms_list.append(oms)
oms_id += 1
oms_list = align_grids(oms_list)
reversed_oms(oms_list)
return oms_list
def reversed_oms(oms_list):
""" identifies reversed OMS
only applicable for non parallel OMS
"""
for oms in oms_list:
has_reversed = False
for this_o in oms_list:
if (oms.el_id_list[0] == this_o.el_id_list[-1] and
oms.el_id_list[-1] == this_o.el_id_list[0]):
oms.reversed_oms = this_o
has_reversed = True
break
if not has_reversed:
oms.reversed_oms = None
def bitmap_sum(band1, band2):
"""mark occupied bitmap by 0 if the slot is occupied in band1 or in band2"""
res = []
for i, elem in enumerate(band1):
if band2[i] * elem == 0:
res.append(0)
else:
res.append(1)
return res
def spectrum_selection(pth, oms_list, requested_m, requested_n=None):
"""Collects spectrum availability and call the select_candidate function"""
# use indexes instead of ITU-T n values
path_oms = []
for elem in pth:
if not isinstance(elem, Roadm) and not isinstance(elem, Transceiver):
# only edfa, fused and fibers have oms_id attribute
path_oms.append(elem.oms_id)
# remove duplicate oms_id, order is not important
path_oms = list(set(path_oms))
# assuming all oms have same freq index
if not path_oms:
candidate = (None, None, None)
return candidate, path_oms
freq_index = oms_list[path_oms[0]].spectrum_bitmap.freq_index
freq_index_min = oms_list[path_oms[0]].spectrum_bitmap.freq_index_min
freq_index_max = oms_list[path_oms[0]].spectrum_bitmap.freq_index_max
freq_availability = oms_list[path_oms[0]].spectrum_bitmap.bitmap
for oms in path_oms[1:]:
freq_availability = bitmap_sum(oms_list[oms].spectrum_bitmap.bitmap, freq_availability)
if requested_n is None:
# avoid slots reserved on the edge 0.15e-12 on both sides -> 24
candidates = [(freq_index[i] + requested_m, freq_index[i], freq_index[i] + 2 * requested_m - 1)
for i in range(len(freq_availability))
if freq_availability[i:i + 2 * requested_m] == [1] * (2 * requested_m)
and freq_index[i] >= freq_index_min
and freq_index[i + 2 * requested_m - 1] <= freq_index_max]
candidate = select_candidate(candidates, policy='first_fit')
else:
i = oms_list[path_oms[0]].spectrum_bitmap.geti(requested_n)
# print(f'N {requested_n} i {i}')
# print(freq_availability[i-m:i+m] )
# print(freq_index[i-m:i+m])
if (freq_availability[i - requested_m:i + requested_m] == [1] * (2 * requested_m) and
freq_index[i - requested_m] >= freq_index_min
and freq_index[i + requested_m - 1] <= freq_index_max):
# candidate is the triplet center_n, startn and stopn
candidate = (requested_n, requested_n - requested_m, requested_n + requested_m - 1)
else:
candidate = (None, None, None)
# print("coucou11")
# print(candidate)
# print(freq_availability[321:321+2*m])
# a = [i+321 for i in range(2*m)]
# print(a)
# print(candidate)
return candidate, path_oms
def select_candidate(candidates, policy):
""" selects a candidate among all available spectrum
"""
if policy == 'first_fit':
if candidates:
return candidates[0]
else:
return (None, None, None)
else:
raise ServiceError('Only first_fit spectrum assignment policy is implemented.')
def pth_assign_spectrum(pths, rqs, oms_list, rpths):
""" basic first fit assignment
if reversed path are provided, means that occupation is bidir
"""
for pth, rq, rpth in zip(pths, rqs, rpths):
# computes the number of channels required
if hasattr(rq, 'blocking_reason'):
rq.N = None
rq.M = None
else:
nb_wl, requested_m = compute_spectrum_slot_vs_bandwidth(rq.path_bandwidth,
rq.spacing, rq.bit_rate)
if getattr(rq, 'M', None) is not None:
# Consistency check between the requested M and path_bandwidth
# M value should be bigger than the computed requested_m (simple estimate)
# TODO: elaborate a more accurate estimate with nb_wl * tx_osnr + possibly guardbands in case of
# superchannel closed packing.
if requested_m > rq.M:
rq.N = None
rq.M = None
rq.blocking_reason = 'NOT_ENOUGH_RESERVED_SPECTRUM'
# need to stop here for this request and not go though spectrum selection process with requested_m
continue
# use the req.M even if requested_m is smaller
requested_m = rq.M
requested_n = getattr(rq, 'N', None)
(center_n, startn, stopn), path_oms = spectrum_selection(pth + rpth, oms_list, requested_m,
requested_n)
# if requested n and m concern already occupied spectrum the previous function returns a None candidate
# if not None, center_n and start, stop frequencies are applicable to all oms of pth
# checks that spectrum is not None else indicate blocking reason
if center_n is not None:
for oms_elem in path_oms:
oms_list[oms_elem].assign_spectrum(center_n, requested_m)
oms_list[oms_elem].add_service(rq.request_id, nb_wl)
rq.N = center_n
rq.M = requested_m
else:
rq.N = None
rq.M = None
rq.blocking_reason = 'NO_SPECTRUM'
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