Refactor amp default in parameters

default parameters are shared between json and network function, so it is better to have them on the parameters to avoid circular dependency when importing modules Signed-off-by: EstherLerouzic <[email protected]> Change-Id: Ib9d41852e394586d36f74992c91f67f3330cc552
Telecominfraproject · Apr 25, 2024 · be7ae35 · be7ae35
1 parent 2b4a4ab
commit be7ae35
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Showing 3 changed files with 38 additions and 35 deletions.
diff --git a/gnpy/core/network.py b/gnpy/core/network.py
@@ -17,8 +17,7 @@
 from gnpy.core.exceptions import ConfigurationError, NetworkTopologyError
 from gnpy.core.utils import round2float, convert_length, psd2powerdbm, lin2db, watt2dbm, dbm2watt
 from gnpy.core.info import ReferenceCarrier, create_input_spectral_information
-from gnpy.tools import json_io
-from gnpy.core.parameters import SimParams
+from gnpy.core.parameters import SimParams, EdfaParams
 from gnpy.core.science_utils import RamanSolver
 
 
@@ -540,7 +539,7 @@ def add_roadm_booster(network, roadm):
  network.remove_edge(roadm, next_node)
  amp = elements.Edfa(
  uid=f'Edfa_booster_{roadm.uid}_to_{next_node.uid}',
- params=json_io.Amp.default_values,
+ params=EdfaParams.default_values,
  metadata={
  'location': {
  'latitude': roadm.lat,
@@ -566,7 +565,7 @@ def add_roadm_preamp(network, roadm):
  network.remove_edge(prev_node, roadm)
  amp = elements.Edfa(
  uid=f'Edfa_preamp_{roadm.uid}_from_{prev_node.uid}',
- params=json_io.Amp.default_values,
+ params=EdfaParams.default_values,
  metadata={
  'location': {
  'latitude': roadm.lat,
@@ -595,7 +594,7 @@ def add_inline_amplifier(network, fiber):
  network.remove_edge(fiber, next_node)
  amp = elements.Edfa(
  uid=f'Edfa_{fiber.uid}',
- params=json_io.Amp.default_values,
+ params=EdfaParams.default_values,
  metadata={
  'location': {
  'latitude': (fiber.lat + next_node.lat) / 2,

diff --git a/gnpy/core/parameters.py b/gnpy/core/parameters.py
@@ -398,6 +398,38 @@ def asdict(self):
 
 
 class EdfaParams:
+ default_values = {
+ 'f_min': 191.3e12,
+ 'f_max': 196.1e12,
+ 'multi_band': None,
+ 'bands': [],
+ 'type_variety': '',
+ 'type_def': '',
+ 'gain_flatmax': None,
+ 'gain_min': None,
+ 'p_max': None,
+ 'nf_model': None,
+ 'dual_stage_model': None,
+ 'preamp_variety': None,
+ 'booster_variety': None,
+ 'nf_min': None,
+ 'nf_max': None,
+ 'nf_coef': None,
+ 'nf0': None,
+ 'nf_fit_coeff': None,
+ 'nf_ripple': 0,
+ 'dgt': None,
+ 'gain_ripple': 0,
+ 'tilt_ripple': 0,
+ 'f_ripple_ref': None,
+ 'out_voa_auto': False,
+ 'allowed_for_design': False,
+ 'raman': False,
+ 'pmd': 0,
+ 'pdl': 0,
+ 'advance_configurations_from_json': None
+ }
+
  def __init__(self, **params):
  try:
  self.type_variety = params['type_variety']

diff --git a/gnpy/tools/json_io.py b/gnpy/tools/json_io.py
@@ -21,7 +21,7 @@
 from gnpy.core.science_utils import estimate_nf_model
 from gnpy.core.info import Carrier
 from gnpy.core.utils import automatic_nch, automatic_fmax, merge_amplifier_restrictions
-from gnpy.core.parameters import DEFAULT_RAMAN_COEFFICIENT
+from gnpy.core.parameters import DEFAULT_RAMAN_COEFFICIENT, EdfaParams
 from gnpy.topology.request import PathRequest, Disjunction, compute_spectrum_slot_vs_bandwidth
 from gnpy.topology.spectrum_assignment import mvalue_to_slots
 from gnpy.tools.convert import xls_to_json_data
@@ -180,35 +180,7 @@ class RamanFiber(Fiber):
 
 
 class Amp(_JsonThing):
- default_values = {
- 'f_min': 191.35e12,
- 'f_max': 196.1e12,
- 'type_variety': '',
- 'type_def': '',
- 'gain_flatmax': None,
- 'gain_min': None,
- 'p_max': None,
- 'nf_model': None,
- 'dual_stage_model': None,
- 'preamp_variety': None,
- 'booster_variety': None,
- 'nf_min': None,
- 'nf_max': None,
- 'nf_coef': None,
- 'nf0': None,
- 'nf_fit_coeff': None,
- 'nf_ripple': 0,
- 'dgt': None,
- 'gain_ripple': 0,
- 'tilt_ripple': 0,
- 'f_ripple_ref': None,
- 'out_voa_auto': False,
- 'allowed_for_design': False,
- 'raman': False,
- 'pmd': 0,
- 'pdl': 0,
- 'advance_configurations_from_json': None
- }
+ default_values = EdfaParams.default_values
 
  def __init__(self, **kwargs):
  self.update_attr(self.default_values, kwargs, 'Amp')