1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
|
# -------------------------------------------------------------------------
# Copyright (C) 2020 Wipro Limited.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
# -------------------------------------------------------------------------
#
from osdf.adapters.dcae import des
from osdf.adapters.dcae.des import DESException
from osdf.config.base import osdf_config
from osdf.logging.osdf_logging import error_log
class MlModel(object):
def __init__(self):
self.config = osdf_config.core['PCI']
def get_additional_inputs(self, dzn_data, network_cell_info):
"""Add/update additional info to the existing models.
The method returns nothing. Instead, it modifies the dzn_data
:params: dzn_data: map with data for the optimization
"""
self.compute_ml_model(dzn_data, network_cell_info)
def compute_ml_model(self, dzn_data, network_cell_info):
average_ho_threshold = self.config['ML']['average_ho_threshold']
latest_ho_threshold = self.config['ML']['latest_ho_threshold']
fixed_cells = set()
for cell in network_cell_info['cell_list']:
cell_id = cell['cell_id']
average_ho, latest_ho = self.get_ho_details(cell['cell_id'])
if average_ho > average_ho_threshold or latest_ho > latest_ho_threshold:
fixed_cells.add(cell_id)
fixed_cells.update(dzn_data.get('PCI_UNCHANGEABLE_CELLS', []))
dzn_data['PCI_UNCHANGEABLE_CELLS'] = list(fixed_cells)
def get_ho_details(self, cell_id):
service_id = self.config['DES']['service_id']
request_data = self.config['DES']['filter']
request_data['cell_id'] = cell_id
try:
result = des.extract_data(service_id, request_data)
except DESException as e:
error_log.error("Error while calling DES {}".format(e))
return 0, 0
if not result:
return 0, 0
ho_list = []
for pm_data in result:
ho = sum([int(meas['hashMap']['InterEnbOutAtt_X2HO']) for meas in pm_data['additionalMeasurements']])
ho_list.append(ho)
return sum(ho_list) / len(ho_list), ho_list[0]
|
