Select Git revision
Analyzer_DB.py

Waleed Akbar authored
Refactor in Analytics, Telemetry, and KpiManager Services and Manifest Files to Reflect Generic DB Changes. - Improvements made to `tfs.sh` script. - Added `CRDB_DATABASE` environment variable to all monitoring service manifest files and the context manifest file. - Removed the DB engine file from all monitoring services and moved it to `common.tools.database`. - Each `<service_name>_DB.py` will now retrieve the database name from the environment variable.
Code owners
Assign users and groups as approvers for specific file changes. Learn more.
Analyzer_DB.py 2.75 KiB
# Copyright 2022-2024 ETSI OSG/SDG TeraFlowSDN (TFS) (https://tfs.etsi.org/)
#
# 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.
import logging
from common.Settings import get_setting
from common.method_wrappers.Decorator import MetricsPool
from .AnalyzerModel import Analyzer as Model
from common.tools.database.GenericDatabase import Database
from common.method_wrappers.ServiceExceptions import OperationFailedException
LOGGER = logging.getLogger(__name__)
METRICS_POOL = MetricsPool('KpiManager', 'Database')
DB_NAME = get_setting('CRDB_DATABASE', default=None)
class AnalyzerDB(Database):
def __init__(self) -> None:
LOGGER.info('Init KpiManagerService')
super().__init__(DB_NAME, Model)
def select_with_filter(self, model, filter_object):
"""
Generic method to create filters dynamically based on filter_object attributes.
params: model: SQLAlchemy model class to query.
filter_object: Object that contains filtering criteria as attributes.
return: SQLAlchemy session, query and Model
"""
session = self.Session()
try:
query = session.query(Model)
# Apply filters based on the filter_object
if filter_object.analyzer_id:
query = query.filter(Model.analyzer_id.in_([a.analyzer_id.uuid for a in filter_object.analyzer_id]))
if filter_object.algorithm_names:
query = query.filter(Model.algorithm_name.in_(filter_object.algorithm_names))
if filter_object.input_kpi_ids:
input_kpi_uuids = [k.kpi_id.uuid for k in filter_object.input_kpi_ids]
query = query.filter(Model.input_kpi_ids.op('&&')(input_kpi_uuids))
if filter_object.output_kpi_ids:
output_kpi_uuids = [k.kpi_id.uuid for k in filter_object.output_kpi_ids]
query = query.filter(Model.output_kpi_ids.op('&&')(output_kpi_uuids))
except Exception as e:
LOGGER.error(f"Error creating filter of {model.__name__} table. ERROR: {e}")
raise OperationFailedException ("CreateKpiDescriptorFilter", extra_details=["unable to create the filter {:}".format(e)])
return super().select_with_filter(query, session, Model)