+++ /dev/null
-# ==================================================================================
-# Copyright (c) 2020 AT&T Intellectual Property.
-# Copyright (c) 2020 HCL Technologies 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 influxdb import DataFrameClient
-import pandas as pd
-import datetime
-
-
-class NoDataError(Exception):
- pass
-
-
-class DATABASE(object):
-
- def __init__(self, dbname, user='root', password='root', host='r4-influxdb.ricplt', port='8086'):
- self.client = DataFrameClient(host, port, user, password, dbname)
- self.data = None
-
- def read_data(self, meas='ueMeasReport', limit=100000, cellid=False, ueid=False):
- query = """select * from """ + meas
-
- if cellid:
- query += " where nrCellIdentity= '" + cellid + "'"
-
- if ueid:
- query += """ where "ue-id" = \'{}\'""".format(ueid)
- query += " ORDER BY DESC LIMIT " + str(limit)
- result = self.client.query(query)
- try:
- if len(result) != 0:
- # print("Querying data : " + meas + " : size - " + str(len(result[meas])))
- self.data = result[meas]
- self.data['measTimeStampRf'] = self.data.index
- else:
- raise NoDataError
-
- except NoDataError:
- if cellid:
- print('Data not found for ' + meas + ' CellID : '+cellid)
- elif ueid:
- print('Data not found for ' + meas + ' UEID : '+ueid)
- else:
- print('Data not found for ' + meas)
- pass
-
- def write_prediction(self, df, meas_name='QP'):
- df.index = pd.date_range(start=datetime.datetime.now(), freq='10ms', periods=len(df))
- self.client.write_points(df, meas_name)
-
-
-class DUMMY:
-
- def __init__(self):
- self.ue = pd.DataFrame([[1002, "c2/B13", 8, 69, 65, 113, 0.1, 0.1, "Waiting passenger 9", -882, -959, pd.to_datetime("2021-05-12T07:43:51.652")]], columns=["du-id", "nbCellIdentity", "prb_usage", "rsrp", "rsrq", "rssinr", "throughput", "targetTput", "ue-id", "x", "y", "measTimeStampRf"])
- self.cell = pd.read_csv('qp/dummy.csv')
- self.data = None
-
- def read_data(self, meas='ueMeasReport', limit=100000, cellid=False, ueid=False):
- if ueid:
- self.data = self.ue.head(limit)
- if cellid:
- self.data = self.cell.head(limit)
-
- def write_prediction(self, df, meas_name='QP'):
- pass